Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism | Paper Citation Record

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This paper cites Global burden of chronic respiratory diseases and risk factors, 1990–2019: an update from the global burden of disease study 2019,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Global burden of chronic respiratory diseases and risk factors, 1990–2019: an update from the global burden of disease study 2019,

Reference 1

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Observation 8d49dad9-f963-412e-8f0a-2c4d92d6e2ba · outbound

This paper cites Respiratory sounds: advances beyond the stetho- scope,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Respiratory sounds: advances beyond the stetho- scope,

Reference 2

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Observation f6e2b36f-d260-4bd2-99e8-9af2c7683526 · outbound

This paper cites Auscultation of the respiratory system,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Auscultation of the respiratory system,

Reference 3

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This paper cites an unresolved cited work.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Unresolved cited work

Reference 4

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This paper cites Machine learning for automated classi- fication of abnormal lung sounds obtained from public databases: A systematic review,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Machine learning for automated classi- fication of abnormal lung sounds obtained from public databases: A systematic review,

Reference 5

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This paper cites Lung disease recognition methods using audio-based analysis with machine learning,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Lung disease recognition methods using audio-based analysis with machine learning,

Reference 6

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This paper cites Short term spectral analysis, synthesis, and modification by discrete fourier transform,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Short term spectral analysis, synthesis, and modification by discrete fourier transform,

Reference 7

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Observation 2c4fe599-e9f7-499b-8bea-f2fa5ffebcaf · outbound

This paper cites Pretraining respiratory sound representations using metadata and contrastive learning.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Pretraining respiratory sound representations using metadata and contrastive learning

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.616126Z

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Observation bc0cad84-aed5-48dd-807a-5ece8e59b571 · outbound

This paper cites Lung sound classification using co-tuning and stochastic normalization,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Lung sound classification using co-tuning and stochastic normalization,

Reference 9

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Observation a2ec966d-da41-49c9-8e0d-0a04ab0345e4 · outbound

This paper cites Explainable cnn with fuzzy tree regularization for respi- ratory sound analysis,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Explainable cnn with fuzzy tree regularization for respi- ratory sound analysis,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.604509Z

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This paper cites Deep learning for audio signal processing,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Deep learning for audio signal processing,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.598838Z

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This paper cites Classify respiratory abnormality in lung sounds using stft a fine-tuned resnet18 network,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Classify respiratory abnormality in lung sounds using stft a fine-tuned resnet18 network,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.593362Z

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This paper cites Deep learning,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Deep learning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.587781Z

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This paper cites A Tutorial on Deep Learning for Music Information Retrieval.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism A Tutorial on Deep Learning for Music Information Retrieval

Reference 14

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This paper cites Normal versus adventitious respiratory sounds,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Normal versus adventitious respiratory sounds,

Reference 15

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This paper cites Classification of adventitious sounds combining cochleogram and vision transformers,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Classification of adventitious sounds combining cochleogram and vision transformers,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.576584Z

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Observation 0120f434-cbd0-470a-b988-8fec66d749fe · outbound

This paper cites Patch-mix contrastive learning with audio spectrogram transformer on respiratory sound classification.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Patch-mix contrastive learning with audio spectrogram transformer on respiratory sound classification

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.571061Z

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Observation fc02d840-8523-4139-9983-d361f1384e4e · outbound

This paper cites Multi-view spectrogram transformer for respiratory sound classification,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Multi-view spectrogram transformer for respiratory sound classification,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.565514Z

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Observation fddbc417-5a8f-4655-bdaf-fc101dd665d7 · outbound

This paper cites Ast: Audio spectrogram transformer,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Ast: Audio spectrogram transformer,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.560006Z

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Observation 834e17e1-4ca8-4888-9912-fc935338d42b · outbound

This paper cites Transformers in vision: A survey,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Transformers in vision: A survey,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.554494Z

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This paper cites Computerized lung sound screening for pediatric auscultation in noisy field environments,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Computerized lung sound screening for pediatric auscultation in noisy field environments,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.548029Z

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Observation cb9a158a-d8ae-4090-bddd-abcceb9105ef · outbound

This paper cites Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Respiratory sound classification for crackles, wheezes, and rhonchi in the clinical field using deep learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.541971Z

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Observation 0b2c08ec-5d3b-4fc9-8651-d9752d4213c8 · outbound

This paper cites Noise masking recurrent neural network for respiratory sound classification,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Noise masking recurrent neural network for respiratory sound classification,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.536273Z

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This paper cites Survey on explainable ai: From approaches to lim- itations and applications aspects,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Survey on explainable ai: From approaches to lim- itations and applications aspects,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.530493Z

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This paper cites Measuring feature importance of convolutional neural networks,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Measuring feature importance of convolutional neural networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.524569Z

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Observation a2dfee4f-862f-4b00-bc83-3375ef65baab · outbound

This paper cites Feature selection: A perspective on inter- attribute cooperation,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Feature selection: A perspective on inter- attribute cooperation,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.518817Z

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Observation 86650ef6-27e7-45b0-bf9c-85cdd4b6d582 · outbound

This paper cites The relationship between normal lung sounds, age, and gender,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism The relationship between normal lung sounds, age, and gender,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.513067Z

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Observation c152aed3-2a48-4cb2-84ae-e16c4ec2819f · outbound

This paper cites An open access database for the evaluation of respiratory sound classification algorithms,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism An open access database for the evaluation of respiratory sound classification algorithms,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.507004Z

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Observation c3215cc8-f81c-4c24-88b5-256ecc4fe5f6 · outbound

This paper cites Sprsound: Open-source sjtu paediatric respiratory sound database,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Sprsound: Open-source sjtu paediatric respiratory sound database,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.501432Z

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Observation ece970b4-32d9-42c4-b1e2-d3689031c72b · outbound

This paper cites Grand challenge on respiratory sound classification for sprsound dataset,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Grand challenge on respiratory sound classification for sprsound dataset,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.495422Z

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Observation 692ab41c-c8b2-48e0-a369-8575f59d3f74 · outbound

This paper cites Respirenet: A deep neural network for accurately detecting abnormal lung sounds in limited data setting,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Respirenet: A deep neural network for accurately detecting abnormal lung sounds in limited data setting,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.488274Z

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Observation 09a4b4b3-4d65-4581-a99a-d8cd310e2ea1 · outbound

This paper cites Multiclass categorisation of respiratory sound signals using neural network,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Multiclass categorisation of respiratory sound signals using neural network,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.483075Z

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Observation 234da8ba-5264-4c62-a514-58c96e5568ec · outbound

This paper cites Cnn-moe based framework for classification of respira- tory anomalies and lung disease detection,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Cnn-moe based framework for classification of respira- tory anomalies and lung disease detection,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.477740Z

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This paper cites Pediatric respiratory sound classification using a dual input deep learning architecture,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Pediatric respiratory sound classification using a dual input deep learning architecture,

Reference 34

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This paper cites Trespnet: A dual-route exploratory cnn model for pediatric adventitious respiratory sound identification,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Trespnet: A dual-route exploratory cnn model for pediatric adventitious respiratory sound identification,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.467042Z

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Observation 90f0df8d-cf3f-4d77-a733-c203515b8adb · outbound

This paper cites Adventitious respiratory classification using attentive residual neural networks,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Adventitious respiratory classification using attentive residual neural networks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.460954Z

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Observation 8bf8ba3e-e13a-447d-944b-41253e8738e4 · outbound

This paper cites Interpretation of lung disease classification with light attention connected module,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Interpretation of lung disease classification with light attention connected module,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.453640Z

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Observation 206aa889-45a5-4aa1-a4d6-7fa950dfae1a · outbound

This paper cites A deep learning architecture with spatio-temporal focusing for detecting respiratory anomalies,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism A deep learning architecture with spatio-temporal focusing for detecting respiratory anomalies,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.447244Z

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Observation ea4240c2-d2fb-486c-a5e1-7dcec834dfe7 · outbound

This paper cites Masked modeling duo: Towards a universal audio pre-training framework,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Masked modeling duo: Towards a universal audio pre-training framework,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.441343Z

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Observation 3a8500f6-3f0b-4d33-84f2-3e41febaf849 · outbound

This paper cites Bts: Bridging text and sound modalities for metadata- aided respiratory sound classification,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Bts: Bridging text and sound modalities for metadata- aided respiratory sound classification,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.436024Z

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Observation 29dfefd2-01e3-4cbb-b208-0742a08a73dc · outbound

This paper cites Classifying imbalanced data: The relevance of accuracy and feature importance,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Classifying imbalanced data: The relevance of accuracy and feature importance,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.430013Z

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Observation 9dc8b7de-6a52-4469-86a0-d5bb407488d4 · outbound

This paper cites Selecting critical features for data classification based on machine learning methods,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Selecting critical features for data classification based on machine learning methods,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.424820Z

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Observation f0b08ba3-0c43-4748-8020-c45cf4826a59 · outbound

This paper cites A meticulous presaging of heart disease optimized by boruta feature selection and rfe over gradient boosting,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism A meticulous presaging of heart disease optimized by boruta feature selection and rfe over gradient boosting,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.419605Z

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Observation db95d9c2-fdc6-48d0-af23-b23b804c420a · outbound

This paper cites Traditional machine learning algorithms for breast cancer image classification with optimized deep features,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Traditional machine learning algorithms for breast cancer image classification with optimized deep features,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.414098Z

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Observation 4709feef-2f56-4d2b-833a-731c5b0ce49d · outbound

This paper cites Fusion of statistical importance for feature selection in deep neural network-based intrusion detection system,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Fusion of statistical importance for feature selection in deep neural network-based intrusion detection system,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.408412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9edaca5e-86ce-4d53-90c9-9a0108b3cd84 · outbound

This paper cites Comparison of parametric representations for mono- syllabic word recognition in continuously spoken sentences,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Comparison of parametric representations for mono- syllabic word recognition in continuously spoken sentences,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.403343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3ba836a1-32e2-4146-ac66-be40ec78266e · outbound

This paper cites Panns: Large-scale pretrained audio neural networks for audio pattern recognition,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Panns: Large-scale pretrained audio neural networks for audio pattern recognition,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.397155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a9e4d7b-74d5-41e0-8002-707c3f780d1f · outbound

This paper cites Crackles: recording, analysis and clinical significance,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Crackles: recording, analysis and clinical significance,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.391386Z

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Observation 87f0cbb0-b91f-49fa-bbe1-9534826c415a · outbound

This paper cites Attention is all you need,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Attention is all you need,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.385497Z

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Observation 4e40ad25-11fb-45a5-8bc4-bd5a5b60e624 · outbound

This paper cites Network In Network.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Network In Network

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T13:56:42.255654Z

Source-reported events for the cited work

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Observation b5d833f8-947f-4eb4-bbd3-c1a526480ea4 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Grad-cam: Visual explanations from deep networks via gradient-based localization,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.380256Z

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Observation af1ea1f6-8b17-46f0-8618-1ca7e1714bf0 · outbound

This paper cites Axiomatic attribution for deep networks,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Axiomatic attribution for deep networks,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.374812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e5aafb6c-6a75-477e-89dc-f1ef7fca8307 · outbound

This paper cites Grand challenge on respiratory sound classification for sprsound dataset,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Grand challenge on respiratory sound classification for sprsound dataset,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.369105Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d20a19fe-f1e0-4105-850b-54c10848eba4 · outbound

This paper cites Contrastive embedding learning method for respiratory sound classification,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Contrastive embedding learning method for respiratory sound classification,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.363491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 635c2b57-0bdc-4083-b0d6-16d234bc9178 · outbound

This paper cites Detection of patients considering observation frequency of continuous and discontinuous adventitious sounds in lung sounds,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Detection of patients considering observation frequency of continuous and discontinuous adventitious sounds in lung sounds,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.357125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f4a194aa-7edf-4f25-923f-61cd2fab95e7 · outbound

This paper cites Arsc-net: Adventitious respiratory sound classification network using parallel paths with channel-spatial attention,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Arsc-net: Adventitious respiratory sound classification network using parallel paths with channel-spatial attention,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.351233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b94585fc-77d0-4c31-97fc-7b57c02e8a7c · outbound

This paper cites Hidden markov model based respiratory sound classification,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Hidden markov model based respiratory sound classification,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.345296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4489e2fe-9085-4700-96a0-77786bd3fd5c · outbound

This paper cites Specaugment: A simple data augmentation method for automatic speech recognition,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Specaugment: A simple data augmentation method for automatic speech recognition,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.338433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 11da8d45-5cdc-4fc1-8d36-4ccf3da8ace5 · outbound

This paper cites The real-world-weight cross-entropy loss function: Mod- eling the costs of mislabeling,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism The real-world-weight cross-entropy loss function: Mod- eling the costs of mislabeling,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.331573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 05d221fa-d1b6-42f6-a558-8a7862517399 · outbound

This paper cites Lungattn: advanced lung sound classification using attention mechanism with dual tqwt and triple stft spectrogram,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Lungattn: advanced lung sound classification using attention mechanism with dual tqwt and triple stft spectrogram,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.325286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3e18baa6-ee18-4ecf-9d46-f5f2c6a9c5de · outbound

This paper cites Prototype learning for interpretable respiratory sound analysis,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Prototype learning for interpretable respiratory sound analysis,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.318868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f2880661-b7f8-4f26-986a-c8991b0dc0fe · outbound

This paper cites Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Example-based Explanations with Adversarial Attacks for Respiratory Sound Analysis,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.312810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3efc2d9f-6cfb-4911-a561-fbfb7bbd66df · outbound

This paper cites A domain transfer based data augmentation method for automated respiratory classification,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism A domain transfer based data augmentation method for automated respiratory classification,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.306920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c2ca2c76-21eb-4d0e-99ed-bf4ecf800228 · outbound

This paper cites An ensemble of deep learning frameworks for predicting respiratory anomalies,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism An ensemble of deep learning frameworks for predicting respiratory anomalies,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.299888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7fa29d0b-acdf-4b19-9deb-a5fe3c29c81b · outbound

This paper cites Stethoscope-guided supervised contrastive learning for cross-domain adaptation on respiratory sound classification,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Stethoscope-guided supervised contrastive learning for cross-domain adaptation on respiratory sound classification,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.292607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6003e51b-2fab-46a3-9eb4-fb37f1b4df85 · outbound

This paper cites An effective lung sound classification system for respiratory disease diagnosis using densenet cnn model with sound pre- processing engine,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism An effective lung sound classification system for respiratory disease diagnosis using densenet cnn model with sound pre- processing engine,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.285426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation abbfa0c9-f0e3-4d1e-8e57-af05a59f7b11 · outbound

This paper cites Improving the resnet-based respiratory sound classification systems with focal loss,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Improving the resnet-based respiratory sound classification systems with focal loss,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.278899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 018b4940-0157-4029-971f-c02396ee19c6 · outbound

This paper cites A feature polymerized based two-level ensemble model for respiratory sound classification,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism A feature polymerized based two-level ensemble model for respiratory sound classification,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.272045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7dcdc6b2-7243-440f-9457-52bee32a9c15 · outbound

This paper cites Supervised contrastive pretrained resnet with mixup to enhance respiratory sound classification on imbalanced and limited dataset,.

Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism Supervised contrastive pretrained resnet with mixup to enhance respiratory sound classification on imbalanced and limited dataset,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:56:43.264997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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