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ORCIDRagib Amin Nihal
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2020 – today
- 2024
[j3]Sejuti Rahman
, Sujan Sarker, Md Abdullah Al Miraj, Ragib Amin Nihal, A. K. M. Nadimul Haque, Abdullah Al Noman:
Deep Learning-Driven Automated Detection of COVID-19 from Radiography Images: a Comparative Analysis. Cogn. Comput. 16(4): 1735-1764 (2024)- [c2]Ragib Amin Nihal, Benjamin Yen, Katsutoshi Itoyama, Kazuhiro Nakadai:
UAV-Enhanced Combination to Application: Comprehensive Analysis and Benchmarking of a Human Detection Dataset for Disaster Scenarios. ICPR (14) 2024: 145-162 - [i3]Ragib Amin Nihal, Benjamin Yen, Katsutoshi Itoyama, Kazuhiro Nakadai:
From Blurry to Brilliant Detection: YOLOv5-Based Aerial Object Detection with Super Resolution. CoRR abs/2401.14661 (2024) - [i2]Ragib Amin Nihal, Dong Huu Quoc Tran, Zirui Lin, Yimimg Xu, Haoran Liu, Zhaoyi An, Ma Kyou:
SALAD: Smart AI Language Assistant Daily. CoRR abs/2402.07431 (2024) - [i1]Ragib Amin Nihal, Benjamin Yen, Katsutoshi Itoyama, Kazuhiro Nakadai:
UAV-Enhanced Combination to Application: Comprehensive Analysis and Benchmarking of a Human Detection Dataset for Disaster Scenarios. CoRR abs/2408.04922 (2024) - 2023
- [c1]Ragib Amin Nihal, Nawara Mahmood Broti:
A Few-Shot Approach to Sign Language Recognition: Can Learning One Language Enable Understanding of All? ACPR (2) 2023: 143-155 - 2021
- [j2]Ragib Amin Nihal, Sejuti Rahman, Nawara Mahmood Broti, Shamim Ahmed Deowan:
Bangla Sign alphabet recognition with zero-shot and transfer learning. Pattern Recognit. Lett. 150: 84-93 (2021) - [j1]Ragib Amin Nihal, Nawara Mahmood Broti, Shamim Ahmed Deowan, Sejuti Rahman:
Design and Development of a Humanoid Robot for Sign Language Interpretation. SN Comput. Sci. 2(3): 220 (2021)
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