IEEE

Detecting Network Transmission Anomalies using Autoencoders-SVM Neural Network on Multi-class NSL-KDD Dataset

Abstract: As modern manufacturing shifts towards industry 4.0, mass adoption of vulnerable Internet-of- Things (IoT), Operational Technology (OT), and IT -OT convergence have precipitated the rise of ...
IEEE

Learning Entirely Unknown Classes in Time-Series Data Using Convolutional Neural Networks for Insulation Status Assessment of Partial Discharges in Power Cable Joints

Abstract: In this study, a method for supervised learning comprising a convolutional neural network (CNN) and sliding-window threshold is proposed for data with completely unknown categories. The ...