A Classic Statistics Test Gets a Streaming Makeover to Catch Anomalies in Real Time
Researchers in Seoul have rebuilt the classic extreme studentized deviate test into an online, self-tuning algorithm that detects anomalies in ...
Researchers in Seoul have rebuilt the classic extreme studentized deviate test into an online, self-tuning algorithm that detects anomalies in ...
University of Arizona researchers have developed a formal-methods approach that automatically encodes microservice source code into a constraint model, enabling ...
A new fuzzy logic-based trust management scheme called SFFTM distinguishes malicious underwater sensor nodes from honest ones hampered by unstable ...
Researchers at Universidad de los Andes have unveiled Syncordian, a conflict-free replicated data type that keeps closed groups of peers ...
Researchers have designed secure multiparty computation protocols that let IoT enterprises compute set intersections and unions over exact rational numbers, ...
Researchers have developed CMOEA-TSD, a three-population, two-stage evolutionary algorithm that significantly outperforms seven state-of-the-art methods on constrained multi-objective optimization problems ...
Researchers at Huzhou University have developed ESM, a deep reinforcement learning system that adapts video streaming bitrates to improve perceived ...
Researchers at Yangzhou University have developed an AI-driven evolutionary algorithm that reconfigures electrical distribution networks to reduce power losses, validated ...
Researchers in China have developed a magpie-inspired optimization algorithm that plans shorter, smoother, and safer three-dimensional drone flight paths, outperforming ...
Researchers at the University of Kashan have developed HAMRL, a hierarchical attention-based multi-agent reinforcement learning framework that lets IoT devices ...
© 2026 Scienmag - Science Magazine
© 2026 Scienmag - Science Magazine