IEEE

Hybrid Feature Selection for Efficient Machine Learning-Based Intrusion Detection in IoT Networks

Abstract: The expansion of Internet of Things (IoT) infrastructure has increased data dimensionality, creating challenges for intrusion detection systems (IDS) in resource-constrained environments.
IEEE

Medical Hyperspectral Image Feature Selection Framework Using Functional Data Analysis: Application to Membranous Nephropathy Pathologic Diagnosis

Abstract: To address the core issue of high-dimensional data processing in hyperspectral pathological diagnosis, we develop a new feature selection framework using functional data analysis (FSFDA).