AI Learns When Not to Learn: Smarter Traffic Sign Detection Under Real-World Chaos
Researchers have developed AdaTent++, a test-time adaptation framework that routes each unlabeled frame through reliability-gated paths to improve traffic sign ...
Researchers have developed AdaTent++, a test-time adaptation framework that routes each unlabeled frame through reliability-gated paths to improve traffic sign ...
A systematic review of 45 studies finds digital twin research is booming but remains largely prototype-stage, lacking rigorous evaluation on ...
A systematic review of 88 studies shows radar and camera-based IoT systems dominate contactless vital-sign monitoring, while blood pressure, oxygen ...
A new review charts how distributed AI, cross-domain knowledge transfer, and foundation models are transforming resource management across the edge-cloud ...
Researchers argue that siloed cyber-physical-human systems in smart cities can be repurposed during disasters, boosting community resilience through containerization, orchestration, ...
Researchers have built SpudNet5-R3, a lightweight explainable convolutional neural network that detects potato early and late blight with up to ...
A new AI-IoT framework combining an LSTM autoencoder with Random Forest regression achieves near-perfect anomaly detection and accurate water quality ...
A new multi-dimensional evaluation framework shows that the most accurate intrusion detection model is often not the best choice for ...
A systematic review of research from 2021 to 2025 maps how artificial intelligence is reshaping security for IoT and mobile ...
Researchers at Jerash University have developed an energy-aware federated deep learning framework that cuts per-round energy use by about 43 ...
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© 2026 Scienmag - Science Magazine