Tag: deep learning

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

Researchers have unveiled DBRA-Net, a dual-branch residual attention network that achieves highly accurate image retrieval over encrypted cloud data while ...

Researchers in London have developed NeuralShift, a deep learning framework that predicts brain deformation during temporal lobe resection for epilepsy ...

Researchers have developed an attention-enhanced YOLOv8n-CBAM deep learning model that detects red palm weevils in pheromone trap images with high ...

Researchers at Tarbiat Modares University have developed DuoDiT, a dual-stream architecture that adapts large diffusion transformers for image generation by ...

Researchers have built a hybrid recommender system that combines a deep denoising graph convolutional autoencoder, demographic side information, and learning ...

Researchers fine-tuned the Cellpose-SAM model to separate overlapping cervical cells in Pap-smear images, achieving improved segmentation accuracy on an independent ...

A new CNN-Transformer model detects depression from Chinese speech with over 95% precision by fusing wavelet-based spectral features with hybrid ...

A prospective pilot study at a Turkish children's hospital shows that pairing deep learning demand forecasts with optimization-based physician scheduling ...

A new review maps how artificial intelligence is transforming oncology drug discovery, clinical decision-making, and regulatory science from molecule design ...