fully convolutional neural network with self attention Search Results


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IEEE Access convolutional neural network-based pavement crack segmentation using pyramid attention network
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Mendeley Ltd efficient global attention block (gab) for feed-forward convolutional neural networks (cnn)
Comparison of existing methodologies.
Efficient Global Attention Block (Gab) For Feed Forward Convolutional Neural Networks (Cnn), supplied by Mendeley Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Rundo Cronova fully convolutional neural network with self attention
Comparison of existing methodologies.
Fully Convolutional Neural Network With Self Attention, supplied by Rundo Cronova, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Zhongrong International Trust Co Ltd pixel-wise weighting-based fully convolutional neural networks
Comparison of existing methodologies.
Pixel Wise Weighting Based Fully Convolutional Neural Networks, supplied by Zhongrong International Trust Co Ltd, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Molecular Dynamics Inc aaconv, attention augmented convolutional neural network
<t> ACP </t> Predictors Based on Deep Learning
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IEEE Access pyramidal convolution shuffle attention neural network
<t> ACP </t> Predictors Based on Deep Learning
Pyramidal Convolution Shuffle Attention Neural 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
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Guiyang Xintian Pharmaceutical Co Ltd residual convolutional neural network with attention module
<t> ACP </t> Predictors Based on Deep Learning
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Image Search Results


Comparison of existing methodologies.

Journal: Scientific Reports

Article Title: Reinforcement-based leveraging transfer learning for multiclass optical coherence tomography images classification

doi: 10.1038/s41598-025-89831-2

Figure Lengend Snippet: Comparison of existing methodologies.

Article Snippet: , Efficient global attention block (GAB) for feed-forward convolutional neural networks (CNN) , Mendeley Data, 2018 , Accuracy, Precision, Recall, F1-Score, and Confusion Matrix , 97% Accuracy.

Techniques: Comparison, Biomarker Discovery, Labeling, Extraction, Standard Deviation, Blocking Assay

 ACP  Predictors Based on Deep Learning

Journal: Drug Design, Development and Therapy

Article Title: Dynamic Visualization of Computer-Aided Peptide Design for Cancer Therapeutics

doi: 10.2147/DDDT.S497126

Figure Lengend Snippet: ACP Predictors Based on Deep Learning

Article Snippet: AAConv, Attention Augmented Convolutional Neural Network; ACP, Anticancer Peptide; BiLSTM, Bidirectional Long Short-Term Memory; CAM, Channel Attention Module; CDF, Cascade Deep Forest; CNN, Convolutional Neural Network; CNN_Bi-LSTM, Hybrid Convolution and Bidirectional Long Short-Term Memory Network; DNN, Deep Neural Network; GCN, Graph Convolution Network; IARC, International Agency for Research on Cancer; JCR, Journal Citation Reports; KNN, K-Nearest Neighbor; MD, Molecular Dynamics; PDC, Peptide-Drug Conjugate; PLM, Protein Language Model; PPC, polymer–peptide conjugate; QSAR, Quantitative Structure-Activity Relationships; RIIP, Le Reseau International des Instituts Pasteur; RF, Random Forest; RNN, Recurrent Neural Network; SSCI, Social Science Citation Indices; SVM, Support Vector Machine; WoSCC, Web of Science Core Collection.

Techniques: Blocking Assay