Tag: deep learning

A new multi-task AI framework called TAZD-Net segments thyroid nodules and predicts malignancy by explicitly reasoning over the lesion, its ...

Researchers combined YOLOv8s and Pix2Pix with ant colony and particle swarm optimization to stabilize wrinkle detection and realistic cosmetic skin ...

A new multi-scale deep learning framework called Rain-PostEFNet substantially improves numerical weather prediction rainfall forecasts, with the largest gains in ...

Researchers in South Korea have developed RECUR, a retrieval-based framework using nonparametric masked language modeling that outperforms conventional methods in ...

A Turkish research team trained a YOLOv11x deep learning model on more than 1,500 CBCT scans to automatically classify midpalatal ...

A systematic study shows that Z-score normalization, applied after artifact removal, is essential for Transformer models to decode movement from ...

A bibliometric and LDA topic modeling study of 18,625 open access AI papers reveals India's explosive research growth since 2018 ...

Researchers have developed a multiobject tracking framework combining a nonlinear adaptive Kalman filter, multi-scale appearance enhancement, and trajectory stitching that ...

Researchers have introduced Light-wDEF, a resource-efficient and fully reproducible framework that enabled a fair comparison of ten visual deepfake detectors ...

A multicenter study shows a hybrid deep learning model combining CNN and graph convolutional networks can predict malignancy in BI-RADS ...

Researchers in India have unveiled an audio watermarking system that combines non-overlapping segmentation, wavelet-domain optimization, fractal-based encryption, and a custom ...

A new hybrid AI framework combining deep convolutional networks with multi-objective evolutionary optimization achieves 98.5 percent accuracy in assessing vocational ...

A PRISMA-compliant systematic review of 48 deep learning studies finds that only 27 percent of diabetic foot ulcer AI systems ...

A multicenter study shows a deep learning model called GobletNet can segment and classify parotid gland tumors on ultrasound with ...

Researchers have developed ZD-HybridNet, a hybrid Transformer-LSTM deep learning framework that detects attack categories withheld from training and explains its ...

Researchers have developed SkinEnsemNet, an ensemble deep learning framework combining VGG16, DenseNet201, and EfficientNetB0 that achieves up to 98.85 percent ...

Researchers at Xidian University have developed a Topic Semantic Relational Knowledge model that filters dialogue history by topic and matches ...

Researchers have developed a hybrid deep learning architecture combining graph neural networks, Transformers, and variational autoencoders to detect and explain ...

A new dual-stream deep learning framework fuses spatiotemporal brain activity with dynamic functional connectivity to classify neurological disease severity from ...

Researchers have developed a physics-informed neural network with an attention mechanism that predicts electric vehicle range with far greater accuracy ...