Intrusion Detection and Attack Classification Leveraging Machine Learning Technique. - Shahtaj Shaukat; Arshid Ali; Amreen Batool; Fehaid Alqahtani; Jan Sher Khan; Arshad Ali 003; Jawad Ahmad 001 (IIT, 2020)

A Novel Approach for Classifying Diabetes' Patients Based on Imputation and Machine Learning. - Kaouthar Driss; Wadii Boulila; Amreen Batool; Jawad Ahmad 001 (UCET, 2020)

Convergence of 5G with Internet of Things for Enhanced Privacy. - Amreen Batool; Baoshan Sun; Ali Saleem; Jawad Ali (CoRR, 2021)

An Ensemble Architecture Based on Deep Learning Model for Click Fraud Detection in Pay-Per-Click Advertisement Campaign. - Amreen Batool; Yung-Cheol Byun (IEEE Access, 2022)

Augmented Intelligence Assisted Deep Learning Approach for Multi-Class Skin Cancer Classification. - Amreen Batool; Yung-Cheol Byun (NiDS (1), 2023)

Lightweight EfficientNetB3 Model Based on Depthwise Separable Convolutions for Enhancing Classification of Leukemia White Blood Cell Images. - Amreen Batool; Yung-Cheol Byun (IEEE Access, 2023)

Toward Improving Breast Cancer Classification Using an Adaptive Voting Ensemble Learning Algorithm. - Amreen Batool; Yung-Cheol Byun (IEEE Access, 2024)

Enhanced Sentiment Analysis and Topic Modeling During the Pandemic Using Automated Latent Dirichlet Allocation. - Amreen Batool; Yung-Cheol Byun (IEEE Access, 2024)

Brain tumor detection with integrating traditional and computational intelligence approaches across diverse imaging modalities - Challenges and future directions. - Amreen Batool; Yung-Cheol Byun (Comput. Biol. Medicine, 2024)

An enhanced lightweight T-Net architecture based on convolutional neural network (CNN) for tomato plant leaf disease classification. - Amreen Batool; Jisoo Kim; Sang-Joon Lee; Jihyeok Yang; Yung-Cheol Byun (PeerJ Comput. Sci., 2024)

A Robust Deep Learning Framework for Mitigating Label Noise With Dual Selective Attention. - Hasnain Hyder; Gulsher Baloch; Amreen Batool; Yong-Woon Kim; Yung-Cheol Byun (IEEE Access, 2025)