Information Divergence Based Saliency Detection with a Global Center-Surround Mechanism. - Ibrahim M. H. Rahman; Christopher Hollitt; Mengjie Zhang 001 (ICPR, 2014)

A dynamic feature map integration approach for predicting human fixation. - Ibrahim M. H. Rahman; Christopher Hollitt; Mengjie Zhang 001 (IVCNZ, 2016)

Contextual-based top-down saliency feature weighting for target detection. - Ibrahim M. H. Rahman; Christopher Hollitt; Mengjie Zhang 001 (Mach. Vis. Appl., 2016)

Feature Map Quality Score Estimation Through Regression. - Ibrahim M. H. Rahman; Christopher Hollitt; Mengjie Zhang 001 (IEEE Trans. Image Process., 2018)

Visual attention strategies for target object detection. - Ibrahim M. H. Rahman (2018)

IoT Powered Cancer Observation System. - Osama Rehman; Zaroon Farrukh; Asiya Al-Busaidi; Kyung Jin Cha; Simon Jigwan Park; Ibrahim M. H. Rehman (SMA, 2020)

Improving Discriminating Accuracy Rate of DDoS Attacks and Flash Events. - Sahareesh Agha; Osama Rehman; Ibrahim M. H. Rahman (Int. J. Cyber Warf. Terror., 2021)

Impact of Features Reduction on Machine Learning Based Intrusion Detection Systems. - Masooma Fatima; Osama Rehman; Ibrahim M. H. Rahman (EAI Endorsed Trans. Scalable Inf. Syst., 2022)

Li-IDS: An Approach Towards a Lightweight IDS for Resource-Constrained IoT. - Mahawish Fatima; Osama Rehman; Ibrahim M. H. Rehman (SmartNets, 2023)

Top-Down Target Object Detection Through Context. - Ibrahim M. H. Rahman; Christopher Hollitt; Mengjie Zhang 001; Osama Rehman; Aisha Ajmal; Simon Jigwan Park (IVCNZ, 2024)

Towards Ensemble Feature Selection for Lightweight Intrusion Detection in Resource-Constrained IoT Devices. - Mahawish Fatima; Osama Rehman; Ibrahim M. H. Rahman; Aisha Ajmal; Simon Jigwan Park (Future Internet, 2024)