IEEE

Machine Learning-Based Anomaly Detection of Correlated Sensor Data: An Integrated Principal Component Analysis-Autoencoder Approach

Abstract: This research proposes a lightweight hybrid approach for anomaly detection in correlated IoT sensor data, combining PCA for fast monitoring and Autoencoders for deeper analysis. Validated on ...
IEEE

Ensembled Machine Learning Approaches for Software Defect Prediction with Autoencoder Feature Selection

Abstract: Software Defect Prediction models make predictions about the probability of defective modules in a software package by using historical software data like code complexity metrics and prior ...