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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
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
Accuracy and kappa index comparison using DRIVE dataset | Download Scientific Diagram
Deep Neural Networks for Voice Quality Assessment Based on the GRBAS Scale | Semantic Scholar
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
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Sensors | Free Full-Text | Crop Mapping Using the Historical Crop Data Layer and Deep Neural Networks: A Case Study in Jilin Province, China
Deep-neural-network solution of the electronic Schrödinger equation | Nature Chemistry
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
Pattern Recognition of Modulation Signal Classification Using Deep Neural Networks
Comparison of Cohen's Kappa values of LR, DNN, PN, CNN, and CNN-LSTM... | Download Scientific Diagram
KAPPA values for the BJ02 experiment. The bold one means the best... | Download Table
Fully connected deep neural network (FC‐DNN)‐based TNNA. The forward... | Download Scientific Diagram
Pattern Recognition of Modulation Signal Classification Using Deep Neural Networks
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