Real-time anomaly detection system using best performed machine learning model

Decision-tree-based machine learning for detecting coffee agroforestry using SPOT-7

I. M. Khrisna Yoga Devandra, I Nengah Surati Jaya, T. Tiryana

Classification of P300 event-related potentials using SNN, CNN and LSTM deep learning models

Ahlaam M. Saed, Ibtihal Fawzi El-Shami, Ali I. Elgayar

Comparative evaluation of classical and machine learning methods for medical image enhancement

Md. Mehedi Hasan, Sujon Chandra Sutradhar, Zannatul Ferdushie, Rabeya Basri

Acoustic and vibration side channel analysis on post-quantum cryptography using image-based deep learning

Abdul Haris Muhammad, Gamaria Mandar, Adelina Ibrahim

A Rigorous Comparative Study of Supervised Machine Learning Techniques for Network Anomaly Detection: Empirical Insights from the UNSW-NB15 Dataset

Nouf Alkhater

The increasing complexity of modern network infrastructures has intensified the need for reliable and efficient intrusion detection systems. While advanced deep learning approaches have demonstrated strong performance, their high computational cost and limited interpretability re…Read more