![Comparison of Cohen's Kappa values of LR, DNN, PN, CNN, and CNN-LSTM... | Download Scientific Diagram Comparison of Cohen's Kappa values of LR, DNN, PN, CNN, and CNN-LSTM... | Download Scientific Diagram](https://www.researchgate.net/publication/357593994/figure/fig2/AS:1108915718762500@1641397518715/Comparison-of-the-ASAMD-values-of-LR-DNN-PN-CNN-and-CNN-LSTM-for-samples-of-size-N_Q320.jpg)
Comparison of Cohen's Kappa values of LR, DNN, PN, CNN, and CNN-LSTM... | Download Scientific Diagram
![A dense neural network (DNN) was used to make a volumetric inference... | Download Scientific Diagram A dense neural network (DNN) was used to make a volumetric inference... | Download Scientific Diagram](https://www.researchgate.net/publication/326067641/figure/fig3/AS:962701815722005@1606537407301/A-dense-neural-network-DNN-was-used-to-make-a-volumetric-inference-from-n-slices-The.png)
A dense neural network (DNN) was used to make a volumetric inference... | Download Scientific Diagram
![The architecture of Deep Neural Network (DNN) for ship classification. | Download Scientific Diagram The architecture of Deep Neural Network (DNN) for ship classification. | Download Scientific Diagram](https://www.researchgate.net/publication/345364697/figure/fig1/AS:1022931253604357@1620897224956/The-architecture-of-Deep-Neural-Network-DNN-for-ship-classification.png)
The architecture of Deep Neural Network (DNN) for ship classification. | Download Scientific Diagram
![Sensors | Free Full-Text | Crop Mapping Using the Historical Crop Data Layer and Deep Neural Networks: A Case Study in Jilin Province, China Sensors | Free Full-Text | Crop Mapping Using the Historical Crop Data Layer and Deep Neural Networks: A Case Study in Jilin Province, China](https://pub.mdpi-res.com/sensors/sensors-22-05853/article_deploy/html/images/sensors-22-05853-g003.png?1659691074)
Sensors | Free Full-Text | Crop Mapping Using the Historical Crop Data Layer and Deep Neural Networks: A Case Study in Jilin Province, China
![SleepPrintNet: A Multivariate Multimodal Neural Network Based on Physiological Time-Series for Automatic Sleep Staging | Semantic Scholar SleepPrintNet: A Multivariate Multimodal Neural Network Based on Physiological Time-Series for Automatic Sleep Staging | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/21ff0770547787bf5be046481608d90c3773cbc6/8-TableIII-1.png)
SleepPrintNet: A Multivariate Multimodal Neural Network Based on Physiological Time-Series for Automatic Sleep Staging | Semantic Scholar
Vanilla Neural Networks in R. Take a Look Under The Hood of Neural… | by Chris Mahoney | Towards Data Science
![ROC-AUC, Kappa and F1-score performances of DNN, XGB and MF models on... | Download Scientific Diagram ROC-AUC, Kappa and F1-score performances of DNN, XGB and MF models on... | Download Scientific Diagram](https://www.researchgate.net/publication/340774050/figure/fig5/AS:963413916266519@1606707185775/ROC-AUC-Kappa-and-F1-score-performances-of-DNN-XGB-and-MF-models-on-AstraZeneca-and.png)
ROC-AUC, Kappa and F1-score performances of DNN, XGB and MF models on... | Download Scientific Diagram
![Sensors | Free Full-Text | Crop Mapping Using the Historical Crop Data Layer and Deep Neural Networks: A Case Study in Jilin Province, China Sensors | Free Full-Text | Crop Mapping Using the Historical Crop Data Layer and Deep Neural Networks: A Case Study in Jilin Province, China](https://pub.mdpi-res.com/sensors/sensors-22-05853/article_deploy/html/images/sensors-22-05853-g004.png?1659691082)
Sensors | Free Full-Text | Crop Mapping Using the Historical Crop Data Layer and Deep Neural Networks: A Case Study in Jilin Province, China
![Applied Sciences | Free Full-Text | Assessment of Landslide Susceptibility Combining Deep Learning with Semi-Supervised Learning in Jiaohe County, Jilin Province, China Applied Sciences | Free Full-Text | Assessment of Landslide Susceptibility Combining Deep Learning with Semi-Supervised Learning in Jiaohe County, Jilin Province, China](https://www.mdpi.com/applsci/applsci-10-05640/article_deploy/html/images/applsci-10-05640-g003.png)
Applied Sciences | Free Full-Text | Assessment of Landslide Susceptibility Combining Deep Learning with Semi-Supervised Learning in Jiaohe County, Jilin Province, China
Application of the Deep Learning Algorithm to Identify the Spatial Distribution of Heavy Metals at Contaminated Sites | ACS ES&T Engineering
![Electronics | Free Full-Text | Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction Electronics | Free Full-Text | Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction](https://www.mdpi.com/electronics/electronics-09-00914/article_deploy/html/images/electronics-09-00914-g007.png)
Electronics | Free Full-Text | Blended Multi-Modal Deep ConvNet Features for Diabetic Retinopathy Severity Prediction
![Comparison of Cohen's Kappa values of LR, DNN, PN, CNN, and CNN-LSTM... | Download Scientific Diagram Comparison of Cohen's Kappa values of LR, DNN, PN, CNN, and CNN-LSTM... | Download Scientific Diagram](https://www.researchgate.net/publication/357593994/figure/fig3/AS:1108915718754315@1641397518737/Comparison-of-the-absolute-bias-values-of-LR-DNN-PN-CNN-and-CNN-LSTM-for-samples-of_Q320.jpg)
Comparison of Cohen's Kappa values of LR, DNN, PN, CNN, and CNN-LSTM... | Download Scientific Diagram
![Fully connected deep neural network (FC‐DNN)‐based TNNA. The forward... | Download Scientific Diagram Fully connected deep neural network (FC‐DNN)‐based TNNA. The forward... | Download Scientific Diagram](https://www.researchgate.net/publication/356121174/figure/fig2/AS:1099062182981635@1639048252385/Fully-connected-deep-neural-network-FC-DNN-based-TNNA-The-forward-network-and-reverse.png)
Fully connected deep neural network (FC‐DNN)‐based TNNA. The forward... | Download Scientific Diagram
Revealing Adverse Outcome Pathways from Public High-Throughput Screening Data to Evaluate New Toxicants by a Knowledge-Based Deep Neural Network Approach | Environmental Science & Technology
![Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones | Scientific Reports Interpretable deep learning for the remote characterisation of ambulation in multiple sclerosis using smartphones | Scientific Reports](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41598-021-92776-x/MediaObjects/41598_2021_92776_Fig1_HTML.png)