Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis | Paper Citation Record

Observation 59f7ed95-2173-4124-a83f-24f1c5addc7e · outbound

This paper cites Knowledge- based fault diagnosis in industrial internet of things: A survey,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Knowledge- based fault diagnosis in industrial internet of things: A survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:16.936852Z

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Observation 67860d92-77d4-4839-b686-dd876f1015c6 · outbound

This paper cites Fault diagnosis of rotating machinery based on 1d–2d joint convolution neural network,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Fault diagnosis of rotating machinery based on 1d–2d joint convolution neural network,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:16.838945Z

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Observation ed95a5fd-57d2-413d-b2c6-c63c22244cef · outbound

This paper cites Self-training reinforced adversarial adaptation for machine fault diagnosis,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Self-training reinforced adversarial adaptation for machine fault diagnosis,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:16.692111Z

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Observation eb60aa0b-636b-451c-bd49-be2fe6c37c92 · outbound

This paper cites Adaptive fault components extraction by using an optimized weights spectrum based index for machinery fault diagnosis,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Adaptive fault components extraction by using an optimized weights spectrum based index for machinery fault diagnosis,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:16.507507Z

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Observation 10e90aac-7b47-4380-815d-16bea03cea54 · outbound

This paper cites A novel generative adver- sarial networks via music theory knowledge for early fault intelligent diagnosis of motor bearings,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis A novel generative adver- sarial networks via music theory knowledge for early fault intelligent diagnosis of motor bearings,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:16.388170Z

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Observation 4505cd71-dfa5-4ae7-b777-7307e4ac7376 · outbound

This paper cites Label recovery and trajectory designable network for transfer fault diagnosis of machines with incorrect annotation,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Label recovery and trajectory designable network for transfer fault diagnosis of machines with incorrect annotation,

Reference 6

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Observation 36e86ba5-ee62-49e9-a1b2-32cf80eeaafb · outbound

This paper cites Uncertainty-aware deep learning: A promising tool for trustworthy fault diagnosis,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Uncertainty-aware deep learning: A promising tool for trustworthy fault diagnosis,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:16.145584Z

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Observation d6149cfd-a282-42f6-b527-affcd42b725a · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Communication-efficient learning of deep networks from decentralized data,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.968411Z

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Observation 98488d49-b35f-4b9b-ab02-f00571df6e02 · outbound

This paper cites Intelligent fault diagnosis of rolling bearings with low-quality data: A feature significance and diversity learning method,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Intelligent fault diagnosis of rolling bearings with low-quality data: A feature significance and diversity learning method,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.857806Z

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Observation c5f68aae-cf77-44c3-877e-34f2eb0d4fe1 · outbound

This paper cites Federated learning in intelligent transportation systems: Recent applications and open problems,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Federated learning in intelligent transportation systems: Recent applications and open problems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.756179Z

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Observation 0b2dc5dc-9b4b-47e5-86fb-bf67e2544c68 · outbound

This paper cites An effective federated learning verification strategy and its applications for fault diagnosis in industrial iot systems,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis An effective federated learning verification strategy and its applications for fault diagnosis in industrial iot systems,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.616576Z

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Observation e5bd414f-8dea-41f0-b06a-3b75ff463cff · outbound

This paper cites Bearing fault diagnosis based on improved federated learning algorithm,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Bearing fault diagnosis based on improved federated learning algorithm,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.552396Z

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Observation 1a1f8a19-7303-4d1d-aa69-d822a787d917 · outbound

This paper cites Blockchain assisted decentralized federated learning (BLADE- FL): performance analysis and resource allocation,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Blockchain assisted decentralized federated learning (BLADE- FL): performance analysis and resource allocation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.522220Z

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Observation 61868f10-8d76-4c0c-bd82-5087984b72b5 · outbound

This paper cites Lightweight fl: A low- cost federated learning framework for mechanical fault diagnosis with training optimization and model pruning,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Lightweight fl: A low- cost federated learning framework for mechanical fault diagnosis with training optimization and model pruning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.405825Z

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Observation d66b9d02-6e14-4662-9e49-4804d8ac31ff · outbound

This paper cites Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:10:16.262070Z

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Observation 7c693c43-70a3-461b-bba7-ba66391de681 · outbound

This paper cites Fedalign: Federated model alignment via data-free knowledge distillation for machine fault diagnosis,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Fedalign: Federated model alignment via data-free knowledge distillation for machine fault diagnosis,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.321501Z

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Observation e0ff2f72-217c-458e-81cd-f262a0adac81 · outbound

This paper cites Adaptive privacy-preserving federated learning for fault diagnosis in internet of ships,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Adaptive privacy-preserving federated learning for fault diagnosis in internet of ships,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.234499Z

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Observation d662e8b8-cd2c-4559-905c-514953acb137 · outbound

This paper cites Fedcae: A new federated learning framework for edge-cloud collaboration based machine fault diagnosis,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Fedcae: A new federated learning framework for edge-cloud collaboration based machine fault diagnosis,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.101913Z

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Observation e58576ec-ab18-45d2-9b8f-a08f78b716f4 · outbound

This paper cites Domain adversarial transfer network for cross-domain fault diagnosis of rotary machinery,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Domain adversarial transfer network for cross-domain fault diagnosis of rotary machinery,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:15.005862Z

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Observation b4141219-bc3d-4341-875f-fee753d7e39d · outbound

This paper cites Federated generalized zero-sample industrial fault diagnosis across multisource domains,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Federated generalized zero-sample industrial fault diagnosis across multisource domains,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:14.893644Z

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Observation 39b0d21c-0765-40f2-80cf-9e24aef24ca8 · outbound

This paper cites Intelligent fault diagnosis via ring-based decentralized federated transfer learning,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Intelligent fault diagnosis via ring-based decentralized federated transfer learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:14.824324Z

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Observation a61d4a0a-1c48-420d-8ad8-5bfbe9cfd4a5 · outbound

This paper cites Industrial edge intelligence: Federated-meta learning framework for few-shot fault diagnosis,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Industrial edge intelligence: Federated-meta learning framework for few-shot fault diagnosis,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:14.715460Z

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Observation 74c96f17-38d9-4821-b71e-66f1f685b367 · outbound

This paper cites In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection frame- work for semi-supervised learning,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis In defense of pseudo-labeling: An uncertainty-aware pseudo-label selection frame- work for semi-supervised learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:14.595481Z

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Observation 9de35df4-8033-4ccb-bfcd-702f24996522 · outbound

This paper cites Regularization with stochastic transformations and perturbations for deep semi-supervised learning,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Regularization with stochastic transformations and perturbations for deep semi-supervised learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:14.497196Z

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Observation 0a5fe572-d936-496a-9c9b-63d2f09c2e0c · outbound

This paper cites Semisupervised momentum prototype network for gearbox fault diagnosis under limited 13 labeled samples,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Semisupervised momentum prototype network for gearbox fault diagnosis under limited 13 labeled samples,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:14.363567Z

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Observation d01e5d7b-3dbd-4f5a-84fb-b198a279f7c9 · outbound

This paper cites Online fault diagnosis of harmonic drives using semisupervised contrastive graph generative network via multimodal data,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Online fault diagnosis of harmonic drives using semisupervised contrastive graph generative network via multimodal data,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:14.240708Z

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Observation f10192bd-02f8-4c7c-be4a-6dde038e7161 · outbound

This paper cites Semisupervised fault diagnosis of gearbox using weighted graph-based label propagation and virtual adversarial training,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Semisupervised fault diagnosis of gearbox using weighted graph-based label propagation and virtual adversarial training,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:19.875169Z

Source-reported events for the cited work

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Observation 661cb2c0-6aa2-4d5d-b693-3a2c4b360851 · outbound

This paper cites Meta-self-training based on teacher–student network for industrial label-noise fault diagnosis,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Meta-self-training based on teacher–student network for industrial label-noise fault diagnosis,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:19.697290Z

Source-reported events for the cited work

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Observation 5f1343bd-7aff-4704-947c-1ef5d504afbe · outbound

This paper cites Online fault diagnosis of harmonic drives using semisupervised contrastive graph generative network via multimodal data,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Online fault diagnosis of harmonic drives using semisupervised contrastive graph generative network via multimodal data,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:19.553298Z

Source-reported events for the cited work

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Observation 43dbd8c1-a9ac-4410-9c76-07979a1baf9f · outbound

This paper cites Fixmatch: Simplifying semi- supervised learning with consistency and confidence,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Fixmatch: Simplifying semi- supervised learning with consistency and confidence,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:19.443471Z

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Observation 81957063-4218-4c03-867e-a99693783b0c · outbound

This paper cites Federated optimization in heterogeneous networks,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Federated optimization in heterogeneous networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:19.311458Z

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Observation b491df6c-13e1-4440-be90-203d25465e98 · outbound

This paper cites FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis FedCon: A Contrastive Framework for Federated Semi-Supervised Learning

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:10:16.116672Z

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Observation d21cdae4-0db4-4038-99d1-a3d4e5088ab5 · outbound

This paper cites Fedcd: Federated semi-supervised learning with class awareness balance via dual teachers,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Fedcd: Federated semi-supervised learning with class awareness balance via dual teachers,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:19.162560Z

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Observation 806602ec-44ca-42e4-9f11-92e17a646448 · outbound

This paper cites Rscfed: Random sampling consensus federated semi-supervised learning,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Rscfed: Random sampling consensus federated semi-supervised learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:19.091211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c6c2f788-b508-4a67-a80d-59e1f61845e8 · outbound

This paper cites Estimating before debiasing: A bayesian approach to detaching prior bias in federated semi-supervised learning,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Estimating before debiasing: A bayesian approach to detaching prior bias in federated semi-supervised learning,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:18.949912Z

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Observation 4592ef32-c659-4043-86a7-edc82a61d90a · outbound

This paper cites (fl) 2: Overcoming few labels in federated semi-supervised learning,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis (fl) 2: Overcoming few labels in federated semi-supervised learning,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:18.783769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 48f52aa2-98d5-40bf-af58-50530baae7cf · outbound

This paper cites Federated transfer learning for bearing fault diagnosis with discrepancy-based weighted federated averaging,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Federated transfer learning for bearing fault diagnosis with discrepancy-based weighted federated averaging,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:11:14.928377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e3311d2c-b714-4ad4-8525-69fdc67bbb66 · outbound

This paper cites Federated distillation with lightweight generative adversarial network for servo motor bearing fault diagnosis in heterogeneous data,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Federated distillation with lightweight generative adversarial network for servo motor bearing fault diagnosis in heterogeneous data,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:18.600548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d55173cd-9d3f-4795-adac-e3de5ece10c5 · outbound

This paper cites A gradient alignment federated do- main generalization framework for rotating machinery fault diagnosis,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis A gradient alignment federated do- main generalization framework for rotating machinery fault diagnosis,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:18.409205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f67f9f27-4be0-42e0-afcf-45abfc5f006a · outbound

This paper cites Heterogeneous federated learning: Client-side collaborative update interdomain gener- alization method for intelligent fault diagnosis,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Heterogeneous federated learning: Client-side collaborative update interdomain gener- alization method for intelligent fault diagnosis,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:18.298441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b47b20d-05be-4f0b-bc4d-f5747b328386 · outbound

This paper cites Unsupervised data augmentation for consistency training,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Unsupervised data augmentation for consistency training,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:18.152386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a0f311bb-8a58-4cb3-8232-4538b84e34e8 · outbound

This paper cites A systematic survey on federated semi-supervised learning,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis A systematic survey on federated semi-supervised learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:18.022915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dfd6c322-4e85-45df-bfbf-2cd78f202185 · outbound

This paper cites Semi- supervised multiscale permutation entropy-enhanced contrastive learning for fault diagnosis of rotating machinery,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Semi- supervised multiscale permutation entropy-enhanced contrastive learning for fault diagnosis of rotating machinery,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:17.878613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c5ea44a5-3734-4ea5-a0e4-9348714422fd · outbound

This paper cites Semi- supervised contrastive domain adaptation network for fault diagnosis of rotating machinery under cross-working conditions,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Semi- supervised contrastive domain adaptation network for fault diagnosis of rotating machinery under cross-working conditions,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:17.725236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1e30d914-ae5f-4136-a92f-db9eafdccb57 · outbound

This paper cites Drsc: Dual-reweighted siamese contrastive learning network for cross-domain rotating machinery fault diagnosis with multi-source domain imbalanced data,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Drsc: Dual-reweighted siamese contrastive learning network for cross-domain rotating machinery fault diagnosis with multi-source domain imbalanced data,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:17.571157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1c0ad81c-101e-48e8-a7c7-2f0343615126 · outbound

This paper cites Open-set fault diagnosis via supervised contrastive learning with negative out- of-distribution data augmentation,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Open-set fault diagnosis via supervised contrastive learning with negative out- of-distribution data augmentation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:17.395444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ab39154d-37e4-4591-a922-ad6ad692b42c · outbound

This paper cites Class incremental fault diagnosis under limited fault data via supervised contrastive knowledge distillation,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Class incremental fault diagnosis under limited fault data via supervised contrastive knowledge distillation,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:17.251397Z

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Observation b917aca1-2b92-406b-8e9c-bc56d45a90aa · outbound

This paper cites Domain discrepancy-guided contrastive feature learning for few-shot industrial fault diagnosis under variable working conditions,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Domain discrepancy-guided contrastive feature learning for few-shot industrial fault diagnosis under variable working conditions,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:16.999513Z

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Observation eb358eb2-36ef-461d-b5d1-da2349a0c2be · outbound

This paper cites Self-supervised learning for multimodal fault diagnosis with shapley-value weighted transformers,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Self-supervised learning for multimodal fault diagnosis with shapley-value weighted transformers,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:16.872377Z

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Observation f3a6348d-e215-4137-ab6f-ea71a36b7a8a · outbound

This paper cites A contrastive learning-based fault diagnosis method for rotating machinery with limited and imbalanced labels,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis A contrastive learning-based fault diagnosis method for rotating machinery with limited and imbalanced labels,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:16.758733Z

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Observation b86177f2-c78b-4adf-89ae-46dc368169f8 · outbound

This paper cites Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Pseudo-label: The simple and efficient semi-supervised learning method for deep neural networks,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:16.571453Z

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Observation 01a13bbb-10aa-4775-a9cb-6aa295be5e4e · outbound

This paper cites Time-series representation learning via temporal and contextual con- trasting,.

Semi-Supervised Federated Learning via Dual Contrastive Learning and Soft Labeling for Intelligent Fault Diagnosis Time-series representation learning via temporal and contextual con- trasting,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:10:16.420532Z

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