Research Profile
Research Profile
Google Scholar || ORCID (0000-0001-9269-502X) || Scopus (57202903135)
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1. Cross-Domain Co-Author Recommendation Based on Knowledge Graph Clustering
Munna T.A., Delhibabu R. (2021) Cross-Domain Co-Author Recommendation Based on Knowledge Graph Clustering. In: Nguyen N.T., Chittayasothorn S., Niyato D., Trawiński B. (eds) Intelligent Information and Database Systems. ACIIDS 2021. Lecture Notes in Computer Science, vol 12672. Springer, Cham. https://doi.org/10.1007/978-3-030-73280-6_62
Link: https://link.springer.com/chapter/10.1007/978-3-030-73280-6_62
2. Prediction Model for Prevalence of Type-2 Diabetes Complications with ANN Approach Combining with K-Fold Cross Validation and K-Means Clustering
Munna M.T.A., Alam M.M., Allayear S.M., Sarker K., Ara S.J.F. (2020) Prediction Model for Prevalence of Type-2 Diabetes Complications with ANN Approach Combining with K-Fold Cross Validation and K-Means Clustering. In: Arai K., Bhatia R. (eds) Advances in Information and Communication. FICC 2019. Lecture Notes in Networks and Systems, vol 69. Springer, Cham .
Link: https://link.springer.com/chapter/10.1007/978-3-030-12388-8_71
3. Prediction Model for Prevalence of Type-2 Diabetes Mellitus Complications Using Machine Learning Approach
Younus M., Munna M.T.A., Alam M.M., Allayear S.M., Ara S.J.F. (2020) Prediction Model for Prevalence of Type-2 Diabetes Mellitus Complications Using Machine Learning Approach. In: Alhajj R., Moshirpour M., Far B. (eds) Data Management and Analysis. Studies in Big Data, vol 65. Springer, Cham
Link: https://link.springer.com/chapter/10.1007/978-3-030-32587-9_7
4. Simplified mapreduce mechanism for large scale data processing
Tahsir Ahmed Munna, M., Muhammad Allayear, S., Mohtashim Alam, M., Shah Mohammad Motiur Rahman, S., Samadur Rahman, M., & Mesbahuddin Sarker, M. (2018). Simplified Mapreduce Mechanism for Large Scale Data Processing.
International Journal of Engineering & Technology, 7(3.8), 16-21. doi:http://dx.doi.org/10.14419/ijet.v7i3.8.15211
Link: https://www.sciencepubco.com/index.php/ijet/article/view/15211
5. Haar Cascade Classifier and Lucas–Kanade Optical Flow Based Realtime Object Tracker with Custom Masking Technique
Mohiuddin K., Alam M.M., Das A.K., Munna M.T.A., Allayear S.M., Ali M.H. (2019) Haar Cascade Classifier and Lucas–Kanade Optical Flow Based Realtime Object Tracker with Custom Masking Technique. In: Arai K., Kapoor S., Bhatia R. (eds) Advances in Information and Communication Networks. FICC 2018. Advances in Intelligent Systems and Computing, vol 887. Springer, Cham
Link: https://link.springer.com/chapter/10.1007%2F978-3-030-03405-4_27
6. NStackSenti: Evaluation of a Multi-level Approach for Detecting the Sentiment of Users
Sohan M.F., Rahman S.S.M.M., Munna M.T.A., Allayear S.M., Rahman M.H., Rahman M.M. (2019) NStackSenti: Evaluation of a Multi-level Approach for Detecting the Sentiment of Users. In: Prateek M., Sharma D., Tiwari R., Sharma R., Kumar K., Kumar N. (eds) Next Generation Computing Technologies on Computational Intelligence. NGCT 2018. Communications in Computer and Information Science, vol 922. Springer, Singapore
Link: https://link.springer.com/chapter/10.1007%2F978-981-15-1718-1_4
7. Human face detection in excessive dark image by using contrast stretching, histogram equalization and adaptive equalization
Muhammad Allayear, S., Fakrul Abedin Bhuiyan, M., Mohtashim Alam, M., Rayhan Kabir, S., Tahsir Ahmed Munna, M., & Samaun Hasan, M. (2018). Human face detection in excessive dark image by using contrast stretching, histogram equalization and adaptive equalization. International Journal of Engineering & Technology, 7(4), 3990-3994. doi:http://dx.doi.org/10.14419/ijet.v7i4.13713
Link: https://www.sciencepubco.com/index.php/ijet/article/view/13713
8. A Sentiment Analysis Based Approach for Understanding the User Satisfaction on Android Application
Rahman M.M., Rahman S.S.M.M., Allayear S.M., Patwary M.F.K., Munna M.T.A. (2020) A Sentiment Analysis Based Approach for Understanding the User Satisfaction on Android Application. In: Raju K., Senkerik R., Lanka S., Rajagopal V. (eds) Data Engineering and Communication Technology. Advances in Intelligent Systems and Computing, vol 1079. Springer, Singapore
Link: https://link.springer.com/chapter/10.1007%2F978-981-15-1097-7_33
9. Relative Direction: Location Path Providing Method for Allied Intelligent Agent
Kabir S.R., Alam M.M., Allayear S.M., Munna M.T.A., Hossain S.S., Rahman S.S.M.M. (2018) Relative Direction: Location Path Providing Method for Allied Intelligent Agent. In: Singh M., Gupta P., Tyagi V., Flusser J., Ören T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 905. Springer, Singapore
Link: https://link.springer.com/chapter/10.1007%2F978-981-13-1810-8_38
10. Relative Direction: Location Path Providing Method for Allied Intelligent Agent
Kabir S.R., Alam M.M., Allayear S.M., Munna M.T.A., Hossain S.S., Rahman S.S.M.M. (2018) Relative Direction: Location Path Providing Method for Allied Intelligent Agent. In: Singh M., Gupta P., Tyagi V., Flusser J., Ören T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 905. Springer, Singapore
Link: https://link.springer.com/chapter/10.1007%2F978-981-13-1810-8_38
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