174 citations
- M. F. Mridha3 profiles14 · h 13
- Md Abrar Jahin2 profiles13 · h 10
- Md. Saiful Islam2 profiles5 · h 3
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- Khulna University of Engineering and TechnologyBD9 papers
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- Multimedia UniversityMY4 papers
- University of Southern CaliforniaUS4 papers
- University of AizuJP3 papers
- Islamic University of TechnologyBD2 papers
- Okinawa Institute of Science and Technology Graduate UniversityJP2 papers
- Techno India UniversityIN2 papers
- United International UniversityBD2 papers
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9 papers · 1 filter
AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing
Md Abrar Jahin, Taufikur Rahman Fuad, M. F. Mridha +2
Federated Learning (FL) faces inherent challenges in balancing model performance, privacy preservation, and communication efficiency, especially in non-IID decentralized environmen…
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…
A deep learning and machine learning approach to predict neonatal death in the context of São Paulo
Mohon Raihan, Plabon Kumar Saha, Rajan Das Gupta +6
Neonatal death is still a concerning reality for underdeveloped and even some developed countries. Worldwide data indicate that 26.693 babies out of 1,000 births die, according to…
Human-in-the-Loop Feature Selection Using Interpretable Kolmogorov-Arnold Network-based Double Deep Q-Network
Md Abrar Jahin, M. F. Mridha, Nilanjan Dey +1
Feature selection is critical for improving the performance and interpretability of machine learning models, particularly in high-dimensional spaces where complex feature interacti…
Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics
Md Abrar Jahin, Md. Akmol Masud, Md Wahiduzzaman Suva +2
The rapid data surge from the high-luminosity Large Hadron Collider introduces critical computational challenges requiring novel approaches for efficient data processing in particl…
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…