Md. Abrar Jahin

According to our database, Md. Abrar Jahin authored at least 17 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Container Handling Strategy Dataset: Efficiency Analysis in Dockyard Operations.

Md. Abrar Jahin, Md. Mahfuzur Rahman

Dataset, March, 2024

Quantum Rationale-Aware Graph Contrastive Learning for Jet Discrimination.

Md. Abrar Jahin, Md. Akmol Masud, M. F. Mridha, Nilanjan Dey

CoRR, 2024

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

Md. Abrar Jahin, Md. Akmol Masud, Md Wahiduzzaman Suva, M. F. Mridha, Nilanjan Dey

CoRR, 2024

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

Md. Abrar Jahin, Md. Akmol Masud, Muhammad Firoz Mridha, Zeyar Aung, Nilanjan Dey

CoRR, 2024

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

Md. Abrar Jahin, Muhammad Firoz Mridha, Zeyar Aung, Nilanjan Dey, R. Simon Sherratt

CoRR, 2024

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, Muhammad Firoz Mridha

CoRR, 2024

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

Md. Abrar Jahin, Asef Shahriar, Md. Al Amin

CoRR, 2024

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

Md. Abrar Jahin, Md Sakib Hossain Shovon, Muhammad Firoz Mridha

CoRR, 2024

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

Md. Abrar Jahin, Saleh Akram Naife, Fatema Tuj Johora Lima, Muhammad Firoz Mridha, Jungpil Shin

CoRR, 2024

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

Anik Kumar Saha, Md. Abrar Jahin, Md. Rafiquzzaman, Muhammad Firoz Mridha

CoRR, 2024

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

Kazrin Ahmad, Md. Saiful Islam, Md. Abrar Jahin, Muhammad Firoz Mridha

CoRR, 2024

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

Md. Abrar Jahin, Saleh Akram Naife, Anik Kumar Saha, Muhammad Firoz Mridha

CoRR, 2024

2023

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

Md. Abrar Jahin, Subrata Talapatra

CoRR, 2023

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

Hasan Shahriar, Md. Saiful Islam, Md. Abrar Jahin, Istiyaque Ahmed Ridoy, Taro Suzuki, Jungpil Shin

CoRR, 2023

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

Md. Abrar Jahin, Md Sakib Hossain Shovon, Jungpil Shin, Istiyaque Ahmed Ridoy, Yoichi Tomioka, Muhammad Firoz Mridha

CoRR, 2023

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

Md. Abrar Jahin, Md Sakib Hossain Shovon, Md. Saiful Islam, Jungpil Shin, Muhammad Firoz Mridha, Yuichi Okuyama

CoRR, 2023

2021

DIT4BEARs Smart Roads Internship.

Md. Abrar Jahin, Andrii Krutsylo

CoRR, 2021