Future mobile networks cannot migrate uniformly to post-quantum cryptography because long-lived trust anchors, constrained devices, external partners, edge services, slices, and non-terrestrial paths have different threats and deployment limits. This paper presents the Telecom Quantum-Safe Migration Framework (T-QSMF),...
Accurate staging of liver fibrosis is critical for guiding antifibrotic therapy and predicting disease prognosis. Liver biopsy, the current reference standard, is invasive, costly, and subject to significant sampling error. Although T2-weighted MRI and B-mode ultrasound offer established noninvasive alternatives, exist...
Raufu Umme Rhidi, Ferdaus Anam Jibon, Farhan Shahriar et al.· Journal of Umm Al-Qura Unive...· 0 citations
This study develops an explainable survival-analysis framework for predicting time to first observed dementia and evaluates whether DeepSurv, a neural-network-based survival model, offers predictive and decision-support advantages over conventional Cox proportional hazards (Cox PH) regression. We analyzed longitudinal...
Ashrafe Alam, Md Golam Rabbani, Gahangir Hossain et al.· International journal of bus...· 0 citations
Diabetic Retinopathy (DR) is a leading cause of preventable blindness, and it is important to accurately detect it as early as possible, as well as to measure the severity to provide early clinical indicators. Fundus image assessment in the manual mode is subjective and labor-intensive, and is hard to scale, which has...
Muradul Islam, Marisa Parvez Oishy, Ferdaus Anam Jibon et al.· Microvascular Research· 0 citations
This study covers foundational concepts for enhancing plan-execution flexibility, including partial-order planning, the producer-consumer-threat formalism, and a range of deordering and reordering strategies. Creating a partial-order plan from a sequential one by removing unnecessary ordering constraints is a practical...
Md Monjurul Islam, Sabah Binte Noor, Fazlul Hasan Siddiqui et al.· 0 citations
This paper introduces an interactive educational framework that reimagines cybersecurity awareness through the lens of a structured guessing game, and integrates explainable artificial intelligence (XAI) principles with reinforcement learning to create a dynamic learning environment where users discover cybersecurity c...
Mary Nusrat, Sarfuddin Bhuiyan, Gahangir Hossain· 5 citations
This study presents a deep learning framework that leverages EEG-derived time–frequency images and convolutional neural networks (CNNs) for robust, non-invasive classification of dementia subtypes, and consistently outperforms all baseline methods across accuracy, precision, recall, and F1-score.
