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Paper Citation Record · LEDGER

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis

As of 23 August 2026, this Paper Citation Record lists 100 of 111 outbound references and 0 inbound Pith citation observations for arXiv:2412.03961.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.03961 v1

Coverage vector

measured 100 of 111 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:57:28.582998Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

100 of 111 outbound references displayed

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  • verified fuzzy38
  • unresolved54
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cb337876-39f5-4772-a857-45a900f673a6 · outbound

This paper cites Health information systems, electronic medical records, and big data in global healthcare: Progress and challenges in oecd countries,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Health information systems, electronic medical records, and big data in global healthcare: Progress and challenges in oecd countries,

Reference 1

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Observation 77f7a465-cbc7-4116-8a6a-4c42396fbcf2 · outbound

This paper cites Making sense of big data in health research: towards an EU action plan,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Making sense of big data in health research: towards an EU action plan,

Reference 2

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Observation 23302fcd-bfbc-4c0b-8425-fbf0d72447f0 · outbound

This paper cites Creating value in health care through big data: opportunities and policy implications,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Creating value in health care through big data: opportunities and policy implications,

Reference 3

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Observation 6d8fbddd-ce56-4f76-b519-ae506642dbe2 · outbound

This paper cites Developing public policy to advance the use of big data in health care,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Developing public policy to advance the use of big data in health care,

Reference 4

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Observation d717bcf6-1e68-4e33-9e9f-f85cbddfe667 · outbound

This paper cites Big data for health,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Big data for health,

Reference 5

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Observation 19e2fede-a292-49b6-a2e2-31a748877f3d · outbound

This paper cites Toward a national framework for the secondary use of health data: an American Medical Informatics Association White Paper,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Toward a national framework for the secondary use of health data: an American Medical Informatics Association White Paper,

Reference 6

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Observation 70f364b4-6852-44f9-a2c4-65d03ca6ec0a · outbound

This paper cites Personalized care planning for diabetes: policy lessons from systematic reviews of consultation and self-management interventions,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Personalized care planning for diabetes: policy lessons from systematic reviews of consultation and self-management interventions,

Reference 7

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Observation 5b172f80-2b1a-454f-8726-483b22f48597 · outbound

This paper cites Data driven analytics for personalized healthcare,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Data driven analytics for personalized healthcare,

Reference 8

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Observation c2002827-f45e-4cb8-918b-be95834b938a · outbound

This paper cites Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Data-driven modeling and prediction of blood glucose dynamics: Machine learning applications in type 1 diabetes,

Reference 9

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Observation ee9ae9a0-9b75-4066-bfab-9177af8fe590 · outbound

This paper cites Enhancing healthcare quality in hospitals through electronic health records: A systematic review,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Enhancing healthcare quality in hospitals through electronic health records: A systematic review,

Reference 10

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Observation be935b52-5367-4e25-ab86-09ae533045d4 · outbound

This paper cites Challenges and opportunities of big data in health care: a systematic review,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Challenges and opportunities of big data in health care: a systematic review,

Reference 11

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Observation c1e7adb4-1f4f-49f6-a9ac-942c5475921e · outbound

This paper cites A structured analysis to study the role of 12 machine learning and deep learning in the healthcare sector with big data analytics,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis A structured analysis to study the role of 12 machine learning and deep learning in the healthcare sector with big data analytics,

Reference 12

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Observation d6371e96-17b7-409f-9027-b16878b6fc60 · outbound

This paper cites Automatic News Generation and Fact-Checking System Based on Language Processing.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Automatic News Generation and Fact-Checking System Based on Language Processing

Reference 13

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Observation d46bbf44-79e0-4732-9c23-a5c8e4fd375d · outbound

This paper cites AI and big data in healthcare: towards a more comprehensive research framework for multimorbidity,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis AI and big data in healthcare: towards a more comprehensive research framework for multimorbidity,

Reference 14

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Observation e192e956-32a5-402e-a7a4-e0f3cddf5559 · outbound

This paper cites Natural language processing systems for capturing and standardizing unstructured clinical information: a systematic review,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Natural language processing systems for capturing and standardizing unstructured clinical information: a systematic review,

Reference 15

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Observation fabfc477-8bf5-44c6-9619-bba52632fbd2 · outbound

This paper cites Data processing and text mining technologies on electronic medical records: a review,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Data processing and text mining technologies on electronic medical records: a review,

Reference 16

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Observation 1bc8948a-d6f3-4319-9cbc-091b6639c9a0 · outbound

This paper cites Artificial intelligence approaches using natural language processing to advance EHR-based clinical research,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Artificial intelligence approaches using natural language processing to advance EHR-based clinical research,

Reference 17

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Observation 65049b19-c6f9-422c-bfb3-f4457aafa4eb · outbound

This paper cites Simplified Fixed Frequency Phase Shift Modulation for A Novel Single-Stage Single Phase Series-Resonant AC-DC Converter,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Simplified Fixed Frequency Phase Shift Modulation for A Novel Single-Stage Single Phase Series-Resonant AC-DC Converter,

Reference 18

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Observation a9291aff-eab1-404c-a9f3-322a73f106d7 · outbound

This paper cites Interpretable filter based convolutional neural network (IF-CNN) for glucose prediction and classification using PD-SS algorithm,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Interpretable filter based convolutional neural network (IF-CNN) for glucose prediction and classification using PD-SS algorithm,

Reference 19

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Observation 7e283dba-69d8-493a-b3a3-349ad00e4318 · outbound

This paper cites Classification and regression tree analysis vs. multivariable linear and logistic regression methods as statistical tools for studying haemophilia,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Classification and regression tree analysis vs. multivariable linear and logistic regression methods as statistical tools for studying haemophilia,

Reference 20

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Observation 5c1e1f6f-aea6-4ed1-b20c-9908f00e0bc2 · outbound

This paper cites Utilizing home health care electronic health records for telehomecare patients with heart failure: a decision tree approach to detect associations with rehospitalizations,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Utilizing home health care electronic health records for telehomecare patients with heart failure: a decision tree approach to detect associations with rehospitalizations,

Reference 21

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Observation 90e385bb-c7c5-409e-aeef-24c67acf63b4 · outbound

This paper cites Combining structured and unstructured data for predictive models: a deep learning approach,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Combining structured and unstructured data for predictive models: a deep learning approach,

Reference 22

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Observation 5dbf340b-69cc-4027-97f3-e47e41aabeca · outbound

This paper cites Predicting cardiovascular health trajectories in time- series electronic health records with LSTM models,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Predicting cardiovascular health trajectories in time- series electronic health records with LSTM models,

Reference 23

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Observation 0bec181a-782a-43fa-9199-0501f54d8cd1 · outbound

This paper cites Occluded person re-identification with deep learning: A survey and perspectives,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Occluded person re-identification with deep learning: A survey and perspectives,

Reference 24

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Observation 14f4e3b6-438e-46f6-bfdd-70d237bb868f · outbound

This paper cites Implementation and use of disease diagnosis systems for electronic medical records based on machine learning: A complete review,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Implementation and use of disease diagnosis systems for electronic medical records based on machine learning: A complete review,

Reference 25

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Observation 3ade94ff-e3ba-4c1e-ae9c-47a0f0168217 · outbound

This paper cites Named entity recognition method of Chinese EMR based on BERT-BiLSTM-CRF,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Named entity recognition method of Chinese EMR based on BERT-BiLSTM-CRF,

Reference 26

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Observation 4da3e5a8-9630-47be-8141-bd63dae39412 · outbound

This paper cites Research of clinical named entity recognition based on Bi-LSTM- CRF,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Research of clinical named entity recognition based on Bi-LSTM- CRF,

Reference 27

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Observation a9928c8f-6059-4887-885a-eccf49631c9f · outbound

This paper cites Deformation depth decoupling network for point cloud domain adaptation,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Deformation depth decoupling network for point cloud domain adaptation,

Reference 28

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Observation dd0d5364-8ec2-4a86-a6c2-cfb28d10570b · outbound

This paper cites Systematic evaluation of research progress on natural language processing in medicine over the past 20 years: bibliometric study on PubMed,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Systematic evaluation of research progress on natural language processing in medicine over the past 20 years: bibliometric study on PubMed,

Reference 29

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Observation f8203e09-fbeb-4263-be35-755d366cf896 · outbound

This paper cites Research and application progress of Chinese medical knowledge graph,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Research and application progress of Chinese medical knowledge graph,

Reference 30

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Observation 9b3919f6-f843-4166-851a-50c7f253f9d8 · outbound

This paper cites A data-driven fault detection approach for Modular Reconfigurable Flying Array based on the Improved Deep Forest,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis A data-driven fault detection approach for Modular Reconfigurable Flying Array based on the Improved Deep Forest,

Reference 31

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This paper cites PFVAE: a planar flow-based 13 variational auto-encoder prediction model for time series data,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis PFVAE: a planar flow-based 13 variational auto-encoder prediction model for time series data,

Reference 32

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Observation 9ae90e40-4f09-4052-bbc0-174cbf757757 · outbound

This paper cites an unresolved cited work.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Unresolved cited work

Reference 33

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Observation 0ed5c959-8682-4f62-a341-45fcb6016af9 · outbound

This paper cites Inducing decision trees with an ant colony optimization algorithm,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Inducing decision trees with an ant colony optimization algorithm,

Reference 34

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 88e73d2c-881a-4fb0-9e76-78a9e2609c26 · outbound

This paper cites Decision tree (DT): a valuable tool for water resources engineering,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Decision tree (DT): a valuable tool for water resources engineering,

Reference 35

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation b1e5caaa-760c-4e50-b81d-69addfc8db63 · outbound

This paper cites Optimization of automated garbage recognition model based on resnet- 50 and weakly supervised cnn for sustainable urban development,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Optimization of automated garbage recognition model based on resnet- 50 and weakly supervised cnn for sustainable urban development,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.449154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.402116Z digest=sha256:9fa27df19741b28d847c06448bd6a9c0b7a96576347b4afbf9784bc7ef6bb30b

Observation 7e00c9c7-6d95-4c97-a7fc-02235a7fce75 · outbound

This paper cites Unsupervised K- means clustering algorithm,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Unsupervised K- means clustering algorithm,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.442880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.404294Z digest=sha256:b89ec1e9c24a19f38ceec623244c6174d2c1ebf741a7f4293f99ddccf62a1fa6

Observation b932b050-541c-4752-84b6-a939c8b7967f · outbound

This paper cites HCFNN: High-order coverage function neural network for image classification,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis HCFNN: High-order coverage function neural network for image classification,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T21:57:28.406374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.406374Z digest=sha256:455411f056a85ea292116b5b7459acf7ea17306dbd3dde51b1238008fba4d9f7

Observation 5f5493d9-48f3-4190-a481-eb645988d8b2 · outbound

This paper cites Bayesianism—Its scope and limits,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Bayesianism—Its scope and limits,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.436591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.408793Z digest=sha256:6d07dfa62dc28dc87de580d608997ea88b1e34f9a7447b9a6db9d4c69090520e

Observation 03112b87-9f62-4f9a-bfb6-222c629c0fea · outbound

This paper cites Support vector machines based non- contact fault diagnosis system for bearings,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Support vector machines based non- contact fault diagnosis system for bearings,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.429574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.411364Z digest=sha256:d586b82deb7f9820ac809562c9bc3589c5d6b339cae7bb54ef4364acf1291442

Observation 9690f882-bf12-432b-8c17-d38d3960ff35 · outbound

This paper cites Lightgbm: A highly efficient gradient boosting decision tree,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Lightgbm: A highly efficient gradient boosting decision tree,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.422104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.413815Z digest=sha256:5fee70276cd1bc88ea9c19323d9b7870e5a68d7d293e18836342b70182f6fe10

Observation be6bd7cd-7546-41a2-b8c8-19e140de33ec · outbound

This paper cites CLU-CNNs: Object detection for medical images,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis CLU-CNNs: Object detection for medical images,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.414176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.416407Z digest=sha256:f430ce3569b9092b31193268e337f9c61d09e716be353a60e3f22db438242ea4

Observation 3b3fb116-402f-49c1-9228-255960e048e1 · outbound

This paper cites 3D deep learning on medical images: a review,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis 3D deep learning on medical images: a review,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.406785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.419014Z digest=sha256:fd5e7b98207addfdf3abcfced242af84692fe77bbbb2b8cd372f6ec85551228f

Observation 8f631473-1601-47d6-963d-9e7722b97e26 · outbound

This paper cites Predicting patients' satisfaction with doctors in online medical communities: An approach based on XGBoost algorithm,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Predicting patients' satisfaction with doctors in online medical communities: An approach based on XGBoost algorithm,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.399474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.421731Z digest=sha256:820f090baaac0e1ae19b06f2023d51d1550416289d653bb4124dd44345e61e72

Observation a6a17e34-8efb-472d-b7ca-f4c6b6af290d · outbound

This paper cites An optimization-based diabetes prediction model using CNN and Bi- directional LSTM in real-time environment,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis An optimization-based diabetes prediction model using CNN and Bi- directional LSTM in real-time environment,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.391720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.424622Z digest=sha256:096f45c23be0c183820dbd2bd8c7b46a518d1c3b76fc5d684fb679ef31be9ce1

Observation 14f1b455-fcdb-4320-bd1a-301a6034c901 · outbound

This paper cites 3D-CNN-SPP: A patient risk prediction system from electronic health records via 3D CNN and spatial pyramid pooling,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis 3D-CNN-SPP: A patient risk prediction system from electronic health records via 3D CNN and spatial pyramid pooling,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.383442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.427193Z digest=sha256:46a3f5bdf5b8c75b05617aee6a1d1c9d5f95d2958b4ed2a02cc62c9212662b04

Observation b8882f7c-c914-46ab-b8c1-6cef31a687e9 · outbound

This paper cites Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction,.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.375599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.429878Z digest=sha256:9416fffebcbf880bc0fe33750133077c54538f3ea4cfc9b16619a829d8473010

Observation 750c9527-5de7-4a06-98a1-db4fc3d225db · outbound

This paper cites Fleet rebalancing for expanding shared e-Mobility systems: A multi- agent deep reinforcement learning approach.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Fleet rebalancing for expanding shared e-Mobility systems: A multi- agent deep reinforcement learning approach

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.367840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.432660Z digest=sha256:d3a1418df0da5129945555319a2a0ba4ee66652d3a9cfca5194606916882ab98

Observation 6f6143d2-cc3f-4bf6-84ba-2ce1d699193b · outbound

This paper cites Application of Deep Learning Models Based on EfficientDet and OpenPose in User-Oriented Motion Rehabilitation Robot Control.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Application of Deep Learning Models Based on EfficientDet and OpenPose in User-Oriented Motion Rehabilitation Robot Control

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.359854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.435342Z digest=sha256:9bb722260f0ad85df564eed181fa6526912368b237aa373c3a951bd54c9909ec

Observation 9da0587b-9f19-4365-a403-95012e7cff18 · outbound

This paper cites Classification of DNA Sequences: Performance Evaluation of Multiple Machine Learning Methods.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Classification of DNA Sequences: Performance Evaluation of Multiple Machine Learning Methods

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.352598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.437983Z digest=sha256:e7e6ddad08d14c8d43a44a2fe51f0b9c436526f8e85a21f8678ce3df904e6bd1

Observation d9157a7a-c588-4850-86c1-d8502d0d55be · outbound

This paper cites Real-time monitoring of lower limb movement resistance based on deep learning.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Real-time monitoring of lower limb movement resistance based on deep learning

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-11T21:57:28.440693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.440693Z digest=sha256:a3f06edae6afbc25eeb47ca9751f1e5452e987937e0382d41133167f22a3c99d

Observation 46123842-5f85-462f-9a51-0c580c992098 · outbound

This paper cites AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis AdaPI: Facilitating DNN Model Adaptivity for Efficient Private Inference in Edge Computing

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:57:28.997034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.443287Z digest=sha256:06a684be66b42c40114039df313c836e5c0aad57374f03af3ac11b193e5f86e7

Observation f379b201-6ae0-437a-8289-c1da1cdf65d6 · outbound

This paper cites Big data and machine learning in defence.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Big data and machine learning in defence

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.341858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.446347Z digest=sha256:658c764d7a29c60af67fbff975c0cd85b5b1b68eda20d0fa2cf46a20c2c70252

Observation 7c848c80-cd08-4fb3-8b11-125cab6b08cf · outbound

This paper cites Construction and optimization of health behavior prediction 14 model for the elderly in smart elderly care.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Construction and optimization of health behavior prediction 14 model for the elderly in smart elderly care

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.335034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.448997Z digest=sha256:adf6d3064cf0da2002676c08034efd101ec3e5e929699bf580e48243ac3e3dd3

Observation dc00feb5-2388-4b17-868c-522c2ec783bf · outbound

This paper cites Computational study of the role of counterions and solvent dielectric in determining the conductance of B-DNA.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Computational study of the role of counterions and solvent dielectric in determining the conductance of B-DNA

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.327633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.452113Z digest=sha256:6cea84acc566991cca9feb97e84855542ea4d4c6e0268741cb9317df88ff9607

Observation 73774849-a0f6-4cec-a3b9-0fcdda0d2e49 · outbound

This paper cites Regional BDS satellite clock estimation with triple-frequency ambiguity resolution based on undifferenced observation.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Regional BDS satellite clock estimation with triple-frequency ambiguity resolution based on undifferenced observation

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.320057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.455303Z digest=sha256:5c21c01a82c679ab2bed891129148d26c2507cabe7dd4ae77d779325670709db

Observation b0a57e48-b693-4688-a64d-040f096ec002 · outbound

This paper cites Optimization of automated garbage recognition model based on ResNet-50 and weakly supervised CNN for sustainable urban development.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Optimization of automated garbage recognition model based on ResNet-50 and weakly supervised CNN for sustainable urban development

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.311834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.458199Z digest=sha256:63737c97919885964f8b22db2cc9796b7646e21ca0e0ab8eb1ff6d013fba2b48

Observation 0065b545-d77a-42f4-b1f4-41132cdbbf38 · outbound

This paper cites TD3 Based Collision Free Motion Planning for Robot Navigation.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis TD3 Based Collision Free Motion Planning for Robot Navigation

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-11T21:57:28.461136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.461136Z digest=sha256:184b4c1313f584c89c2b482cb5945f7be38af0d01c565a950c9afea672465cb1

Observation 772ed9b5-e08e-43d9-9963-e5b3bcbd6f7e · outbound

This paper cites Reinforcement Learning with Communication Latency with Application to Stop-and-Go Wave Dissipation.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Reinforcement Learning with Communication Latency with Application to Stop-and-Go Wave Dissipation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.303915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.464665Z digest=sha256:109e3b118c87489dea7d40a66d8b0004b6daf5b1003e94fe8fe3f04fc9af2195

Observation 598d3f0a-7fd8-452e-87ec-4c3341d5ac84 · outbound

This paper cites Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Theoretical Analysis of Meta Reinforcement Learning: Generalization Bounds and Convergence Guarantees

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T21:57:28.467593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.467593Z digest=sha256:c72a5b7c06f69181ec1b62679c239bc478f6f06656a36c02052dc2dca267ffea

Observation ac4f2b3c-76e5-4684-a6f3-62ca208b84ce · outbound

This paper cites Cross-border Commodity Pricing Strategy Optimization via Mixed Neural Network for Time Series Analysis.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Cross-border Commodity Pricing Strategy Optimization via Mixed Neural Network for Time Series Analysis

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T21:57:28.470424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.470424Z digest=sha256:8daeb47a0b9e7309366ea25df2e1c400550b96664b529103e442e27f1174cd57

Observation 8417e002-9f06-4a81-9ca5-9663e1d7520a · outbound

This paper cites Optimizing Automated Picking Systems in Warehouse Robots Using Machine Learning.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Optimizing Automated Picking Systems in Warehouse Robots Using Machine Learning

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T21:57:28.474023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.474023Z digest=sha256:a0a43221dd754dc8c3a2d1a24db79bd5184e5629d9bb87c2fe7cf02e05a9ef64

Observation 5368afe9-9a91-4e24-b8f2-824be19f3067 · outbound

This paper cites Modeling and Simulation of DNA Origami based Electronic Read-only Memory.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Modeling and Simulation of DNA Origami based Electronic Read-only Memory

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.296119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.477598Z digest=sha256:ed25fe88b9fbd40d75b824c2089f9f12b5dbee71540df342f63186d02a0f94d8

Observation fdebe6f3-aabc-40ad-8aa7-40fb824dcf0f · outbound

This paper cites Real-time Monitoring and Analysis of Track and Field Athletes Based on Edge Computing and Deep Reinforcement Learning Algorithm.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Real-time Monitoring and Analysis of Track and Field Athletes Based on Edge Computing and Deep Reinforcement Learning Algorithm

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:57:28.760980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.480491Z digest=sha256:018b80af8552ae809b3634a52573ebe6293e6514713ebb90a0fd73f8e3128662

Observation 4b91e9f3-f039-45a7-ac5f-c87b456dca9f · outbound

This paper cites Performance analysis of DNA crossbar arrays for high- density memory storage applications.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Performance analysis of DNA crossbar arrays for high- density memory storage applications

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.288318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.483452Z digest=sha256:4758a9e94cd9b651edd36f459bba70c1b228f402a8211b4691ace70b63ecc83c

Observation 72bfb01a-ce52-4baa-84b5-aafc185a6911 · outbound

This paper cites LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T21:57:28.486219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.486219Z digest=sha256:db92349df4692af672cc330441fa190525644c9bb5335dbafc973525e158e8c4

Observation 67347bdd-a216-4613-af13-f714d86224d2 · outbound

This paper cites Leveraging artificial intelligence to enhance data security and combat cyber attacks.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Leveraging artificial intelligence to enhance data security and combat cyber attacks

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.280295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.489359Z digest=sha256:7130de5db095e8677a890d37a00ea963587a873a2098f53800b1e26b9a49f142

Observation a9325888-a8dc-448b-83ba-8031366039b6 · outbound

This paper cites Graphical Structural Learning of rs-fMRI data in Heavy Smokers.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Graphical Structural Learning of rs-fMRI data in Heavy Smokers

Reference 68

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:57:28.743514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.492109Z digest=sha256:4cbd6b1550d1b24d75db03005093a3fc1373f4211a7308d4bcebf4e78d838b1c

Observation 265c7f9c-6f2e-4839-b151-6a21926623c5 · outbound

This paper cites EITNet: An IoT- enhanced framework for real-time basketball action recognition.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis EITNet: An IoT- enhanced framework for real-time basketball action recognition

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-11T21:57:28.494521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.494521Z digest=sha256:8ef043c9483cb4887ad8eb8aaed30a859d057c21aca4b7d5565d3a0d2cdd1070

Observation 957214eb-4306-4c88-a4be-435603b9a6ae · outbound

This paper cites Using Automated Vehicle Data as a Fitness Tracker for Sustainability.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Using Automated Vehicle Data as a Fitness Tracker for Sustainability

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.268617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.496686Z digest=sha256:78c163e1ec46c8cb5e8b37d9fa4f0530af281281da786164d6a216d4fdf5edaa

Observation b9559535-8955-472f-9e24-fc495f53bbdd · outbound

This paper cites Comprehensive Overview of Artificial Intelligence Applications in Modern Industries.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Comprehensive Overview of Artificial Intelligence Applications in Modern Industries

Reference 71

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no resolver link, observed 2026-08-11T21:57:28.499210Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.499210Z digest=sha256:ff8b5e8db6a9c039a9ace2a82bb96aa63fca4cfd4ec3b1a6eaa567bb27e62a83

Observation fab50495-2fe7-4c38-97e9-3a36cb78ff3c · outbound

This paper cites Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Deep Learning-based Anomaly Detection and Log Analysis for Computer Networks

Reference 72

Resolution
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no resolver link, observed 2026-08-11T21:57:28.502364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.502364Z digest=sha256:465dbed5ca9611489d6e98bd2f12dac005825d1c9cb1a6f9d7d901db87749e64

Observation 1f8f929c-c7ad-475e-b002-33a54181979e · outbound

This paper cites DSEM-NeRF: Multimodal feature fusion and global-local attention for enhanced 3D scene reconstruction.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis DSEM-NeRF: Multimodal feature fusion and global-local attention for enhanced 3D scene reconstruction

Reference 73

Resolution
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no resolver link, observed 2026-08-11T21:57:28.505062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.505062Z digest=sha256:4867f2a6eb30eb613fadb1f8960a4c24afa5a8c35ba5e74e1c1255f96ede52c9

Observation 49777985-6be6-406d-a324-28ec1406e238 · outbound

This paper cites Enhancing Visual Question Answering through Ranking-Based Hybrid Training and Multimodal Fusion.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Enhancing Visual Question Answering through Ranking-Based Hybrid Training and Multimodal Fusion

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-11T21:57:28.507901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.507901Z digest=sha256:c3f4cb422df2f68bbfa509ebc3551b7e29a3a255e4a2c2736ce7887eedcd4e21

Observation 1f846376-69b8-4145-8b67-a66e4965832d · outbound

This paper cites Identification of Prognostic Biomarkers for Stage III Non-Small Cell Lung Carcinoma in Female Nonsmokers Using Machine Learning.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Identification of Prognostic Biomarkers for Stage III Non-Small Cell Lung Carcinoma in Female Nonsmokers Using Machine Learning

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-11T21:57:28.510586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.510586Z digest=sha256:73d32c5ae27d9298af7961a4098c2922327353939d5a9fea3666f8a4dd07d6eb

Observation d70c37d8-1a7f-4f44-818d-6a6663bf15a5 · outbound

This paper cites Runtime monitoring of accidents in driving recordings with multi-type logic in empirical models.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Runtime monitoring of accidents in driving recordings with multi-type logic in empirical models

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.248841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.513525Z digest=sha256:c6a7ca572cf949ef90d3459886927d01a6658dc350be70347bfe329ff9a4f750

Observation 5a37cf09-b262-43c5-862d-7b38f65898c2 · outbound

This paper cites Deep Reinforcement Learning-based Obstacle Avoidance for Robot Movement in Warehouse Environments.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Deep Reinforcement Learning-based Obstacle Avoidance for Robot Movement in Warehouse Environments

Reference 77

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:57:28.720236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.516199Z digest=sha256:823f328bfd7bbfd0344346e757949a53ebbec26a2670b84b5e3f9ff07a404f48

Observation b92a4c0e-c965-42cb-a0a3-29b1810ce432 · outbound

This paper cites Recording brain activity while listening to music using wearable EEG devices combined with Bidirectional Long Short-Term Memory Networks.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Recording brain activity while listening to music using wearable EEG devices combined with Bidirectional Long Short-Term Memory Networks

Reference 78

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unresolved
no resolver link, observed 2026-08-11T21:57:28.519068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.519068Z digest=sha256:891d402a5158f25fe7b13f64deddef85a60d63f66010c3ccc4444df116c0862f

Observation a56581a2-8264-4381-9deb-6f5a7c7183a1 · outbound

This paper cites Traffic smoothing via connected & automated vehicles: A modular, hierarchical control design deployed in a 100- cav flow smoothing experiment.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Traffic smoothing via connected & automated vehicles: A modular, hierarchical control design deployed in a 100- cav flow smoothing experiment

Reference 79

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verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.237086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.521828Z digest=sha256:f0f91efa319dab6607dce05da6f52a01d3a6f634a180f4ab6dfafcbb10ad0ed4

Observation a0c66619-d20e-47f9-8a8d-b68fda52a203 · outbound

This paper cites A machine learning approach for accurate and real-time DNA sequence identification.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis A machine learning approach for accurate and real-time DNA sequence identification

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.229858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.524528Z digest=sha256:b9e02e81e404844b290e44e9f07268bc5d52fc36942ea97c3859bf54fb7f4856

Observation b7dc7a17-8e0c-4430-94a0-bea6bc932f17 · outbound

This paper cites Performance evaluation of QUIC with BBR in satellite internet.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Performance evaluation of QUIC with BBR in satellite internet

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.222253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.527133Z digest=sha256:8167e78f6f72f268721b53518cae75b8317e9e46914762fa656021f0c743d869

Observation 7334af8c-9a2a-4819-8ade-048a3a68a794 · outbound

This paper cites Music genre classification with transformer classifier.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Music genre classification with transformer classifier

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.214854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.529757Z digest=sha256:6a58d6fd3864d1e5f53ee52fb09a4235cbcef2b6ee507ddbef53616da355d722

Observation 5adb0fa4-e1f5-4e39-a473-211c90136135 · outbound

This paper cites Research on empirical correction models of GPS Block IIF and BDS satellite inter-frequency clock bias.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Research on empirical correction models of GPS Block IIF and BDS satellite inter-frequency clock bias

Reference 83

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no resolver link, observed 2026-08-11T21:57:28.532436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.532436Z digest=sha256:e098b145cdafb241b346f536797bcd9236af4f1d63cb5164d718f68eee97a057

Observation 7e227fe6-9b0a-4f22-983a-ee61fed202f3 · outbound

This paper cites Image anomaly detection and prediction scheme based on SSA optimized ResNet50-BiGRU model.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Image anomaly detection and prediction scheme based on SSA optimized ResNet50-BiGRU model

Reference 84

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no resolver link, observed 2026-08-11T21:57:28.535546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.535546Z digest=sha256:6864a6c3565577a133d4d0467f13d824a264174099945807d21129484522c2e9

Observation 37f6d791-12fa-4586-943d-07e59e580e64 · outbound

This paper cites Enhancing human pose estimation in sports training: Integrating spatiotemporal transformer for improved accuracy and real-time performance.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Enhancing human pose estimation in sports training: Integrating spatiotemporal transformer for improved accuracy and real-time performance

Reference 85

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no resolver link, observed 2026-08-11T21:57:28.538804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.538804Z digest=sha256:2f429556c5316c072dd3f70fe1bb6f0a6744290535bae329ae0be60da88d478d

Observation 6dedb7ac-d90e-42ed-a277-adcd2c5628ac · outbound

This paper cites CU-Net: a U-Net architecture for efficient brain-tumor segmentation on BraTS 2019 dataset.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis CU-Net: a U-Net architecture for efficient brain-tumor segmentation on BraTS 2019 dataset

Reference 86

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:57:28.703419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.541834Z digest=sha256:f86e0bb6867708872097f7cc24a8e3f5d36c9e197517c6f848a9c2a4fad21be6

Observation 03e1a50f-ff6e-4e09-867d-6c14ed2b58fa · outbound

This paper cites Accel-gcn: High-performance gpu accelerator design for graph convolution networks.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Accel-gcn: High-performance gpu accelerator design for graph convolution networks

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.198723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.545533Z digest=sha256:9dc8ba3c54c4a03a0712f97bc393ecac03a627417a038de7633fa27dd91621c0

Observation 230b14c5-c385-49f2-a13f-17c18f8d46d7 · outbound

This paper cites MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis MaxK-GNN: Extremely Fast GPU Kernel Design for Accelerating Graph Neural Networks Training

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.190962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.548888Z digest=sha256:4580f30416c7bc85fa95c342272eb92fba5c84b5f7374565bdc9c504f223b435

Observation 8ff78725-807f-482b-b753-64d4026bd0e4 · outbound

This paper cites Robust domain generalization for multi-modal object recognition.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Robust domain generalization for multi-modal object recognition

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.183192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.551959Z digest=sha256:467621777e11479e4db1dc5c4a6ba5df6d4b7c2c21c6ddd7cd93b0f3b36696b4

Observation 8f98a299-41b8-4dad-9c0b-92e89719f5b7 · outbound

This paper cites The Design of Autonomous UAV Prototypes for Inspecting Tunnel Construction Environment.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis The Design of Autonomous UAV Prototypes for Inspecting Tunnel Construction Environment

Reference 90

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no resolver link, observed 2026-08-11T21:57:28.555022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.555022Z digest=sha256:d7f1a5f40c2a7c2d3bbb0211175a2701612c2bad2cf146741bdd2d165e3aac87

Observation d308afc8-6e6a-45ab-bfe1-919f55d062c8 · outbound

This paper cites Design and Implementation of Intelligent Robot Control System Integrating Computer Vision and Mechanical Engineering.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Design and Implementation of Intelligent Robot Control System Integrating Computer Vision and Mechanical Engineering

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.171050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.558184Z digest=sha256:43031a9a6cfc7c42fb2fd40718caae1f02c19095808e9a002f9bf9289759bd95

Observation 35b0948f-a019-43fa-9905-8af5389cf769 · outbound

This paper cites Mix of Experts Language Model for Named Entity Recognition.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Mix of Experts Language Model for Named Entity Recognition

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-11T21:57:28.560907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.560907Z digest=sha256:082b48aa2984769ef3576374e5ad912cda776090543153158be9854e1ecf0138

Observation 4b1597ec-8088-4d27-8e65-3b4d0a49f162 · outbound

This paper cites TRIZ Method for Urban Building Energy Optimization: GWO-SARIMA- LSTM Forecasting model.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis TRIZ Method for Urban Building Energy Optimization: GWO-SARIMA- LSTM Forecasting model

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.163387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.563780Z digest=sha256:f588236bdaaffcca8c54593a7dc1b66d133db32b42ba1d7a29c5a10cdbeeb9a6

Observation 2f39e5f9-0f70-4ed2-b7d9-29a274de1ac2 · outbound

This paper cites Automatic News Generation and Fact-Checking System Based on Language Processing.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Automatic News Generation and Fact-Checking System Based on Language Processing

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.155486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.566393Z digest=sha256:a9d57d2809161c94ac04a9b1b98d1390b6e5b94a66e5891ce45dbfbb4161e7b0

Observation 2a764702-a667-44be-a782-3342b7490e06 · outbound

This paper cites Application of Deep Learning for Automatic Identification of Hazardous Materials and Urban Safety Supervision.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Application of Deep Learning for Automatic Identification of Hazardous Materials and Urban Safety Supervision

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-11T21:57:28.569003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.569003Z digest=sha256:e109c8c9a516ba5fbc4c3ad4476e19d43628ab88f8c792bd6dd1a3849900d3f3

Observation e082ef64-7cf9-4816-a443-c9058f30b0bf · outbound

This paper cites GTA-Net: An IoT- integrated 3D human pose estimation system for real-time adolescent sports posture correction.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis GTA-Net: An IoT- integrated 3D human pose estimation system for real-time adolescent sports posture correction

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:57:29.143642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.571540Z digest=sha256:ed22505aeea2c2c9576e7128169dbf314304d452224bd19de62ea06421f35bc0

Observation 41716f8e-f148-4b3a-b05a-15cdec735db6 · outbound

This paper cites Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Trajectory Tracking Using Frenet Coordinates with Deep Deterministic Policy Gradient

Reference 97

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:57:28.685402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.574079Z digest=sha256:6348c4c36bee66d618bea411a3a55aac09caaf2478fd6af38edd685e34c945a0

Observation b99cee3a-a168-48f5-a077-4b208a7c783c · outbound

This paper cites Deep Learning Powered Estimate of The Extrinsic Parameters on Unmanned Surface Vehicles.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Deep Learning Powered Estimate of The Extrinsic Parameters on Unmanned Surface Vehicles

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-11T21:57:28.576793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:57:28.576793Z digest=sha256:a5f8e6f2933d068e7ee4c67d441548bb16e23f63f3d1cf153f757b357fce301a

Observation a39620d1-605d-443e-9a9e-807f4a99eb2e · outbound

This paper cites Harnessing XGBoost for robust biomarker selection of obsessive-compulsive disorder (OCD) from adolescent brain cognitive development (ABCD) data.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis Harnessing XGBoost for robust biomarker selection of obsessive-compulsive disorder (OCD) from adolescent brain cognitive development (ABCD) data

Reference 99

Resolution
verified exact
doi, observed 2026-08-11T21:57:28.637527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.580052Z digest=sha256:d20f2f82fa2fb6850bb1b13c1aa33cd992d621c72d71ad7d2cfb6739689c125f

Observation e34d8f64-73c9-4c4d-afaa-addc920c7d64 · outbound

This paper cites IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPose.

Electronic Health Records-Based Data-Driven Diabetes Knowledge Unveiling and Risk Prognosis IoT-Based 3D Pose Estimation and Motion Optimization for Athletes: Application of C3D and OpenPose

Reference 100

Resolution
verified exact
local_arxiv, observed 2026-08-11T21:57:28.664185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-11T21:57:28.582998Z digest=sha256:fd577a3e690241941cbb4cee5c35b185cea566513f1ce9813a445c7181d1a4d1

Pith citing papers

No inbound Pith citation observations are available.