An integrated artificial intelligence framework combining generative oversampling, multi-scale attention, and dynamic focal loss achieved 95.88 percent classification accuracy on ...
Researchers have introduced a decentralized federated learning framework that corrects noisy training labels across peer-to-peer networks through model-level majority voting ...
Researchers propose the ASSFL protocol, an adaptive semi-synchronous federated learning method that uses a semi-decentralized topology to improve accuracy and ...
A systematic bibliometric study shows artificial intelligence for microgrid energy management prioritizes explainability over computational frugality, creating critical deployment bottlenecks.
A new lightweight RGB-IR fusion network enables real-time object detection on drones, achieving high accuracy in low-light conditions with significantly ...
Computer vision researchers have developed an optimized lightweight neural network capable of accurately detecting electric bicycles in crowded residential elevators ...
A narrative review in Discover Robotics highlights how AI-driven control and energy management are transforming upper limb prosthetics into intuitive ...
A survey of 164 Arabic-speaking participants across 12 countries found that 55 percent prioritize privacy and prefer strengthening the security ...
A review of 117 studies evaluates how machine learning and sensor fusion are applied to vehicular driving pattern analysis while ...
Researchers have introduced LCS-Net, a lightweight collaborative neural network that executes simultaneous real-time object detection and semantic segmentation for autonomous ...
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