Tarek, I. H. M., Rahman, M. M., & Zaki, Z. M. (2024). Unsupervised Representation Learning using Wasserstein Generative Adversarial Network. International Journal of Computing, 23(3), 415-420; Print ISSN 1727-6209 Online ISSN 2312-5381; DOI 1.47839/ijc.23.3.3660
Tarek, I. H. M., Munna, F. U., Mojumder, A. T. M. T. H., Rahman, M. M., Hossain, M. S., & Andersson, K. (2023). A Hybrid Hotel Recommendation Using Collaborative, Content Based and Knowledge Based Approach. In Intelligent Computing & Optimization : Proceedings of the 5th International Conference on Intelligent Computing and Optimization 2022 (ICO2022) (1st ed., pp. 1049–1057). https://doi.org/10.1007/978-3-031-19958-5_98
Rahman, M. M. (2022). Development of a semantic search method for retrieving food related verses & concepts from the holy Quran using ontology. IIUC Studies, 18(1), 101–122. https://doi.org/10.3329/iiucs.v18i1.61277
SULTANA, Z., RAHMAN, M. M., & NAHAR, L. (2022). Leaf Classification Using Machine Learning Algorithms. Journal of Applied Computer Science & Mathematics, 16(33).
Reja, S. A. & Rahman, M. M. (2021). Sports recognition using convolutional neural network with optimization techniques from images and live streams. International Journal of Computing, 20(2), 276-285.
Rahman, M. M., Zaki, Z. M., Mohd Alwi, N. H. B. & Islam, M. M. (2020). A Conceptual Model for the E-Commerce Application Recommendation Framework using Exploratory Search. Journal of Computer Science, 16(8), 1163-1171.
Ullah, M. A., Alam, M. M., Shan-A-Alahi, A., Rahman, M. M., Masum, A. K. M., & Akter, N. (2019). Impact of ICT on students’ Academic performance: Applying association rule mining and Structured Equation modeling. International Journal of Advanced Computer Science and Applications, 10(8).
Khan, S. Z., Rahman, M. M., Sadi, A. S., Anwar, T., Mohammed, S., & Chowdhury, S. (2017). The Quranic Nature Ontology: From Sparql Endpoint to Java Application and Reasoning. International Journal of Innovative Computing, 7(2)
Rahman, M. M., Sultana, Z., Jahan, M., & Fariha, R. (2020). Prediction of Financial Distress in Bangladesh’s Banking Sector Using Data Mining and Machine-Learning Technique. In Proceedings of International Joint Conference on Computational Intelligence: IJCCI 2019 (pp. 151-162). Springer Singapore.
Rahman, M. M., Jahan, T., Nasrin, T., Akter, S., & Sultana, Z. (2020). Sustainable rice production analysis and forecasting rice yield based on weather circumstances using data mining techniques for Bangladesh. In Cyber Security and Computer Science: Second EAI International Conference, ICONCS 2020, Dhaka, Bangladesh, February 15-16, 2020, Proceedings 2 (pp. 218-229). Springer International Publishing
Rahman, M. M., & Sultana, Z. (2019, December). Extrapolation, Design and Implementation of a Bangla Web Document Amendable Text Synopsis. In 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI) (pp. 1-4). IEEE
Kader, M. A., Meher, S., Shima, J. M., Rahman, M. M., & Tahsin, T. (2019, December). Development of an assistive device for elderly bedbound people to share needs with caregiver and control home appliances. In 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI) (pp. 1-6). IEEE
Rahman, M. M., Rimon, M. A. H., Hoque, M. A., & Sammir, M. R. (2019, May). Affordable smart ecg monitoring using arduino & bluetooth module. In 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT) (pp. 1-4). IEEE
Ullah, M. A., Alam, M. M., Mahiuddin, M., & Rahman, M. M. (2019). Predicting factors of students dissatisfaction for retention. In Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2018, Volume 1 (pp. 501-510). Springer Singapore.
Rahman, M. M. (2017). Analysis, Design and Development of an Automatic Text Summarizer for Bangla Web Document. In National Conference on Natural Science & Technology NCNST
Rahman, M. M., Zaki, Z. B. M., Alwi, N. H. B. M., & Monirul Islam, M. (2019). A hybrid approach to improve recommendation system in E-tourism. In Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2018, Volume 1 (pp. 787-797). Springer Singapore.
Rahman, M. M., Ullah, M. A., Sultana, Z., & Islam, M. R. (2019). An approach to the parameter based doctor ranking. In Emerging Technologies in Data Mining and Information Security: Proceedings of IEMIS 2018, Volume 1 (pp. 759-770). Springer Singapore.
Sadi, A. S., Anam, T., Abdirazak, M., Adnan, A. H., Khan, S. Z., Rahman, M. M., & Samara, G. (2016, April). Applying ontological modeling on Quranic" nature" domain. In 2016 7th International Conference on Information and Communication Systems (ICICS)
Adnan, A. H., Abdirazak, M., Sadi, A. S., Anam, T., Khan, S. Z., Rahman, M. M., & Omar, M. M. (2015, December). A comparative study of WLAN security protocols: WPA, WPA2. In 2015 International Conference on Advances in Electrical Engineering (ICAEE) (pp. 165-169). IEEE.
Rahman, M. M. (2013). Ontology-Based Query Processing In a Dynamic Data Integration System. International Journal of Scientific Engineering and Technology, 2(9), 919-923
Rahman, M. M. (2013). Contextual recommender systems using a multidimensional approach. International Journal of Emerging Technology and Advanced Engineering, 3(8), 24-32.
Sultana, Z., & Rahman, M. M. (2013). Using OWL reasoner to control the data accessibility. Journal of Emerging Trends in Engineering and Applied Sciences, 4(3), 386-393
Sultana, Z., & Rahman, M. M. (2013). THE PERVASIVE ADVERTISING SYSTEM FOR MOBILE DEVICES. International Journal of Scientific Research, 2(3), 2305-1493.
Rahman, M. M. (2012). Ontology Extraction from Relational Schemata: Description logic, Extraction, Ontology, Relational Schemata, SPARQL. LAP Lambert Academic Publishing.
Rahman, M. M. (2013, Dec). The Impact of Business Strategies over Open- Source firm’s performance. International Conference on Business Innovation, Entrepreneurship and Engineering 2013 (pp. 460-471), Penang, Malaysia
Rahman, M. M. (2012, May). Process synchronization in multiprocessor and multi-core processor. In 2012 International Conference on Informatics, Electronics & Vision (ICIEV) (pp. 554- 559). IEEE.