Turbidity Currents Meet AI: Review Maps Numerical Models and Machine Learning
A new review maps how numerical simulations and artificial intelligence are reshaping the study of turbidity currents, the powerful underwater ...
A new review maps how numerical simulations and artificial intelligence are reshaping the study of turbidity currents, the powerful underwater ...
A prospective Indian study reports a deep-learning ensemble that classifies thyroid FNAC images into 2023 Bethesda categories with 96 percent ...
A new 3D Mamba-based model segments brain tumors with consistent accuracy gains and a 15x efficiency improvement over existing state-of-the-art ...
A new framework combines 3D computational fluid dynamics, sparse Proper Generalized Decomposition surrogates, and data-driven methods such as SINDy and ...
A systematic review of 26 studies finds AI models diagnosing multiple sclerosis with over 95 percent accuracy in some cases, ...
Researchers developed TriAlign-ATG, an AI framework that generates physically executable adversarial network traffic which evades deep-learning intrusion detectors while preserving ...
A new knowledge distillation method compresses large pre-trained models into lightweight detectors that identify vulnerabilities in Python code with Macro-F1 ...
A new multimodal AI system called HMTF-Net combines text, conversation context, user interaction graphs, images and metadata to detect cyberbullying, ...
Researchers report an improved YOLO model that detects small PCB surface defects with 90.63% sensitivity while reducing model size and ...
A SegFormer-B2-based multi-expert ensemble called MUSE-Net achieved a mean Dice of 0.834 for carotid plaque segmentation across a four-center ultrasound ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine