16 papers
ChronoSpike: An Adaptive Spiking Graph Neural Network for Dynamic Graphs
Md Abrar Jahin, Taufikur Rahman Fuad, Jay Pujara +1
Dynamic graph representation learning requires capturing both structural relations and temporal evolution, yet existing approaches face a core trade-off: attention-based methods of…
Physics-Informed Graph Neural Networks for Transverse Momentum Estimation in CMS Trigger Systems
Md Abrar Jahin, Shahriar Soudeep, M. F. Mridha +2
Real-time particle transverse momentum () estimation in high-energy physics demands algorithms that are both efficient and accurate under strict hardware constraints. Static m…
TriQXNet: Forecasting Dst Index from Solar Wind Data Using an Interpretable Parallel Classical-Quantum Framework with Uncertainty Quantification
Md Abrar Jahin, M. F. Mridha, Zeyar Aung +2
Geomagnetic storms, caused by solar wind energy transfer to Earth's magnetic field, can disrupt critical infrastructure like GPS, satellite communications, and power grids. The dis…
Optimizing Container Loading and Unloading through Dual-Cycling and Dockyard Rehandle Reduction Using a Hybrid Genetic Algorithm
Md. Mahfuzur Rahman, Md Abrar Jahin, Md. Saiful Islam +1
This paper addresses the NP-hard problem of optimizing container handling at ports by integrating Quay Crane Dual-Cycling (QCDC) and dockyard rehandle minimization. We realized tha…
Predicting Male Domestic Violence Using Explainable Ensemble Learning and Exploratory Data Analysis
Md Abrar Jahin, Saleh Akram Naife, Fatema Tuj Johora Lima +2
Domestic violence is commonly viewed as a gendered issue that primarily affects women, which tends to leave male victims largely overlooked. This study presents a novel, data-drive…
Big Data$\unicode{x2013}$Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques
Md Abrar Jahin, Md Sakib Hossain Shovon, Jungpil Shin +2
This article intends to systematically identify and comparatively analyze state-of-the-art supply chain (SC) forecasting strategies and technologies. A novel framework has been pro…