Oneindia

Managing Combinatorial Explosion In High Dimensional Time Series Anomaly Detection

Explore strategies for managing combinatorial explosion in high dimensional anomaly detection to enhance data observability ...

From Batch Processing to Real-Time Alerts: Rebuilding SNAP Fraud Detection

Srinubabu Kilaru said Bringing version control and CI/CD into data pipelines changed how quickly we could respond to policy ...

Biometric Authentication, Passkeys And AI-Driven Threat Detection: The Next Evolution Of Enterprise Identity

As leaders begin implementing biometrics, passkeys and AI threat detection, there are several core design principles they ...
Devdiscourse

Fast and Accurate Water Leak Detection in Distribution Networks Using Deep Anomaly Models

Researchers from Politecnico di Milano propose a data-driven water leak detection method that treats leaks as anomalies in ...
IEEE

GSPO-LAD: A Graph Neural Network-Based Sensor Placement and Anomaly Detection in Water Distribution Systems

Abstract: AI-based sensor placement for anomaly detection in water distribution systems (WDS) enhances system reliability and efficiency. Advanced WDS are attractive targets for malicious actors who ...
IEEE

STVAD: A Lightweight Spatio–Temporal Attention Network for Video Anomaly Detection

Abstract: Detecting anomalies within video content continues to pose an alarming challenge in social systems, attributable to the inherently ambiguous nature of abnormal activities and the complex ...
C&EN

De Novo Design of α-helical Peptide Nanopores for Single-Molecule Detection Using Helix Packing Motifs

Department of Biotechnology and Life Science, Tokyo University of Agriculture and Technology, Tokyo 183-8538, Japan ...
GitHub

Automated Neural Architecture Design for Industrial Defect Detection

This is an official implementation of our paper AutoNAD [IEEE/ASME Transactions on Mechatronics, 2025]. The datasets used in this project need to be download from here (The datasets have been ...