New AI Detector Spots Machine-Written Science Papers With 91.5% Accuracy
Researchers in Jordan have developed a hybrid deep learning detector that distinguishes human-written scientific text from output generated by ChatGPT, ...
Researchers in Jordan have developed a hybrid deep learning detector that distinguishes human-written scientific text from output generated by ChatGPT, ...
Researchers in Chongqing have developed a wavelet-guided deep learning framework that coordinates frequency-domain and spatial cues to sharply localize changes ...
Researchers trained three U-Net models to segment bone ingrowth in micro-CT scaffold images and found that standard segmentation metrics can ...
A new lightweight AI framework called RAML embeds tumor subregion identity and geometric descriptors directly into its architecture, trading a ...
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 ...
A physics-guided graph neural network with an extended LSTM backbone achieved year-long daily runoff forecasts on the middle Yellow River, ...
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 ...
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© 2025 Scienmag - Science Magazine