cnn model Search Results


ecg signal reconstruction via doppler sensor by hybrid deep learning model with cnn and lstm  (IEEE Access)
90
IEEE Access ecg signal reconstruction via doppler sensor by hybrid deep learning model with cnn and lstm
Ecg Signal Reconstruction Via Doppler Sensor By Hybrid Deep Learning Model With Cnn And Lstm, 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/cnn+model/10__1109_slash_tnsre__2024__3432102-330-6-23?v=IEEE+Access
Average 90 stars, based on 1 article reviews
ecg signal reconstruction via doppler sensor by hybrid deep learning model with cnn and lstm - by Bioz Stars, 2026-07
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transfer learning-based cnn models  (SoftMax Inc)
90
SoftMax Inc transfer learning-based cnn models
Sorting the selected types-based activations among <t>CNN</t> <t>models</t> by applying the LIME method to the CPB data.
Transfer Learning Based Cnn Models, 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/cnn+model/pmc08410514-311-7-9?v=SoftMax+Inc
Average 90 stars, based on 1 article reviews
transfer learning-based cnn models - by Bioz Stars, 2026-07
90/100 stars
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domain fusion cnn-lstm  (IEEE Access)
90
IEEE Access domain fusion cnn-lstm
Sorting the selected types-based activations among <t>CNN</t> <t>models</t> by applying the LIME method to the CPB data.
Domain Fusion Cnn Lstm, 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/cnn+model/10__1109_slash_ACCESS__2021__3107954-396-8-19?v=IEEE+Access
Average 90 stars, based on 1 article reviews
domain fusion cnn-lstm - by Bioz Stars, 2026-07
90/100 stars
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cnns  (SVision LLC)
90
SVision LLC cnns
Sorting the selected types-based activations among <t>CNN</t> <t>models</t> by applying the LIME method to the CPB data.
Cnns, supplied by SVision 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/cnn+model/pm39987107-54-9-0?v=SVision+LLC
Average 90 stars, based on 1 article reviews
cnns - by Bioz Stars, 2026-07
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mask r-cnn models  (PopulationGenetics)
90
PopulationGenetics mask r-cnn models
Sorting the selected types-based activations among <t>CNN</t> <t>models</t> by applying the LIME method to the CPB data.
Mask R Cnn Models, supplied by PopulationGenetics, 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/cnn+model/pmc08379755__13007_2021_787_MOESM1_ESM-1-73-34?v=PopulationGenetics
Average 90 stars, based on 1 article reviews
mask r-cnn models - by Bioz Stars, 2026-07
90/100 stars
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model basic cnn  (Epigenomics ag)
90
Epigenomics ag model basic cnn
Sorting the selected types-based activations among <t>CNN</t> <t>models</t> by applying the LIME method to the CPB data.
Model Basic Cnn, supplied by Epigenomics ag, 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/cnn+model/pmc07016741__genes___11___00041___s001-9-1-0?v=Epigenomics+ag
Average 90 stars, based on 1 article reviews
model basic cnn - by Bioz Stars, 2026-07
90/100 stars
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cnn model  (Vironova Inc)
90
Vironova Inc cnn model
Development process for implementation of TEM workflow. After an initial set-up consisting of the system installation and personnel training, the preparation method is optimized by testing different stains, supports and preparation conditions. The prepared specimens are then imaged using <t>an</t> <t>automated</t> data acquisition to screen several grid areas and ensure a good representativity of the sample. Finally, the acquired images are fed into the <t>CNN</t> algorithm, trained via manual image annotation prior to the automated analysis, the resulting detection can be visually evaluated, and the data used for specimen evaluation. This whole process can be implemented into a validation framework.
Cnn Model, supplied by Vironova 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/cnn+model/pmc09732438-101-8-15?v=Vironova+Inc
Average 90 stars, based on 1 article reviews
cnn model - by Bioz Stars, 2026-07
90/100 stars
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bayesian cnn-lstm model  (Coursera Inc)
90
Coursera Inc bayesian cnn-lstm model
Development process for implementation of TEM workflow. After an initial set-up consisting of the system installation and personnel training, the preparation method is optimized by testing different stains, supports and preparation conditions. The prepared specimens are then imaged using <t>an</t> <t>automated</t> data acquisition to screen several grid areas and ensure a good representativity of the sample. Finally, the acquired images are fed into the <t>CNN</t> algorithm, trained via manual image annotation prior to the automated analysis, the resulting detection can be visually evaluated, and the data used for specimen evaluation. This whole process can be implemented into a validation framework.
Bayesian Cnn Lstm Model, supplied by Coursera 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/cnn+model/10__19173_slash_irrodl__v25i3__7756-118-42-48?v=Coursera+Inc
Average 90 stars, based on 1 article reviews
bayesian cnn-lstm model - by Bioz Stars, 2026-07
90/100 stars
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1d-cnn model  (StatLog Inc)
90
StatLog Inc 1d-cnn model
Development process for implementation of TEM workflow. After an initial set-up consisting of the system installation and personnel training, the preparation method is optimized by testing different stains, supports and preparation conditions. The prepared specimens are then imaged using <t>an</t> <t>automated</t> data acquisition to screen several grid areas and ensure a good representativity of the sample. Finally, the acquired images are fed into the <t>CNN</t> algorithm, trained via manual image annotation prior to the automated analysis, the resulting detection can be visually evaluated, and the data used for specimen evaluation. This whole process can be implemented into a validation framework.
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/cnn+model/pm36552906-401-8-27?v=StatLog+Inc
Average 90 stars, based on 1 article reviews
1d-cnn model - by Bioz Stars, 2026-07
90/100 stars
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cnn model  (Hydrofarm Inc)
90
Hydrofarm Inc cnn model
Development process for implementation of TEM workflow. After an initial set-up consisting of the system installation and personnel training, the preparation method is optimized by testing different stains, supports and preparation conditions. The prepared specimens are then imaged using <t>an</t> <t>automated</t> data acquisition to screen several grid areas and ensure a good representativity of the sample. Finally, the acquired images are fed into the <t>CNN</t> algorithm, trained via manual image annotation prior to the automated analysis, the resulting detection can be visually evaluated, and the data used for specimen evaluation. This whole process can be implemented into a validation framework.
Cnn Model, supplied by Hydrofarm 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/cnn+model/pmc12190697-219-47-50?v=Hydrofarm+Inc
Average 90 stars, based on 1 article reviews
cnn model - by Bioz Stars, 2026-07
90/100 stars
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faster r-cnn model  (DBase VI LLC)
90
DBase VI LLC faster r-cnn model
Development process for implementation of TEM workflow. After an initial set-up consisting of the system installation and personnel training, the preparation method is optimized by testing different stains, supports and preparation conditions. The prepared specimens are then imaged using <t>an</t> <t>automated</t> data acquisition to screen several grid areas and ensure a good representativity of the sample. Finally, the acquired images are fed into the <t>CNN</t> algorithm, trained via manual image annotation prior to the automated analysis, the resulting detection can be visually evaluated, and the data used for specimen evaluation. This whole process can be implemented into a validation framework.
Faster R Cnn Model, supplied by DBase VI 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/cnn+model/10__1109_slash_tip__2022__3228162-116-20-23?v=DBase+VI+LLC
Average 90 stars, based on 1 article reviews
faster r-cnn model - by Bioz Stars, 2026-07
90/100 stars
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panoptes-based multi-resolution cnn models  (Panoptes Pharma GmbH)
90
Panoptes Pharma GmbH panoptes-based multi-resolution cnn models
Development process for implementation of TEM workflow. After an initial set-up consisting of the system installation and personnel training, the preparation method is optimized by testing different stains, supports and preparation conditions. The prepared specimens are then imaged using <t>an</t> <t>automated</t> data acquisition to screen several grid areas and ensure a good representativity of the sample. Finally, the acquired images are fed into the <t>CNN</t> algorithm, trained via manual image annotation prior to the automated analysis, the resulting detection can be visually evaluated, and the data used for specimen evaluation. This whole process can be implemented into a validation framework.
Panoptes Based Multi Resolution Cnn Models, supplied by Panoptes Pharma GmbH, 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/cnn+model/pmc10518635-300-0-0?v=Panoptes+Pharma+GmbH
Average 90 stars, based on 1 article reviews
panoptes-based multi-resolution cnn models - by Bioz Stars, 2026-07
90/100 stars
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Image Search Results


Sorting the selected types-based activations among CNN models by applying the LIME method to the CPB data.

Journal: Biomedical Signal Processing and Control

Article Title: Detection of COVID-19 findings by the local interpretable model-agnostic explanations method of types-based activations extracted from CNNs

doi: 10.1016/j.bspc.2021.103128

Figure Lengend Snippet: Sorting the selected types-based activations among CNN models by applying the LIME method to the CPB data.

Article Snippet: Before the last layer of transfer learning-based CNN models (pre-Softmax), activation sets as many as the number of class types are formed.

Techniques:

Sorting the selected types-based activations among CNN models by applying the LIME method to the CovCT-Findings data.

Journal: Biomedical Signal Processing and Control

Article Title: Detection of COVID-19 findings by the local interpretable model-agnostic explanations method of types-based activations extracted from CNNs

doi: 10.1016/j.bspc.2021.103128

Figure Lengend Snippet: Sorting the selected types-based activations among CNN models by applying the LIME method to the CovCT-Findings data.

Article Snippet: Before the last layer of transfer learning-based CNN models (pre-Softmax), activation sets as many as the number of class types are formed.

Techniques:

Development process for implementation of TEM workflow. After an initial set-up consisting of the system installation and personnel training, the preparation method is optimized by testing different stains, supports and preparation conditions. The prepared specimens are then imaged using an automated data acquisition to screen several grid areas and ensure a good representativity of the sample. Finally, the acquired images are fed into the CNN algorithm, trained via manual image annotation prior to the automated analysis, the resulting detection can be visually evaluated, and the data used for specimen evaluation. This whole process can be implemented into a validation framework.

Journal: Frontiers in Molecular Biosciences

Article Title: Quality assessment of virus-like particle: A new transmission electron microscopy approach

doi: 10.3389/fmolb.2022.975054

Figure Lengend Snippet: Development process for implementation of TEM workflow. After an initial set-up consisting of the system installation and personnel training, the preparation method is optimized by testing different stains, supports and preparation conditions. The prepared specimens are then imaged using an automated data acquisition to screen several grid areas and ensure a good representativity of the sample. Finally, the acquired images are fed into the CNN algorithm, trained via manual image annotation prior to the automated analysis, the resulting detection can be visually evaluated, and the data used for specimen evaluation. This whole process can be implemented into a validation framework.

Article Snippet: Through image data collected during the study, a dedicated CNN (ref) model was created by Vironova to enable automated VLP particle detection and measurement of quality attributes that include particle count, diameter, and roundness.

Techniques: Biomarker Discovery