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Paper Citation Record · LEDGER

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes

As of 12 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 1 inbound Pith citation observation for arXiv:2412.20370.

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

pith.paper-citation-record.v1
2412.20370 v1

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:26:01.544927Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:45:07.824587Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

73 of 73 outbound references displayed

  • verified exact6
  • verified fuzzy9
  • unresolved45
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch12

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9a246ce2-eb08-4a7b-90ea-701451975837 · outbound

This paper cites Multiple -food recognition considering co -occurrence employing manifold ranking,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Multiple -food recognition considering co -occurrence employing manifold ranking,

Reference 1

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Observation 828f0442-baa2-41fd-8490-8809c28e5309 · outbound

This paper cites Large Scale Visual Food Recognition,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Large Scale Visual Food Recognition,

Reference 3

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Observation 4dc20d68-5119-4e3c-8c89-ce8d54c8c431 · outbound

This paper cites Multi -Task Learning for Food Identification and Analysis with Deep Convolutional Neural Networks,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Multi -Task Learning for Food Identification and Analysis with Deep Convolutional Neural Networks,

Reference 4

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Observation 46ea6037-ff4c-45a1-bd0b-63d00611e6e4 · outbound

This paper cites Gold-YOLO: Efficient Object Detector via Gather -and-Distribute Mechanism,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Gold-YOLO: Efficient Object Detector via Gather -and-Distribute Mechanism,

Reference 5

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Observation df336d37-a67e-485c-91d6-4818765ece74 · outbound

This paper cites DAMO-YOLO : A Report on Real-Time Object Detection Design.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes DAMO-YOLO : A Report on Real-Time Object Detection Design

Reference 6

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Observation 46383b49-0139-41ea-a1e1-e50ec6a6c859 · outbound

This paper cites YOLOX: Exceeding YOLO Series in 2021.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes YOLOX: Exceeding YOLO Series in 2021

Reference 7

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Observation 4acb7d40-f595-4451-8c57-8ddb78900463 · outbound

This paper cites Hyperparameter Learning for Deep Learning -Based Recommender Systems,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Hyperparameter Learning for Deep Learning -Based Recommender Systems,

Reference 8

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Observation 0450faec-8d07-40d4-af7a-ceedf1c35bea · outbound

This paper cites YOLO9000: Better, Faster, Stronger,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes YOLO9000: Better, Faster, Stronger,

Reference 9

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Observation 417ba62a-40a3-49e5-b940-b3a805084fc7 · outbound

This paper cites Yolov5 release v7.0.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Yolov5 release v7.0

Reference 10

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Observation 8853d52f-cb9b-43d4-8419-f83d85d0b3dd · outbound

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Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Unresolved cited work

Reference 11

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Observation 0543cc88-69d9-4ec1-abb6-7bec24939b1b · outbound

This paper cites Food Photo Recognition for Dietary Tracking: System and Experiment,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Food Photo Recognition for Dietary Tracking: System and Experiment,

Reference 12

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Observation 826f2c6a-18a5-4f5f-8dc7-09b35727eca3 · outbound

This paper cites End -to-End Object Detection with Transformers,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes End -to-End Object Detection with Transformers,

Reference 13

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Observation e480f401-e1a7-4fbc-ac32-2f2b89cf853a · outbound

This paper cites Deep Residual Learning for Image Recognition,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Deep Residual Learning for Image Recognition,

Reference 14

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Observation 1f539aac-8206-4946-98d8-d3bbeb78a64a · outbound

This paper cites A Highly Accurate Framework for Self -Labeled Semisupervised Classification in Industrial Applications,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes A Highly Accurate Framework for Self -Labeled Semisupervised Classification in Industrial Applications,

Reference 15

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Observation a56dab46-bdaa-4d78-9427-47dc4f29bc0b · outbound

This paper cites Combining deep residual neural network features with supervised machin e learning algorithms to classify diverse food image datasets,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Combining deep residual neural network features with supervised machin e learning algorithms to classify diverse food image datasets,

Reference 16

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Observation 02e90bfb-d9ce-494f-a45f-977caab1102e · outbound

This paper cites Going deeper with convolutions,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Going deeper with convolutions,

Reference 17

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Observation 308c345a-df61-4bac-96c5-a8d3411d5459 · outbound

This paper cites Intelligent system for the visual support of caloric intake of food in inhabitants of a smart city using a deep learning model,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Intelligent system for the visual support of caloric intake of food in inhabitants of a smart city using a deep learning model,

Reference 18

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Observation befc2a91-7ce8-4040-8727-5c3663352854 · outbound

This paper cites Mask R -CNN,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Mask R -CNN,

Reference 19

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Observation 94f20033-3f12-423b-9c1f-1113313241c3 · outbound

This paper cites Scale factor local search in differential evolution,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Scale factor local search in differential evolution,

Reference 20

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Observation 43bf7384-ea85-440b-8489-53552d5bfd3a · outbound

This paper cites MMLF: Multi-Metric Latent Feature Analysis for High -Dimensional and Incomplete Data,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes MMLF: Multi-Metric Latent Feature Analysis for High -Dimensional and Incomplete Data,

Reference 21

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Observation ef80eb02-7630-4d24-995a-e31ea6e5a3e5 · outbound

This paper cites Online Learning From Incomplete and Imbalanced Data Streams,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Online Learning From Incomplete and Imbalanced Data Streams,

Reference 22

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Observation 588e8e30-8f57-4181-a987-8b4a4b55ee37 · outbound

This paper cites Weighted boxes fusion: Ensembling boxes from different object detection models,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Weighted boxes fusion: Ensembling boxes from different object detection models,

Reference 23

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Observation ab10dfcf-c62e-4f1e-a6da-620855331751 · outbound

This paper cites An outlier-resilient autoencoder for representing high-dimensional and incomplete data,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes An outlier-resilient autoencoder for representing high-dimensional and incomplete data,

Reference 24

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Observation ba58ba5a-491e-45b7-930b-0890a9fef15c · outbound

This paper cites A state-migration particle swarm optimizer for adaptive latent factor analysis of high-dimensional and incomplete data,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes A state-migration particle swarm optimizer for adaptive latent factor analysis of high-dimensional and incomplete data,

Reference 25

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Observation 2a7f4efb-6a82-439f-bc50-8da0d41445a6 · outbound

This paper cites Generalized Intersection Over Union: A Metric a nd a Loss for Bounding Box Regression,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Generalized Intersection Over Union: A Metric a nd a Loss for Bounding Box Regression,

Reference 26

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Observation 62eee387-b962-4c50-98bf-f66036003e0e · outbound

This paper cites Pseudo Gradient -Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Pseudo Gradient -Adjusted Particle Swarm Optimization for Accurate Adaptive Latent Factor Analysis,

Reference 27

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Observation 2ead4a91-c79a-4b86-ba21-1027c2224bc4 · outbound

This paper cites Online Semi -supervised Learning with Mix -Typed Streaming Features,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Online Semi -supervised Learning with Mix -Typed Streaming Features,

Reference 28

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Observation b7ab3e7f-8f05-43b6-8179-38333a123c10 · outbound

This paper cites Convolutional networks for images, speech, and time series,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Convolutional networks for images, speech, and time series,

Reference 29

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Source-reported events for the cited work

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Observation 4435d006-7d11-4e6f-983d-260a1cf27596 · outbound

This paper cites Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Grab, Pay, and Eat: Semantic Food Detection for Smart Restaurants,

Reference 30

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Observation fef53da5-fd62-4dc9-8c82-8d931e556d8f · outbound

This paper cites Mining discriminative food regions for accurate food recognition,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Mining discriminative food regions for accurate food recognition,

Reference 31

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Observation f70fd1c5-4b5f-4b84-9409-bfd8f3ac83b4 · outbound

This paper cites A Double -Space and Double -Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS Prediction,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes A Double -Space and Double -Norm Ensembled Latent Factor Model for Highly Accurate Web Service QoS Prediction,

Reference 32

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Observation 60ac5f39-44ca-4ff2-beb4-de4c12ea0624 · outbound

This paper cites Robust Low-Rank Latent Feature Analysis for Spatiotemporal Signal Recovery,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Robust Low-Rank Latent Feature Analysis for Spatiotemporal Signal Recovery,

Reference 33

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Observation 66e33e90-106a-4680-8821-f5ad0c504841 · outbound

This paper cites A Deep Latent Factor Model for High -Dimensional and Sparse Matrices in Recommender Systems,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes A Deep Latent Factor Model for High -Dimensional and Sparse Matrices in Recommender Systems,

Reference 34

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Observation 04a35e63-764f-40bc-aab0-d4c080aea7c6 · outbound

This paper cites PMLF: Prediction -Sampling-based Multilayer-Structured Latent Factor Analysis,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes PMLF: Prediction -Sampling-based Multilayer-Structured Latent Factor Analysis,

Reference 35

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Observation 5428a4b3-113d-473e-890d-080487ec5661 · outbound

This paper cites A Graph -Incorporated Latent Factor Analysis Model for High -Dimensional and Sparse Data,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes A Graph -Incorporated Latent Factor Analysis Model for High -Dimensional and Sparse Data,

Reference 36

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Observation b5ad052b-5d0b-4afd-8f1e-3a4235ef58c4 · outbound

This paper cites An Adaptive Divergence -Based Non-Negative Latent Factor Model,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes An Adaptive Divergence -Based Non-Negative Latent Factor Model,

Reference 38

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source=pdf_text observed=2026-08-10T23:26:01.346068Z digest=sha256:cab788dae6d14e37b0abd6872674ade1eb37dfab54c4f6a61fc969427e3d92ff

Observation bbc6e46a-1ebe-494a-b4c6-b1d0067b2cb8 · outbound

This paper cites Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Adaptive Divergence-Based Non-Negative Latent Factor Analysis of High-Dimensional and Incomplete Matrices From Industrial Applications,

Reference 39

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source=pdf_text observed=2026-08-10T23:26:01.351679Z digest=sha256:05fd82905222aadad458bc5812b8879231a48398e6e8dbd77f8489c20fa6fb1e

Observation e05db8cf-dc73-4dd7-bab9-5b4f272349e5 · outbound

This paper cites A Nonlinear PID-Incorporated Adaptive Stochastic Gradient Descent Algorithm for Latent Factor Analysis,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes A Nonlinear PID-Incorporated Adaptive Stochastic Gradient Descent Algorithm for Latent Factor Analysis,

Reference 40

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source=pdf_text observed=2026-08-10T23:26:01.358104Z digest=sha256:dff390fd50be2c4f3ebb6a0a5bc5461169e36a9a4b4e9dc83cc9fc0741405f45

Observation da962b8b-9443-4423-881e-390daaa95083 · outbound

This paper cites Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Position-Transitional Particle Swarm Optimization-Incorporated Latent Factor Analysis,

Reference 41

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source=pdf_text observed=2026-08-10T23:26:01.363850Z digest=sha256:0852b8fce8006a63a3693dc7293182e57d8c878d8f136b54d338f4707dd624c0

Observation 474a1805-437e-45b3-a245-3d94d5f6fb90 · outbound

This paper cites A Fuzzy PID -Incorporated Stochastic Gradient Descent Algorithm for Fast and Accurate Latent Factor Analysis,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes A Fuzzy PID -Incorporated Stochastic Gradient Descent Algorithm for Fast and Accurate Latent Factor Analysis,

Reference 42

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source=pdf_text observed=2026-08-10T23:26:01.369271Z digest=sha256:3f3b61a71347069f1e60a4cb944331bb206d193ab7dbf7afb9241f2e6b319b74

Observation 4afc8deb-75b4-4ca5-a856-a3ef59bb5178 · outbound

This paper cites A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices,

Reference 43

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source=pdf_text observed=2026-08-10T23:26:01.374471Z digest=sha256:ec86c53cd5ca3abb480cfdbcaa4df15b90f7cf720c1355281a09a6b33e415648

Observation 8a0f91a4-2b30-4541-bb37-e87a0dc3879d · outbound

This paper cites MKG-FENN: A multimodal knowledge graph fused end -to-end neural network for accurate drug -drug interaction prediction,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes MKG-FENN: A multimodal knowledge graph fused end -to-end neural network for accurate drug -drug interaction prediction,

Reference 44

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source=pdf_text observed=2026-08-10T23:26:01.379834Z digest=sha256:88808aad26087368e5ae193bcebb302e3530802342ad3d2928b7dfcbfa383c89

Observation 6124347a-69d3-496c-b3ea-0e001c455523 · outbound

This paper cites A Lightweight Dynamic Storage Algorithm With Adaptive Encoding for Energy Internet,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes A Lightweight Dynamic Storage Algorithm With Adaptive Encoding for Energy Internet,

Reference 45

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:26:01.385020Z digest=sha256:20ef21c98df2104578b5c33574071b4d23502bb941690c3e21c4822a0960387e

Observation cae67b7c-b6cd-4d91-b4e1-d79f5f4fd8ac · outbound

This paper cites A Quantitative Risk Assessment Model for Distribution Cyber-Physical System Under Cyberattack,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes A Quantitative Risk Assessment Model for Distribution Cyber-Physical System Under Cyberattack,

Reference 46

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doi, observed 2026-08-10T23:26:01.604124Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:26:01.390054Z digest=sha256:4037b2aef5048527fe7c483f7e9b2bb49daa6b1e994f14bebf0c89a76cd2d0b4

Observation 00ec40ac-b36f-49fe-b240-a413e0fe2da5 · outbound

This paper cites An α-β-Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes An α-β-Divergence-Generalized Recommender for Highly Accurate Predictions of Missing User Preferences,

Reference 47

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source=pdf_text observed=2026-08-10T23:26:01.395161Z digest=sha256:abeaf512cb947b27013f54ed509ebc235a4ac67eddfc7118c029aee119a67f69

Observation 18afcb26-d0a2-4ad7-8be9-28f17416abec · outbound

This paper cites Non-Negative Latent Factor Model Based on β-Divergence for Recommender Systems,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Non-Negative Latent Factor Model Based on β-Divergence for Recommender Systems,

Reference 48

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source=pdf_text observed=2026-08-10T23:26:01.400347Z digest=sha256:8cf1226cf49f5e9f78e106879a3235776000de9e6365a4d0e51ef0b6cee57eed

Observation 506b6b9b-0f4a-4aae-9f8a-b6f3ecef78b1 · outbound

This paper cites Randomized latent factor model for high -dimensional and sparse matrices from industrial applications,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Randomized latent factor model for high -dimensional and sparse matrices from industrial applications,

Reference 49

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source=pdf_text observed=2026-08-10T23:26:01.405600Z digest=sha256:3538f7ff32513b79323bc6bb5c2509e1411e5d6bad96b280c46720e3a36565ea

Observation 91394586-afef-4740-af83-0481fc4b6e71 · outbound

This paper cites SDGNN: Symmetry-Preserving Dual-Stream Graph Neural Networks,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes SDGNN: Symmetry-Preserving Dual-Stream Graph Neural Networks,

Reference 50

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source=pdf_text observed=2026-08-10T23:26:01.411069Z digest=sha256:e8f547b597894c7acdd0cd15c353ad1a45c2dd294966be735f4b1558e2bbade3

Observation f21dce52-8c8a-4b38-bdf8-c2b8f8481713 · outbound

This paper cites Online Learning for Data Streams With Incomplete Features and Labels,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Online Learning for Data Streams With Incomplete Features and Labels,

Reference 51

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source=pdf_text observed=2026-08-10T23:26:01.416005Z digest=sha256:aa7b2ae261be079d17ea32aa6bbbc1d7aecfaeb2ce78a6b63cb99e1bdde78e9d

Observation c1608400-8f63-47cd-8d80-eda299cb1d4e · outbound

This paper cites HRST -LR: A Hessian Regularization Spatio -Temporal Low Rank Algorithm for Traffic Data Imputation,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes HRST -LR: A Hessian Regularization Spatio -Temporal Low Rank Algorithm for Traffic Data Imputation,

Reference 52

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source=pdf_text observed=2026-08-10T23:26:01.421402Z digest=sha256:928f51ba083cdda7e06104a9d7fc5ff4c793dcebc9a6e1fe6359f91c2a6bc52e

Observation 65c44c53-9032-40e0-88d2-8d0fd187e252 · outbound

This paper cites A Kalman -Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes A Kalman -Filter-Incorporated Latent Factor Analysis Model for Temporally Dynamic Sparse Data,

Reference 53

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source=pdf_text observed=2026-08-10T23:26:01.426519Z digest=sha256:c41ff75f20b0589508e8e1868a8b9425a69beb82ede1f3ebd0f587e20aabeeaa

Observation 0f6ed1de-1379-4806-9aea-4b1488256b69 · outbound

This paper cites An Effective Link-Based Clustering Algorithm for Detecting Overlapping Protein Complexes in Protein- Protein Interaction Networks,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes An Effective Link-Based Clustering Algorithm for Detecting Overlapping Protein Complexes in Protein- Protein Interaction Networks,

Reference 54

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source=pdf_text observed=2026-08-10T23:26:01.431644Z digest=sha256:7323678e2614968c6aec8c28ca41cc9d7c0ed71d721beb63ebdf4e0a7871c477

Observation 879eeff8-dcee-4a3b-81b4-92d2c10cc313 · outbound

This paper cites Neural Dynamics for Distributed Collaborative Control of Manipulators With Time Delays,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Neural Dynamics for Distributed Collaborative Control of Manipulators With Time Delays,

Reference 55

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source=pdf_text observed=2026-08-10T23:26:01.436937Z digest=sha256:562e136c584bce1fe2745ed523cf7aad852f82a39822eae9cff02dadf81ce0cd

Observation 37ec7f3c-7375-4b08-b532-7568993b11ea · outbound

This paper cites A Data -Characteristic-Aware Latent Factor Model for Web Services QoS Prediction,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes A Data -Characteristic-Aware Latent Factor Model for Web Services QoS Prediction,

Reference 56

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source=pdf_text observed=2026-08-10T23:26:01.442180Z digest=sha256:c334385ea51d481d4435d0de0eac9a299b05b4ed24f70c83d72314c96ca18761

Observation c866637a-b304-4be2-8880-381d07e57b2d · outbound

This paper cites A Fast Nonnegative Autoencoder -Based Approach to Latent Feature Analysis on High -Dimensional and Incomplete Data,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes A Fast Nonnegative Autoencoder -Based Approach to Latent Feature Analysis on High -Dimensional and Incomplete Data,

Reference 57

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source=pdf_text observed=2026-08-10T23:26:01.447132Z digest=sha256:f06a3cf20b78796e36b56959675fc7be586103b25e8cce121bed65f6ee0c3028

Observation 857055e9-891e-4f24-8a8e-7ab069e4cb57 · outbound

This paper cites Multi-Constrained Embedding for Accurate Community Detection on Undirected Networks,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Multi-Constrained Embedding for Accurate Community Detection on Undirected Networks,

Reference 58

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source=pdf_text observed=2026-08-10T23:26:01.453201Z digest=sha256:8d3b42a73021addee55ae5e4d95c9d727a05b7963b4e4488e9475ced0b057a56

Observation 16a22029-0139-4d5c-84d4-d1f4edf6cf34 · outbound

This paper cites Symmetry and Nonnegativity -Constrained Matrix Factorization for Community Detection,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Symmetry and Nonnegativity -Constrained Matrix Factorization for Community Detection,

Reference 59

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source=pdf_text observed=2026-08-10T23:26:01.458228Z digest=sha256:d77a0abc6568e2ee4c337594c01359b116cdde14100e095ae42a6c3fe047aa10

Observation 19795be2-e715-4d81-b80c-fbf1c9ece054 · outbound

This paper cites An Alternating -Direction-Method of Multipliers -Incorporated Approach to Symmetric Non -Negative Latent Factor Analysis,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes An Alternating -Direction-Method of Multipliers -Incorporated Approach to Symmetric Non -Negative Latent Factor Analysis,

Reference 60

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source=pdf_text observed=2026-08-10T23:26:01.463566Z digest=sha256:2691f497e9137827d03cc26d2f6d2000a9088a23e8f58d727c55878c1fd03c6c

Observation e2238b3f-80fe-42dd-b396-ab34c84e8e62 · outbound

This paper cites Stochastic Modeling and Performance Analysis of Migration -Enabled and Error -Prone Clouds,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Stochastic Modeling and Performance Analysis of Migration -Enabled and Error -Prone Clouds,

Reference 61

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:26:01.468772Z digest=sha256:71ae1d7a3a12883be2946e7a1c2531bf0b09bc7fdd22e6e1569b53a572d5ef61

Observation 938e3703-73a9-4bd1-8fba-c74cf00f13e7 · outbound

This paper cites FCAN-MOPSO: An Improved Fuzzy -Based Graph Clustering Algorithm for Complex Networks With Multiobjective Particle Swarm Optimization,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes FCAN-MOPSO: An Improved Fuzzy -Based Graph Clustering Algorithm for Complex Networks With Multiobjective Particle Swarm Optimization,

Reference 62

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:26:01.473573Z digest=sha256:1357172aa0490a2808ab2882a0c77049d5c7234c8714a00330179430a06dcece

Observation 2e17f8a2-81cc-478d-baaf-096b571b9b83 · outbound

This paper cites A Robust Coevolutionary Neural -Based Optimization Algorithm for Constrained Nonconvex Optimization,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes A Robust Coevolutionary Neural -Based Optimization Algorithm for Constrained Nonconvex Optimization,

Reference 63

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source=pdf_text observed=2026-08-10T23:26:01.478756Z digest=sha256:d21db185d1b50fbe7070c4092db0c1ecf2094d408b8171c8d4495f50e82bc383

Observation afa95089-daf4-4a7e-a845-da531a3f676a · outbound

This paper cites An Asynchronously Alternative Stochastic Gradient Descent Algorithm for Efficiently Parallel Latent Feature Analysis on Sh ared- Memory,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes An Asynchronously Alternative Stochastic Gradient Descent Algorithm for Efficiently Parallel Latent Feature Analysis on Sh ared- Memory,

Reference 64

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source=pdf_text observed=2026-08-10T23:26:01.484772Z digest=sha256:9b45f3f649a4a90fa61f85646309471c5de874ea1463ba7eef836cd1d0c83b92

Observation 4c724664-c975-43b7-803f-ebc0d5f149c3 · outbound

This paper cites Monarch butterfly optimization: A comprehensive review,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Monarch butterfly optimization: A comprehensive review,

Reference 65

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:26:01.490145Z digest=sha256:968eec7a7e51d4c768f737429e24c09e969d318acf4a52e9ce277c762b7742e0

Observation 43fb667a-0785-4a19-8391-e0f2087c4518 · outbound

This paper cites Harris hawks optimization: Algorithm and applica tions,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Harris hawks optimization: Algorithm and applica tions,

Reference 66

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source=pdf_text observed=2026-08-10T23:26:01.497292Z digest=sha256:75bc3dd6171e6776e3511a82d969ee9bec4b504889f15ec2592acc2b44731c2a

Observation 3823a97b-b4dc-4b35-a5de-489b68fd9d1b · outbound

This paper cites Advances in sine cosine algorithm: a comprehensive survey,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Advances in sine cosine algorithm: a comprehensive survey,

Reference 67

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verified fuzzy
raw_fallback, observed 2026-08-10T23:26:06.520739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T23:26:01.502879Z digest=sha256:113f7843e9441f614fc9165186c8e42675f326fc2327d423214c84ed47683d37

Observation 7167f00b-46d9-424b-bda9-44cd98744075 · outbound

This paper cites The Arithmetic Optimization Algorithm,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes The Arithmetic Optimization Algorithm,

Reference 68

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source=pdf_text observed=2026-08-10T23:26:01.507912Z digest=sha256:e9947abf730fd733b380857e0b389b832961e879b758be516e82a47397305315

Observation a0d3272b-098d-4773-b216-c5485308d113 · outbound

This paper cites Accurate Latent Factor Analysis via Particle Swarm Optimizers,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Accurate Latent Factor Analysis via Particle Swarm Optimizers,

Reference 69

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source=pdf_text observed=2026-08-10T23:26:01.513414Z digest=sha256:edcc249503be57932ad2df8997968d37590f28cfad2bc20eced2c11ec271efaf

Observation af1afc14-d6cd-443a-849d-eb6964f5e995 · outbound

This paper cites Hierarchical Particle Swarm Optimization -incorporated Latent Factor Analysis for Large -Scale Incomplete Matrices,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Hierarchical Particle Swarm Optimization -incorporated Latent Factor Analysis for Large -Scale Incomplete Matrices,

Reference 70

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source=pdf_text observed=2026-08-10T23:26:01.518603Z digest=sha256:ae4208651885456e50094ae85aec83c691d216b2d69e0c0cfc5e6b3f744c40d5

Observation 349dc89c-603f-44d8-9734-54205bdec0f9 · outbound

This paper cites An Adaptive Latent Factor Model via Particle Swarm Optimization for High -Dimensional and Sparse Matrices,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes An Adaptive Latent Factor Model via Particle Swarm Optimization for High -Dimensional and Sparse Matrices,

Reference 71

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source=pdf_text observed=2026-08-10T23:26:01.523433Z digest=sha256:a70c1d7db6175976d0e7dd39c2f00c1bc8f5514285fb7189f116648c8a9a8211

Observation 482560ed-e92a-4213-a216-b809c670163e · outbound

This paper cites Fast Matrix Factorization With Nonuniform Weights on Missing Data,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Fast Matrix Factorization With Nonuniform Weights on Missing Data,

Reference 72

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:26:01.528653Z digest=sha256:7f67d9937a39d470e0649aaba4a7bb110af28833057c2e7931dd5597289e43cf

Observation a5a01cfd-2779-4ada-b014-45054d275d89 · outbound

This paper cites Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning,

Reference 73

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no resolver link, observed 2026-08-10T23:26:01.534279Z

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Observation ee1fb958-ec66-4880-99f4-00da8c21b2d9 · outbound

This paper cites MMA: Multi-Metric-Autoencoder for Analyzing High -Dimensional and Incomplete Data,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes MMA: Multi-Metric-Autoencoder for Analyzing High -Dimensional and Incomplete Data,

Reference 74

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Observation ac59da64-6699-4dfc-8c3c-0a622b04a994 · outbound

This paper cites Asynchronous Parallel Fuzzy Stochastic Gradient Descent for High -Dimensional Incomplete Data Representation,.

Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes Asynchronous Parallel Fuzzy Stochastic Gradient Descent for High -Dimensional Incomplete Data Representation,

Reference 75

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Pith citing papers

Observation db830f94-f9ab-4fb8-8a9d-0532743ab85f · inbound

DishSeg24k: A Large-Scale Benchmark for Food Segmentation with Stochastic Expert Decoding cites this paper.

DishSeg24k: A Large-Scale Benchmark for Food Segmentation with Stochastic Expert Decoding Differential Evolution Integrated Hybrid Deep Learning Model for Object Detection in Pre-made Dishes

Reference 23

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