Self-Learning AI Guards Industrial IoT Networks Without Labels or Cloud Retraining
Researchers have developed SA-IDS, a self-supervised intrusion detection system that learns normal behavior without labeled data and adapts to drift ...
Researchers have developed SA-IDS, a self-supervised intrusion detection system that learns normal behavior without labeled data and adapts to drift ...
A systematic review of 199 studies finds that drone-based remote sensing is transforming rice breeding and field management, while cross-regional ...
A new survey in Cluster Computing provides the first unified taxonomy of task scheduling and load balancing algorithms across cloud, ...
A new cloud-edge collaborative framework adapts speech-to-speech translation to any device's compute budget while preserving speaker identity through a privacy-preserving ...
A systematic review of 41 studies reveals that distributed machine learning, led by federated learning, is rapidly reshaping precision agriculture ...
A new systematic review of over 160 studies finds that reinforcement learning can make smart microgrids genuinely adaptive, but communication-aware ...
Researchers have developed an AI-driven trust and decision-making framework that uses software-defined networking and the Bat Algorithm to select secure, ...
Researchers have developed SWIFT-KD, a federated learning framework combining hierarchical sliding-window transformers with knowledge distillation that predicts building energy consumption ...
Researchers have introduced Generative Video Compression, a framework that transmits video at rates as low as 0.02% and below 0.01% ...
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© 2026 Scienmag - Science Magazine