41 results on '"Wang, Shui"'
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2. RDNet: ResNet-18 with Dropout for Blood Cell Classification
3. CMB-net: a deep convolutional neural network for diagnosis of cerebral microbleeds
4. Diagnosis of COVID-19 Pneumonia via a Novel Deep Learning Architecture
5. Fingerspelling Recognition by 12-Layer CNN with Stochastic Pooling
6. Improving ductal carcinoma in situ classification by convolutional neural network with exponential linear unit and rank-based weighted pooling
7. Explainable diagnosis of secondary pulmonary tuberculosis by graph rank-based average pooling neural network
8. Diagnosis of secondary pulmonary tuberculosis by an eight-layer improved convolutional neural network with stochastic pooling and hyperparameter optimization
9. An eight-layer convolutional neural network with stochastic pooling, batch normalization and dropout for fingerspelling recognition of Chinese sign language
10. Fruit category classification via an eight-layer convolutional neural network with parametric rectified linear unit and dropout technique
11. Classification of cerebral microbleeds based on fully-optimized convolutional neural network
12. Sensorineural hearing loss identification via nine-layer convolutional neural network with batch normalization and dropout
13. RETRACTED ARTICLE: Alcoholism identification via convolutional neural network based on parametric ReLU, dropout, and batch normalization
14. Ford Motorcar Identification from Single-Camera Side-View Image Based on Convolutional Neural Network
15. Image based fruit category classification by 13-layer deep convolutional neural network and data augmentation
16. Polarimetric synthetic aperture radar image segmentation by convolutional neural network using graphical processing units
17. Classification of Alzheimer’s Disease Based on Eight-Layer Convolutional Neural Network with Leaky Rectified Linear Unit and Max Pooling
18. ReRNet: A Deep Learning Network for Classifying Blood Cells.
19. NAGNN: Classification of COVID‐19 based on neighboring aware representation from deep graph neural network.
20. Cerebral Microbleed Detection via Convolutional Neural Network and Extreme Learning Machine.
21. Subject-Independent Emotion Recognition of EEG Signals Based on Dynamic Empirical Convolutional Neural Network.
22. Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network.
23. Brain Age Prediction of Children Using Routine Brain MR Images via Deep Learning.
24. Alcoholism identification via convolutional neural network based on parametric ReLU, dropout, and batch normalization.
25. Teeth category classification via seven‐layer deep convolutional neural network with max pooling and global average pooling.
26. Alcoholism Identification Based on an AlexNet Transfer Learning Model.
27. Multiple Sclerosis Identification by 14-Layer Convolutional Neural Network With Batch Normalization, Dropout, and Stochastic Pooling.
28. Alcoholism Detection by Data Augmentation and Convolutional Neural Network with Stochastic Pooling.
29. ELMGAN: A GAN-based efficient lightweight multi-scale-feature-fusion multi-task model.
30. CGENet: A Deep Graph Model for COVID-19 Detection Based on Chest CT.
31. A Survey of Computer-Aided Tumor Diagnosis Based on Convolutional Neural Network.
32. A cerebral microbleed diagnosis method via FeatureNet and ensembled randomized neural networks.
33. CSGBBNet: An Explainable Deep Learning Framework for COVID-19 Detection.
34. Applicable artificial intelligence for brain disease: A survey.
35. Marketing Risk Assessment Method of Industrial and Commercial Enterprises Based on Convolutional Neural Network
36. Image Recognition Method of Educational Scene Based on Machine Learning
37. Multi-spectral Image Filtering Algorithm Based on Convolutional Neural Network
38. An Optimized Seven-Layer Convolutional Neural Network with Data Augmentation for Classification of Chinese Fingerspelling Sign Language
39. Apple Defect Detection Method Based on Convolutional Neural Network
40. MIDCAN: A multiple input deep convolutional attention network for Covid-19 diagnosis based on chest CT and chest X-ray.
41. MFBCNNC: Momentum factor biogeography convolutional neural network for COVID-19 detection via chest X-ray images.
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