Mohammad Zoynul Abedin

According to our database, Mohammad Zoynul Abedin authored at least 25 papers between 2019 and 2024.

Collaborative distances:

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

2024

Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales.

Md. Iftekharul Alam Efat, Petr Hájek, Mohammad Zoynul Abedin, Rahat Uddin Azad, Md. Al Jaber, Shuvra Aditya, Mohammad Kabir Hassan

Ann. Oper. Res., August, 2024

Blockchain and Digital Asset Transactions- Based Carbon Emissions Trading Scheme for Industrial Internet of Things.

Fan Yang, Yanan Qiao, Junge Bo, Lvyang Ye, Mohammad Zoynul Abedin

IEEE Trans. Ind. Informatics, April, 2024

Correction: Investigation of key performance indicators for performance management of the manufacturing industry in the era of the COVID-19 pandemic.

Sajneen Akter Munmun, Md. Abdul Moktadir, Sunil Tiwari, Mohammad Zoynul Abedin, Charbel José Chiappetta Jabbour

Ann. Oper. Res., January, 2024

Toward Trustworthy Governance of AI-Generated Content (AIGC): A Blockchain-Driven Regulatory Framework for Secure Digital Ecosystems.

Fan Yang, Mohammad Zoynul Abedin, Yanan Qiao, Lvyang Ye

IEEE Trans. Engineering Management, 2024

Diffusion prediction of competitive information with time-varying attractiveness in social networks.

Xiaojun Liu, Narisa Zhao, Wei Wei, Mohammad Zoynul Abedin

Inf. Process. Manag., 2024

Predicting financial distress using multimodal data: An attentive and regularized deep learning method.

Wanliu Che, Zhao Wang, Cuiqing Jiang, Mohammad Zoynul Abedin

Inf. Process. Manag., 2024

Enhancing cardiovascular risk assessment with advanced data balancing and domain knowledge-driven explainability.

Fan Yang, Yanan Qiao, Petr Hájek, Mohammad Zoynul Abedin

Expert Syst. Appl., 2024

An explainable federated learning and blockchain-based secure credit modeling method.

Fan Yang, Mohammad Zoynul Abedin, Petr Hájek

Eur. J. Oper. Res., 2024

Sentiment classification of time-sync comments: A semi-supervised hierarchical deep learning method.

Renzhi Gao, Xiaoyu Yao, Zhao Wang, Mohammad Zoynul Abedin

Eur. J. Oper. Res., 2024

Explainable AI for enhanced decision-making.

Kristof Coussement, Mohammad Zoynul Abedin, Mathias Kraus, Sebastián Maldonado, Kazim Topuz

Decis. Support Syst., 2024

Application of deep learning for automatic detection of table tennis balls from an intelligent serving machine.

Tao Ning, Meng Fu, Yuzhe Wang, Xiaodong Duan, Mohammad Zoynul Abedin

Appl. Soft Comput., 2024

2023

Fraud Detection in Mobile Payment Systems using an XGBoost-based Framework.

Petr Hájek, Mohammad Zoynul Abedin, Uthayasankar Sivarajah

Inf. Syst. Frontiers, October, 2023

Deep learning applications in manufacturing operations: a review of trends and ways forward.

Saumyaranjan Sahoo, Satish Kumar, Mohammad Zoynul Abedin, Weng Marc Lim, Suresh Kumar Jakhar

J. Enterp. Inf. Manag., 2023

Product backorder prediction using deep neural network on imbalanced data.

Md Shajalal, Petr Hájek, Mohammad Zoynul Abedin

Int. J. Prod. Res., 2023

2022

Privacy-Preserved Credit Data Sharing Integrating Blockchain and Federated Learning for Industrial 4.0.

Fan Yang, Yanan Qiao, Mohammad Zoynul Abedin, Cheng Huang

IEEE Trans. Ind. Informatics, 2022

Data transformation based optimized customer churn prediction model for the telecommunication industry.

Joydeb Kumar Sana, Mohammad Zoynul Abedin, M. Sohel Rahman, Mohammad Saifur Rahman

CoRR, 2022

Feature Transformation for Corporate Tax Default Prediction: Application of Machine Learning Approaches.

Mohammad Zoynul Abedin, M. Kabir Hassan, Md. Imran Khan, Ivan F. Julio

Asia Pac. J. Oper. Res., 2022

A Systematic Review of Blockchain Applications.

Farhana Akter Sunny, Petr Hájek, Michal Munk, Mohammad Zoynul Abedin, Md. Shahriare Satu, Md. Iftekharul Alam Efat, Md. Jahidul Islam

IEEE Access, 2022

Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-Ray Images.

Md. Shahriare Satu, Khair Ahammed, Mohammad Zoynul Abedin, Md. Auhidur Rahman, Sheikh Mohammed Shariful Islam, A. K. M. Azad, Salem A. Alyami, Mohammad Ali Moni

Proceedings of the Machine Intelligence and Emerging Technologies, 2022

2021

Tax Default Prediction Using Feature Transformation-Based Machine Learning.

Mohammad Zoynul Abedin, Guotai Chi, Mohammed Mohi Uddin, Md. Shahriare Satu, Md. Imran Khan, Petr Hájek

IEEE Access, 2021

Investigating External Audit Records to Detect Fraudulent Firms Employing Various Machine Learning Methods.

Farhana Akter Sunny, Md. Imran Khan, Md. Shahriare Satu, Mohammad Zoynul Abedin

Proceedings of the Seventh International Conference on Mathematics and Computing, 2021

2020

A Profit Function-Maximizing Inventory Backorder Prediction System Using Big Data Analytics.

Petr Hájek, Mohammad Zoynul Abedin

IEEE Access, 2020

Towards Improved Detection of Cognitive Performance Using Bidirectional Multilayer Long-Short Term Memory Neural Network.

Md. Shahriare Satu, Shelia Rahman, Md. Imran Khan, Mohammad Zoynul Abedin, M. Shamim Kaiser, Mufti Mahmud

Proceedings of the Brain Informatics - 13th International Conference, 2020

2019

Hybrid Model for Credit Risk Prediction: An Application of Neural Network Approaches.

Guotai Chi, Mohammad Shamsu Uddin, Mohammad Zoynul Abedin, Kunpeng Yuan

Int. J. Artif. Intell. Tools, 2019

Weighted SMOTE-Ensemble Algorithms: Evidence from Chinese Imbalance Credit Approval Instances.

Mohammad Zoynul Abedin, Guotai Chi, Fahmida E. Moula

Proceedings of the 2nd International Conference on Data Intelligence and Security, 2019