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Mohammad Khairul Islam
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Journal Articles
- 2024
- [j4]Khandaker Tabin Hasan, M. Mostafizur Rahman, Md. Mortuza Ahmmed, Anjir Ahmed Chowdhury, Mohammad Khairul Islam:
4P Model for Dynamic Prediction of COVID-19: a Statistical and Machine Learning Approach. Cogn. Comput. 16(4): 1709-1722 (2024) - [j3]Juel Sikder, Mohammad Khairul Islam, Farah Jahan:
Object segmentation for image indexing in large database. J. King Saud Univ. Comput. Inf. Sci. 36(2): 101937 (2024) - 2015
- [j2]Mohammad Khairul Islam, Farah Jahan, Joong-Hwan Baek:
Object Cataloging Using Heterogeneous Local Features for Image Retrieval. KSII Trans. Internet Inf. Syst. 9(11): 4534-4555 (2015) - 2012
- [j1]Farah Jahan, Mohammad Khairul Islam, Joong-Hwan Baek:
Person Detection, Re-identification and Tracking Using Spatio-Color-based Model for Non-Overlapping Multi-Camera Surveillance Systems. Smart Comput. Rev. 2(1): 42-59 (2012)
Conference and Workshop Papers
- 2023
- [c3]Sheikh Mohammad Jubaer, Nazifa Tabassum, Md. Ataur Rahman, Mohammad Khairul Islam:
BN-DRISHTI: Bangla Document Recognition Through Instance-Level Segmentation of Handwritten Text Images. ICDAR Workshops (2) 2023: 195-212 - 2007
- [c2]Mohammad Khairul Islam, Hyung-Jin Lee, Anjan Kumar Paul, Joong-Hwan Baek:
Content-Based Music Retrieval Using Beat Information. FSKD (3) 2007: 317-321 - 2006
- [c1]Mohammad Khairul Islam, Soon-Tak Lee, Joong-Hwan Baek:
Actor Based Video Indexing and Retrieval Using Visual Information. ICNC (2) 2006: 492-501
Informal and Other Publications
- 2023
- [i2]Sheikh Mohammad Jubaer, Nazifa Tabassum, Md. Ataur Rahman, Mohammad Khairul Islam:
BN-DRISHTI: Bangla Document Recognition through Instance-level Segmentation of Handwritten Text Images. CoRR abs/2306.09351 (2023) - 2022
- [i1]Md. Ataur Rahman, Nazifa Tabassum, Mitu Paul, Riya Pal, Mohammad Khairul Islam:
BN-HTRd: A Benchmark Dataset for Document Level Offline Bangla Handwritten Text Recognition (HTR) and Line Segmentation. CoRR abs/2206.08977 (2022)
Coauthor Index
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last updated on 2024-10-07 22:12 CEST by the dblp team
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