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pro vyhledávání: '"Nihal, Ragib Amin"'
Unmanned aerial vehicles (UAVs) have revolutionized search and rescue (SAR) operations, but the lack of specialized human detection datasets for training machine learning models poses a significant challenge.To address this gap, this paper introduces
Externí odkaz:
http://arxiv.org/abs/2408.04922
Autor:
Nihal, Ragib Amin, Quoc, Tran Dong Huu, Zirui, Lin, Yimimg, Xu, Haoran, Liu, Zhaoyi, An, Ma, Kyou
SALAD is an AI-driven language-learning application designed to help foreigners learn Japanese. It offers translations in Kanji-Kana-Romaji, speech recognition, translated audio, vocabulary tracking, grammar explanations, and songs generated from new
Externí odkaz:
http://arxiv.org/abs/2402.07431
The demand for accurate object detection in aerial imagery has surged with the widespread use of drones and satellite technology. Traditional object detection models, trained on datasets biased towards large objects, struggle to perform optimally in
Externí odkaz:
http://arxiv.org/abs/2401.14661
Autor:
Rahman, Sejuti, Sarker, Sujan, Miraj, Md Abdullah Al, Nihal, Ragib Amin, Nadimul Haque, A. K. M., Noman, Abdullah Al
Publikováno v:
Cognitive Computation; Jul2024, Vol. 16 Issue 4, p1735-1764, 30p
Publikováno v:
In Pattern Recognition Letters October 2021 150:84-93
Akademický článek
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Autor:
Apostolos Antonacopoulos, Subhasis Chaudhuri, Rama Chellappa, Cheng-Lin Liu, Saumik Bhattacharya, Umapada Pal
The multi-volume set of LNCS books with volume numbers 15301-15333 constitutes the refereed proceedings of the 27th International Conference on Pattern Recognition, ICPR 2024, held in Kolkata, India, during December 1–5, 2024. The 963 papers presen
This three-volume set LNCS 14406-14408 constitutes the refereed proceedings of the 7th Asian Conference on Pattern Recognition, ACPR 2023, held in Kitakyushu, Japan, in November 2023. The 93 full papers presented were carefully reviewed and selected