Mohammad Zoynul Abedin
Orcid: 0000-0002-4688-0619
According to our database1,
Mohammad Zoynul Abedin
authored at least 39 papers
between 2019 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2025
Ann. Oper. Res., July, 2025
Implication of 'camera eats first' construct: unraveling the potentials of digital images in social media on information sharing.
Electron. Commer. Res., June, 2025
An interpretable system for predicting the impact of COVID-19 government interventions on stock market sectors.
Ann. Oper. Res., April, 2025
Ann. Oper. Res., April, 2025
The impacts of green credit guidelines on total factor productivity of heavy-polluting enterprises: A quasi-natural experiment from China.
Ann. Oper. Res., April, 2025
Ann. Oper. Res., April, 2025
Prediction and decoding of metaverse coin dynamics: a granular quest using MODWT-Facebook's prophet-TBATS and XAI methodology.
Ann. Oper. Res., March, 2025
Ann. Oper. Res., February, 2025
Dynamic nonlinear connectedness between the green bonds, clean energy, and stock price: the impact of the COVID-19 pandemic.
Ann. Oper. Res., February, 2025
Ann. Oper. Res., February, 2025
Blockchain and Machine Learning in the Green Economy: Pioneering Carbon Neutrality Through Innovative Trading Technologies.
IEEE Trans. Engineering Management, 2025
WFFS - An ensemble feature selection algorithm for heterogeneous traffic accident data analysis.
Knowl. Based Syst., 2025
An intelligent predictive framework for consumer returns forecasting: Leveraging social media data in the electronics service industry.
Adv. Eng. Informatics, 2025
Stability analysis of smart product service ecosystem based on CN-PF-ORESTE combination model.
Adv. Eng. Informatics, 2025
2024
Deep-learning model using hybrid adaptive trend estimated series for modelling and forecasting sales.
Ann. Oper. Res., August, 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
Toward Trustworthy Governance of AI-Generated Content (AIGC): A Blockchain-Driven Regulatory Framework for Secure Digital Ecosystems.
IEEE Trans. Engineering Management, 2024
Diffusion prediction of competitive information with time-varying attractiveness in social networks.
Inf. Process. Manag., 2024
Predicting financial distress using multimodal data: An attentive and regularized deep learning method.
Inf. Process. Manag., 2024
Enhancing cardiovascular risk assessment with advanced data balancing and domain knowledge-driven explainability.
Expert Syst. Appl., 2024
An explainable federated learning and blockchain-based secure credit modeling method.
Eur. J. Oper. Res., 2024
Sentiment classification of time-sync comments: A semi-supervised hierarchical deep learning method.
Eur. J. Oper. Res., 2024
Application of deep learning for automatic detection of table tennis balls from an intelligent serving machine.
Appl. Soft Comput., 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