Mohammad Zoynul Abedin
Orcid: 0000-0002-4688-0619
According to our database1,
Mohammad Zoynul Abedin
authored at least 16 papers
between 2019 and 2024.
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Bibliography
2024
Blockchain and Digital Asset Transactions- Based Carbon Emissions Trading Scheme for Industrial Internet of Things.
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.
Ann. Oper. Res., January, 2024
2023
Inf. Syst. Frontiers, October, 2023
Deep learning applications in manufacturing operations: a review of trends and ways forward.
J. Enterp. Inf. Manag., 2023
Int. J. Prod. Res., 2023
2022
Privacy-Preserved Credit Data Sharing Integrating Blockchain and Federated Learning for Industrial 4.0.
IEEE Trans. Ind. Informatics, 2022
Data transformation based optimized customer churn prediction model for the telecommunication industry.
CoRR, 2022
Feature Transformation for Corporate Tax Default Prediction: Application of Machine Learning Approaches.
Asia Pac. J. Oper. Res., 2022
Convolutional Neural Network Model to Detect COVID-19 Patients Utilizing Chest X-Ray Images.
Proceedings of the Machine Intelligence and Emerging Technologies, 2022
2021
IEEE Access, 2021
Investigating External Audit Records to Detect Fraudulent Firms Employing Various Machine Learning Methods.
Proceedings of the Seventh International Conference on Mathematics and Computing, 2021
2020
A Profit Function-Maximizing Inventory Backorder Prediction System Using Big Data Analytics.
IEEE Access, 2020
Towards Improved Detection of Cognitive Performance Using Bidirectional Multilayer Long-Short Term Memory Neural Network.
Proceedings of the Brain Informatics - 13th International Conference, 2020
2019
Hybrid Model for Credit Risk Prediction: An Application of Neural Network Approaches.
Int. J. Artif. Intell. Tools, 2019
Weighted SMOTE-Ensemble Algorithms: Evidence from Chinese Imbalance Credit Approval Instances.
Proceedings of the 2nd International Conference on Data Intelligence and Security, 2019