Md Abrar Jahin

Orcid: 0000-0002-1623-3859

According to our database1, Md Abrar Jahin authored at least 34 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Online presence:

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Bibliography

2025
Ultrasound-based AI for COVID-19 detection: a comprehensive review of public and private lung ultrasound datasets and studies.
Multim. Tools Appl., October, 2025

Reinforcement-Guided Hyper-Heuristic Hyperparameter Optimization for Fair and Explainable Spiking Neural Network-Based Financial Fraud Detection.
CoRR, August, 2025

Stabilizing Federated Learning under Extreme Heterogeneity with HeteRo-Select.
CoRR, August, 2025

DyCAF-Net: Dynamic Class-Aware Fusion Network.
CoRR, August, 2025

Physics-Informed Graph Neural Networks for Transverse Momentum Estimation in CMS Trigger Systems.
CoRR, July, 2025

AdeptHEQ-FL: Adaptive Homomorphic Encryption for Federated Learning of Hybrid Classical-Quantum Models with Dynamic Layer Sparing.
CoRR, July, 2025

MCDFN: supply chain demand forecasting via an explainable multi-channel data fusion network model.
Evol. Intell., June, 2025

Vision Transformers for End-to-End Quark-Gluon Jet Classification from Calorimeter Images.
CoRR, June, 2025

Quantum-Informed Contrastive Learning with Dynamic Mixup Augmentation for Class-Imbalanced Expert Systems.
CoRR, June, 2025

Soybean Disease Detection via Interpretable Hybrid CNN-GNN: Integrating MobileNetV2 and GraphSAGE with Cross-Modal Attention.
CoRR, March, 2025

CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection.
CoRR, March, 2025

KACQ-DCNN: Uncertainty-Aware Interpretable Kolmogorov-Arnold Classical-Quantum Dual-Channel Neural Network for Heart Disease Detection.
Comput. Biol. Medicine, 2025

CAGN-GAT Fusion: A Hybrid Contrastive Attentive Graph Neural Network for Network Intrusion Detection.
Proceedings of the Advances and Trends in Artificial Intelligence. Theory and Applications, 2025

2024
Container Handling Strategy Dataset: Efficiency Analysis in Dockyard Operations.
Dataset, March, 2024

A Unified Framework for Evaluating the Effectiveness and Enhancing the Transparency of Explainable AI Methods in Real-World Applications.
CoRR, 2024

DGNN-YOLO: Dynamic Graph Neural Networks with YOLO11 for Small Object Detection and Tracking in Traffic Surveillance.
CoRR, 2024

Designing Cellular Manufacturing System in Presence of Alternative Process Plans.
CoRR, 2024

Solving Generalized Grouping Problems in Cellular Manufacturing Systems Using a Network Flow Model.
CoRR, 2024

Human-in-the-Loop Feature Selection Using Interpretable Kolmogorov-Arnold Network-based Double Deep Q-Network.
CoRR, 2024

Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination.
CoRR, 2024

Lorentz-Equivariant Quantum Graph Neural Network for High-Energy Physics.
CoRR, 2024

TriQXNet: Forecasting Dst Index from Solar Wind Data Using an Interpretable Parallel Classical-Quantum Framework with Uncertainty Quantification.
CoRR, 2024

Optimizing Container Loading and Unloading through Dual-Cycling and Dockyard Rehandle Reduction Using a Hybrid Genetic Algorithm.
CoRR, 2024

MCDFN: Supply Chain Demand Forecasting via an Explainable Multi-Channel Data Fusion Network Model Integrating CNN, LSTM, and GRU.
CoRR, 2024

TRABSA: Interpretable Sentiment Analysis of Tweets using Attention-based BiLSTM and Twitter-RoBERTa.
CoRR, 2024

Analyzing Male Domestic Violence through Exploratory Data Analysis and Explainable Machine Learning Insights.
CoRR, 2024

Ergonomic Design of Computer Laboratory Furniture: Mismatch Analysis Utilizing Anthropometric Data of University Students.
CoRR, 2024

Analysis of Internet of Things implementation barriers in the cold supply chain: an integrated ISM-MICMAC and DEMATEL approach.
CoRR, 2024

AI in Supply Chain Risk Assessment: A Systematic Literature Review and Bibliometric Analysis.
CoRR, 2024

2023
Unlocking Musculoskeletal Disorder Risk Factors: NLP-Based Classification and Mode-Based Ranking.
CoRR, 2023

Exploring Internet of Things Adoption Challenges in Manufacturing Firms: A Fuzzy Analytical Hierarchy Process Approach.
CoRR, 2023

Big Data - Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques.
CoRR, 2023

QAmplifyNet: Pushing the Boundaries of Supply Chain Backorder Prediction Using Interpretable Hybrid Quantum - Classical Neural Network.
CoRR, 2023

2021
DIT4BEARs Smart Roads Internship.
CoRR, 2021


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