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Motive launches new AI model to detect positive driver behaviours
AI-powered Integrated Operations Platform, Motive, has introduced Positive Driving, designed to detect positive driver behaviours.
Scientific Research Publishing1d
Machine Learning-Based Outlier Detection in Long-Term Climate Data: Evidence from Burkina Faso’s Synoptic Network ()
Isolation Forest detects anomalies by isolating observations. It builds binary trees (called iTrees) by recursively ...
IEEE3d
Design of a Novel Explainable Adversarial Autoencoder Model for the Electromagnetic Analysis of Functional Materials Based on Physics-Informed Learning
Machine learning models have found their applications in solving problems that can traditionally handle ordinary or partial differential equations. The full-wave simulations solve such equations for ...
IEEE6d
SCAAE: Using Self-Supervised Contrastive Learning in Adversarial AutoEncoder for Anomaly Detection of Multivariate Time Series in Cyber Physics Systems - IEEE Xplore
The network security protection of Cyber- Physical Systems (CPS), represented by power monitoring systems, is a significant research area. Anomaly detection of multivariate time series generated ...