Explore how AI-driven anomaly detection enhances the security of Model Context Protocol (MCP) deployments, protecting AI infrastructure from evolving threats with real-time insights.
Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times ...
Şen, A. (2025) Visual Resistance in Platform Societies: Video Activism in Türkiye’s Feminist and Environmental Movements.
The study presents convincing quantitative evidence, supported by appropriate negative controls, for the presence of low-abundance glycine receptors (GlyRs) within inhibitory synapses in telencephalic ...
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CJI Surya Kant and the new era of judicial reform: A blueprint to transform India’s justice system
Justice Surya Kant has recently taken oath as the 53rd Chief Justice of India (CJI) at a time when India’s justice system is not merely burdened but is at its tipping point of explosion. With judicial ...
Abstract: This work proposes a new recurrent neural network (RNN) algorithm for solving discrete multilayer dynamic systems (DMDSs). First, by utilizing the direct-discretization technique, a ...
Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
Abstract: This paper presents a rapidly direct algorithm (RDA) to calculate explicit Fréchet derivatives (EFD) for marine controlled-source electromagnetic measurement (MCSEM) in a three-dimensional ...
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