7 citations · 8 across the 5 of their papers we have counts for
3 papers · 1 filter
nCMD: Benign-Anchored Feature Selection for Imbalanced Network Intrusion Detection
Abu Fuad Ahmad, Istiaque Ahmed
Feature selection is critical for network intrusion detection systems (NIDS) operating under high-dimensional, highly imbalanced traffic, as found in operational and defense networ…
Machine Learning for Missing Value Imputation
Abu Fuad Ahmad, Khaznah Alshammari, Istiaque Ahmed +1
In recent times, a considerable number of research studies have been carried out to address the issue of Missing Value Imputation (MVI). MVI aims to provide a primary solution for…
Impact of Missing Values in Machine Learning: A Comprehensive Analysis
Abu Fuad Ahmad, Md Shohel Sayeed, Khaznah Alshammari +1
Machine learning (ML) has become a ubiquitous tool across various domains of data mining and big data analysis. The efficacy of ML models depends heavily on high-quality datasets,…