Tag: convolutional neural network

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 ...

A physics-informed deep learning model combining impedance spectroscopy, distribution of relaxation times and multi-scale convolutional networks achieves sub-1-percent error in ...

Researchers report an explainable dual-path attention convolution network that classifies emotions in speech with 98.6% accuracy on the RAVDESS benchmark ...

An Indian research team has combined a gold-coated photonic crystal fiber SPR sensor with a hybrid CNN-SVM-XGBoost framework that classifies ...

Researchers in Morocco have developed IACAN, a deep learning architecture that dynamically balances convolutional and attention branches using KL divergence ...