1d-cnn Search Results


90
SoftMax Inc 1d-cnn with residual connections
Summary of related works done using 2D-CNNs.
1d Cnn With Residual Connections, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/1d-cnn/1d+cnn/pmc08199071-198-3-10
Average 90 stars, based on 1 article reviews
1d-cnn with residual connections - by Bioz Stars, 2026-09
90/100 stars
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90
SoftMax Inc 2d-cnn with 1d-cnn
Summary of related works done using 2D-CNNs.
2d Cnn With 1d Cnn, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/1d-cnn/2d+cnn+with+1d+cnn/pmc08199071-167-5-9
Average 90 stars, based on 1 article reviews
2d-cnn with 1d-cnn - by Bioz Stars, 2026-09
90/100 stars
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90
ActiGraph llc 1d cnn models for mash actigraph + actiwatch
Number of days in the sample, <t> MASH </t> model used, and sleep–wake interval size
1d Cnn Models For Mash Actigraph + Actiwatch, supplied by ActiGraph llc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/1d-cnn/1d+cnn+models+for+mash+actigraph+++actiwatch/pmc10492590-136-9-10
Average 90 stars, based on 1 article reviews
1d cnn models for mash actigraph + actiwatch - by Bioz Stars, 2026-09
90/100 stars
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90
SoftMax Inc p-1d-cnn
Number of days in the sample, <t> MASH </t> model used, and sleep–wake interval size
P 1d Cnn, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/1d-cnn/p+1d+cnn/pmc08199071-190-3-7
Average 90 stars, based on 1 article reviews
p-1d-cnn - by Bioz Stars, 2026-09
90/100 stars
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90
ActiGraph llc 1d cnn
Number of days in the sample, <t> MASH </t> model used, and sleep–wake interval size
1d Cnn, supplied by ActiGraph llc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/1d-cnn/1d+cnn/pm40588165-146-16-18
Average 90 stars, based on 1 article reviews
1d cnn - by Bioz Stars, 2026-09
90/100 stars
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90
IEEE Access hybrid 1d cnn and blstm network
Number of days in the sample, <t> MASH </t> model used, and sleep–wake interval size
Hybrid 1d Cnn And Blstm Network, supplied by IEEE Access, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/1d-cnn/hybrid+1d+cnn+and+blstm+network/10__17341_slash_gazimmfd__1333162-431-16-18
Average 90 stars, based on 1 article reviews
hybrid 1d cnn and blstm network - by Bioz Stars, 2026-09
90/100 stars
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90
StatLog Inc 1d-cnn model
Number of days in the sample, <t> MASH </t> model used, and sleep–wake interval size
1d Cnn Model, supplied by StatLog Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/1d-cnn/1d+cnn+model/pm36552906-401-8-27
Average 90 stars, based on 1 article reviews
1d-cnn model - by Bioz Stars, 2026-09
90/100 stars
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90
StatLog Inc 1d-cnn and bi-lstm models
Number of days in the sample, <t> MASH </t> model used, and sleep–wake interval size
1d Cnn And Bi Lstm Models, supplied by StatLog Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/1d-cnn/1d+cnn+and+bi+lstm+models/pm36552906-479-0-50
Average 90 stars, based on 1 article reviews
1d-cnn and bi-lstm models - by Bioz Stars, 2026-09
90/100 stars
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90
BioSignal Group 1d cnn model architecture
The <t>1D</t> <t>CNN</t> architecture for the pretext task.
1d Cnn Model Architecture, supplied by BioSignal Group, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/1d-cnn/1d+cnn+model+architecture/pmc11540419-63-4-16
Average 90 stars, based on 1 article reviews
1d cnn model architecture - by Bioz Stars, 2026-09
90/100 stars
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90
SoftMax Inc 1d cnn layers
The <t>1D</t> <t>CNN</t> architecture for the pretext task.
1d Cnn Layers, supplied by SoftMax Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/1d-cnn/1d+cnn+layers/10__1007_slash_s10618___024___01049___4-195-61-55
Average 90 stars, based on 1 article reviews
1d cnn layers - by Bioz Stars, 2026-09
90/100 stars
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86
Photonics Inc 878 cnn lstm phase compensation
The <t>1D</t> <t>CNN</t> architecture for the pretext task.
878 Cnn Lstm Phase Compensation, supplied by Photonics Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/1d-cnn/1d+bilstm+cnn+dropout+im+layer+layer+layer+lstm+lstm+lstm+lstm+lstm+lstm+re/pm41360980-418-22-36
Average 86 stars, based on 1 article reviews
878 cnn lstm phase compensation - by Bioz Stars, 2026-09
86/100 stars
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86
Ipca Laboratories d cnn
The <t>1D</t> <t>CNN</t> architecture for the pretext task.
D Cnn, supplied by Ipca Laboratories, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/1d-cnn/1+cnn+d/10__3390_slash_en12071280-241-10-8
Average 86 stars, based on 1 article reviews
d cnn - by Bioz Stars, 2026-09
86/100 stars
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Image Search Results


Summary of related works done using 2D-CNNs.

Journal: International Journal of Environmental Research and Public Health

Article Title: Epileptic Seizures Detection Using Deep Learning Techniques: A Review

doi: 10.3390/ijerph18115780

Figure Lengend Snippet: Summary of related works done using 2D-CNNs.

Article Snippet: [ ] , 1D-CNN with residual connections , 17 , Softmax , 99.00.

Techniques:

Summary of related works done using 2D-CNNs.

Journal: International Journal of Environmental Research and Public Health

Article Title: Epileptic Seizures Detection Using Deep Learning Techniques: A Review

doi: 10.3390/ijerph18115780

Figure Lengend Snippet: Summary of related works done using 2D-CNNs.

Article Snippet: [ ] , 2D-CNN with 1D-CNN , 12 , Softmax , NA.

Techniques:

Number of days in the sample,  MASH  model used, and sleep–wake interval size

Journal: Journal of activity, sedentary and sleep behaviors

Article Title: Method for Activity Sleep Harmonization (MASH): a novel method for harmonizing data from two wearable devices to estimate 24-h sleep–wake cycles

doi: 10.1186/s44167-023-00017-5

Figure Lengend Snippet: Number of days in the sample, MASH model used, and sleep–wake interval size

Article Snippet: The AUC-ROC for both 1D CNN models developed for MASH (ActiGraph + Actiwatch or ActiGraph-only) were considered excellent ( ) with values of 0.991 and 0.983 for the ActiGraph + Actiwatch and ActiGraph-only models, respectively.

Techniques:

The 1D CNN architecture for the pretext task.

Journal: Applied sciences (Basel, Switzerland)

Article Title: Individualized Stress Mobile Sensing Using Self-Supervised Pre-Training

doi: 10.3390/app132112035

Figure Lengend Snippet: The 1D CNN architecture for the pretext task.

Article Snippet: They demonstrated that the 1D CNN model architecture can be successfully applied towards making predictions from biosignal data without manual feature engineering and feature selection [ ].

Techniques:

The 1D CNN architecture for fine-tuning the pre-trained network towards the downstream stress-prediction task.

Journal: Applied sciences (Basel, Switzerland)

Article Title: Individualized Stress Mobile Sensing Using Self-Supervised Pre-Training

doi: 10.3390/app132112035

Figure Lengend Snippet: The 1D CNN architecture for fine-tuning the pre-trained network towards the downstream stress-prediction task.

Article Snippet: They demonstrated that the 1D CNN model architecture can be successfully applied towards making predictions from biosignal data without manual feature engineering and feature selection [ ].

Techniques: