Tag: deep learning

Researchers at Hohai University have developed ShuffleNet-MSAA, a lightweight AI system that uses adaptive attention and sonar imaging to detect ...

Researchers have combined patient-derived pancreatic tumor organoids with a deep learning algorithm called OrganoIDNet to automatically track in real time ...

A new deep learning framework reconstructs invisible Red Edge and near-infrared bands from ordinary RGB drone imagery, bringing multispectral crop ...

Researchers have built a drone perception framework that pairs an enhanced YOLOv7 detector with graph attention network reasoning and spatial ...

Researchers at Taiyuan University of Technology and Shanxi Bethune Hospital have developed a label-free platform that combines inertial microfluidic cell ...

A new artificial intelligence system that measures how much stomach lining endoscopists actually see is strongly linked to higher detection ...

A systematic review of 108 studies charts how machine learning transformed bioacoustics over two decades, finding that deep learning now ...

A new deep learning framework called PolyAnalysis estimates RNA poly(A) tail lengths directly from raw nanopore sequencing signals and profiles ...

A dual-center study reports a two-stage deep learning network that predicts hidden central lymph node metastasis in surveillance-eligible papillary thyroid ...

Researchers have developed AttentiveGaze, a real-time multimodal AI framework that fuses face, eye, and head pose cues with attention mechanisms ...

The latest volume of SLAS Discovery showcases how artificial intelligence, deep learning and data-mining strategies are accelerating drug discovery across ...

Researchers have built a self-healing, skin-inspired MXene-polyurethane flexible sensor that, paired with deep learning, can recognize handwritten digits and classify ...

Researchers have developed a real-time computer vision system that reads students' facial expressions during online lessons and converts four learning-centered ...

Researchers in Vietnam have developed U-NetL2O, an explainable learning-to-optimize framework that embeds a U-Net into an unrolled ADMM scheme to ...

A new interpretable deep learning framework called EnhancerDetector identifies gene enhancers from DNA sequence alone across species from human to ...

A new review of 61 studies reveals that the explainability and privacy protections required for trustworthy medical and biometric deep ...

A systematic review of 237 studies from 2014 to 2024 maps how explainable AI techniques such as SHAP and LIME ...

A new deep learning model called TimePop shows that the exact time a short video is posted carries a powerful ...

Researchers in China have developed an exploratory AI framework that combines DWI lesion features, SWI-derived deep medullary vein markers, and ...

A new systematic review finds that hybrid deep learning and metaheuristic optimization frameworks achieve 98 to 100 percent accuracy in ...