Tag: deep learning

Researchers have developed a CNN-BiLSTM-Attention hybrid neural network optimized by an improved antlion algorithm that diagnoses and predicts transformer faults ...

A new RGB-D perception-to-action framework called E-YOLOv11-RGBD raised robotic greenhouse harvesting success from 51.7 to 92.5 percent by converting AI ...

A multi-center study shows that a deep learning model can detect extramural vascular invasion on rectal cancer MRI with senior-radiologist-level ...

Researchers have developed a physics-informed, uncertainty-aware graph neural network that predicts jet engine remaining useful life with record robustness under ...

Researchers have built an AI framework that grades cassava roots by amylose content using hyperspectral imaging and reconstructs the crucial ...

A large-scale study argues that machine learning performance should be reported as distributions with confidence intervals on quantiles rather than ...

A deep learning analysis of Planet satellite imagery has classified the surface type and width of 9.2 million kilometers of ...

Researchers at Guangdong University of Technology have developed DP-MVAD, a dual-path multi-view framework that disentangles trends from perturbations and fuses ...

A new benchmark study shows that data augmentation lifts pre-trained deep learning models to up to 98.06% accuracy in classifying ...

Researchers have developed a hyperspectral deep learning framework, STAMPformer, that non-destructively predicts continuous frost damage severity in field-grown tea plants ...

Researchers have combined conditional diffusion models with graph neural networks to generate coordinated energy schedules for building clusters, achieving a ...

Researchers in India report that a hybrid ADAMW plus SGD optimizer with embedded feature selection boosts deep learning accuracy for ...

Chinese researchers have developed LMMR-YOLO, a lightweight deep learning model that automatically detects macular holes in OCT scans and measures ...

A new computational framework called DeCTCF uses AI-predicted epigenomic features to sort more than 236,000 CTCF binding sites into 20 ...

Researchers in India have built a hybrid graph neural network framework that converts retinal images into graph structures, achieving up ...

Researchers in Turkey have built a multimodal Vision Transformer framework that converts Android app features into grayscale and QR code ...

A hybrid deep learning and radiomics framework can detect subjective cognitive decline, the earliest preclinical stage of Alzheimer's disease, from ...

A new encoder–decoder transformer with waveform-level data augmentation achieves 100 percent accuracy on German emotional speech and 94 percent on ...

A multicenter study found that a deep learning model analyzing full ultrasound videos significantly improved diagnostic accuracy for suspicious breast ...

A new review in Biogerontology lays out a five-part framework for interpreting AI-derived ocular age estimates, warning that a cross-sectional ...