Tag: convolutional neural network

A new parallel deep learning framework combining CNN and Transformer branches with thermodynamic regularization improves the prediction of mutation-induced protein ...

Researchers in Beijing built a 27-sensor deep learning system that predicts and reconstructs three-dimensional temperature and humidity fields inside solar ...

Researchers have developed a smart ring and machine learning system that automatically attributes AAC device speech to the correct user ...

Researchers have built a WaveNet-CNN framework that fuses spatial and frequency-domain features with a dual moth flame optimization algorithm to ...

A hybrid quantum-classical neural network with deep spatial attention has achieved 92.38 percent leakage-free accuracy in classifying skin lesions on ...

Researchers at CSIR-CCMB have developed DeNAT, a deep-learning tool that measures neurite regrowth after spinal cord injury with near-perfect agreement ...

A new deep learning model called CWT-AuxNet converts wavelet-based time-frequency representations of uterine electrical recordings into individualized preterm birth risk ...

A new stem-encoder-decoder neural network runs crowd counting at up to 381.7 frames per second on desktop GPUs and 71.9 ...

Researchers have built a federated hybrid quantum-classical neural network that classifies Alzheimer's disease from MRI scans with benchmark accuracies above ...

A new hybrid 3D CNN-graph attention framework with entropy-guided fusion achieved an AUROC of 0.964 and delineated five new exploration ...