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Scientific Research Publishing2h
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 ...
AI model analyzes speech to detect early neurological disorders with high accuracy
A research team led by Prof. Li Hai from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has ...
IEEE17h
VG-Net: Sensor Time Series Anomaly Detection with Joint Variational Autoencoder and Graph Neural Network - IEEE Xplore
Intelligent Cyber-Physical Systems typically utilize sensors to gather a significant amount of raw data which often possesses temporal and high-dimensional characteristics. Ensuring the data ...
IEEE4d
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 ...
GitHub25d
TransMamba: Time-Frequency Discriminative Feature Learning for Multivariate Time Series Anomaly Detection - GitHub
TransMamba: Time-Frequency Discriminative Feature Learning for Multivariate Time Series Anomaly Detection This repository contains the official PyTorch implementation of our paper: "TransMamba: ...