Farag, K., Ali, L., & Hamada, M. A.
(2026).
Hybrid Machine Learning–Econometric Framework for Financial Distress Scoring: Evidence from German Manufacturing Firms.
FinTech, 5(1).
https://doi.org/10.3390/fintech5010017
Q1Open Access
Hamada, M. A., Farag, K., & Abiche, A. E.
(2025).
Early Prediction Detection of Retail and Corporate Credit Risks Using Machine Learning Algorithms.
Emerging Science Journal, 9(2), 995–1012.
https://doi.org/10.28991/ESJ-2025-09-02-025
Q1Cited by 3Open Access
Kasem, M. S., Hamada, M., & Taj-Eddin, I.
(2024).
Customer profiling, segmentation, and sales prediction using AI in direct marketing.
Neural Computing and Applications, 36(9), 4995–5005.
https://doi.org/10.1007/s00521-023-09339-6
Q1Cited by 106Open Access
Kasem, M. S., Abdallah, A., Berendeyev, A., Elkady, E., Mahmoud, M., Abdalla, M., Hamada, M., Vascon, S., Nurseitov, D., & Taj-Eddin, I.
(2024).
Deep Learning for Table Detection and Structure Recognition: A Survey.
ACM Computing Surveys, 56(12).
https://doi.org/10.1145/3657281
Q1Cited by 23Open Access
Hassanin, M. E., & Hamada, M. A.
(2022).
A Big Data strategy to reinforce self-sustainability for pharmaceutical companies in the digital transformation era: A case study of Egyptian pharmaceutical companies.
African Journal of Science, Technology, Innovation and Development, 14(7), 1870–1882.
https://doi.org/10.1080/20421338.2021.1988409
Q2Cited by 13
Hamada, M. A., & Akzambekkyzy, A.
(2022).
Innovative governance strategy to enhance the performance and the efficiency of IT project management activities.
International Journal of Project Organisation and Management, 14(2), 144–175.
https://doi.org/10.1504/IJPOM.2022.124128
Q3Cited by 5
Abdallah, A., Hamada, M., & Nurseitov, D.
(2020).
Attention-based fully gated cnn-bgru for russian handwritten text.
Journal of Imaging, 6(12).
https://doi.org/10.3390/jimaging6120141
Q1Cited by 41Open Access
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Conference Paper
19
Hamada, G. M., & Hamada, M. A.
(2025).
Intelligence Approach to Develop a Big Data Analytical Model for Strategic Management in Companies.
Procedia Computer Science, 272, 483–488.
https://doi.org/10.1016/j.procs.2025.10.235
Q2Open Access
Hamada, M. A., & Hamada, G. M.
(2025).
The Role of Big Data Analytics in Reinforcing the Business Sustainability of Enterprises.
Eurasia Proceedings of Science, Technology, Engineering and Mathematics, 36, 207–219.
https://doi.org/10.55549/epstem.1172
Q4Open Access
Hamada, M., Abiche, A., & Hamada, G.
(2025).
Using the machine learning models to optimize time management in logistics and supply chain management systems.
CEUR Workshop Proceedings, 3966.
https://doi.org/nan
Q4
Hamada, M. A., & Abiche, A. E.
(2024).
Impact of Data Mining and Social Media Marketing to Enrich Customer Satisfaction.
CEUR Workshop Proceedings, 3680.
https://doi.org/nan
Q4
Hamada, M. A., Tolkyn, O., & Hamada, G. M.
(2024).
Leveraging Geographic Information Systems and Remote Sensing for Enhanced Water Resource Management in Kazakhstan.
Proceedings - 4th International Conference on Technological Advancements in Computational Sciences, ICTACS 2024, 1287–1292.
https://doi.org/10.1109/ICTACS62700.2024.10840765
Hamada, M. A.
(2024).
Machine Learning Model to Enhance the Quality of Software Development Risk Management.
14th IEEE International Conference on Control System, Computing and Engineering, ICCSCE 2024 - Proceedings, 265–270.
https://doi.org/10.1109/ICCSCE61582.2024.10696209
Cited by 3
Murat, Y., & Hamada, M. A.
(2023).
Analysis of Machine Learning Method in Logistic Systems.
Proceedings of the 2nd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2023, 265–268.
https://doi.org/10.1109/ICAAIC56838.2023.10140591
Cited by 2
Hamada, M. A., & Alhyasat, K. M. K.
(2023).
Artificial Intelligence Technology to Predict the Financial Crisis in Business Companies.
Eurasia Proceedings of Science, Technology, Engineering and Mathematics, 24, 71–82.
https://doi.org/10.55549/epstem.1406233
Q4Open Access
Zhailybayevich, Z. K., & Hamada, M. A.
(2023).
Development of a Predictive Intellectual Model for Predicting the Financial Crisis in Banks.
Proceedings of the 2nd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2023, 661–665.
https://doi.org/10.1109/ICAAIC56838.2023.10140628
Cited by 3
Hamada, M. A.
(2023).
Investigate the Efficiency of Project Management Software in Construction Projects.
Eurasia Proceedings of Science, Technology, Engineering and Mathematics, 22, 247–257.
https://doi.org/10.55549/epstem.1350951
Q4Cited by 3Open Access
Hamada, M. A.
(2023).
Neural Network Intelligence Model for Software Projects Cost Prediction.
Proceedings of the IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS, 686–691.
https://doi.org/10.1109/IDAACS58523.2023.10348828
Q3Cited by 2
Hamada, M. A., & Abiche, A. E.
(2022).
Adopting Data Mining and Social Media Analytics to Achieve Customer Satisfaction.
CEUR Workshop Proceedings, 3382.
https://doi.org/nan
Q4
Kudaibergen, T., & Hamada, M. A.
(2022).
Application of Deep Convolutional Generative Adversarial Network for Russian Handwritten Text Recognition.
CEUR Workshop Proceedings, 3382.
https://doi.org/nan
Q4
Shamuratov, B., & Hamada, M. A.
(2022).
Comparative Analysis of Modern Methods of Software Risk Management for IT/IS Projects.
CEUR Workshop Proceedings, 3382.
https://doi.org/nan
Q4
Hamada, M. A., Abdallah, A., Kasem, M., & Abokhalil, M.
(2021).
Neural Network Estimation Model to Optimize Timing and Schedule of Software Projects.
SIST 2021 - 2021 IEEE International Conference on Smart Information Systems and Technologies.
https://doi.org/10.1109/SIST50301.2021.9465887
Cited by 16
Nygiyeva, A., Zhumaly, A., Soltanbayeva, A., Maksat, S., & Hamada, M. A.
(2021).
The Role of Management Information Systems and Technology on Business Profitability.
SIST 2021 - 2021 IEEE International Conference on Smart Information Systems and Technologies.
https://doi.org/10.1109/SIST50301.2021.9465905
Cited by 1
Abdallah, A., Kasem, M., Hamada, M. A., & Sdeek, S.
(2020).
Automated question-answer medical model based on deep learning technology.
ACM International Conference Proceeding Series.
https://doi.org/10.1145/3410352.3410744
Q3Cited by 20Open Access
Hamada, M. A., & Naizabayeva, L.
(2020).
Decision Support System with K-Means Clustering Algorithm for Detecting the Optimal Store Location Based on Social Network Events.
2020 IEEE European Technology and Engineering Management Summit, E-TEMS 2020.
https://doi.org/10.1109/E-TEMS46250.2020.9111758
Cited by 9
Hamada, M. A., Alzhanov, B., Sultanbek, K., & Tokbanov, B.
(2019).
Sentimental text processing tool for Russian language based on machine learning algorithms.
ACM International Conference Proceeding Series.
https://doi.org/10.1145/3330431.3335204