Zobrazeno 1 - 10
of 61
pro vyhledávání: '"RAHMAN, FUAD"'
Autor:
Biswas, Amrijit, Hossain, Md. Ismail, Elahi, M M Lutfe, Cheraghian, Ali, Rahman, Fuad, Mohammed, Nabeel, Rahman, Shafin
A point cloud is a crucial geometric data structure utilized in numerous applications. The adoption of deep neural networks referred to as Point Cloud Neural Networks (PC- NNs), for processing 3D point clouds, has significantly advanced fields that r
Externí odkaz:
http://arxiv.org/abs/2408.14601
Autor:
Kabir, Muhammad Rafsan, Sultan, Rafeed Mohammad, Asif, Ihsanul Haque, Ahad, Jawad Ibn, Rahman, Fuad, Amin, Mohammad Ruhul, Mohammed, Nabeel, Rahman, Shafin
Aligning large language models (LLMs) with a human reasoning approach ensures that LLMs produce morally correct and human-like decisions. Ethical concerns are raised because current models are prone to generating false positives and providing malicio
Externí odkaz:
http://arxiv.org/abs/2408.11879
Publikováno v:
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops, 2024, pp. 1102-1109
This research paper presents a unique Bengali OCR system with some capabilities. The system excels in reconstructing document layouts while preserving structure, alignment, and images. It incorporates advanced image and signature detection for accura
Externí odkaz:
http://arxiv.org/abs/2402.05158
Autor:
Hossain, Md. Ismail, Elahi, M M Lutfe, Ramasinghe, Sameera, Cheraghian, Ali, Rahman, Fuad, Mohammed, Nabeel, Rahman, Shafin
In knowledge distillation literature, feature-based methods have dominated due to their ability to effectively tap into extensive teacher models. In contrast, logit-based approaches, which aim to distill `dark knowledge' from teachers, typically exhi
Externí odkaz:
http://arxiv.org/abs/2310.03669
Although over 300M around the world speak Bangla, scant work has been done in improving Bangla voice-to-text transcription due to Bangla being a low-resource language. However, with the introduction of the Bengali Common Voice 9.0 speech dataset, Aut
Externí odkaz:
http://arxiv.org/abs/2209.12650
Word-level handwritten optical character recognition (OCR) remains a challenge for morphologically rich languages like Bangla. The complexity arises from the existence of a large number of alphabets, the presence of several diacritic forms, and the a
Externí odkaz:
http://arxiv.org/abs/2205.11420
Autor:
Hossain, Md Sazzad, Saha, Pritom, Chowdhury, Townim Faisal, Rahman, Shafin, Rahman, Fuad, Mohammed, Nabeel
It is common to have continuous streams of new data that need to be introduced in the system in real-world applications. The model needs to learn newly added capabilities (future tasks) while retaining the old knowledge (past tasks). Incremental lear
Externí odkaz:
http://arxiv.org/abs/2205.11367
Publikováno v:
In Pattern Recognition Letters October 2024 186:148-155
Autor:
Abdur Rahman Fuad
Publikováno v:
İstem, Iss 42, Pp 239-260 (2023)
Her ümmetin düşünce ve ilim tarihi, onun şanını, büyüklüğünü ve gücünü yansıtır. Memlük Sultanları döneminde Mısır ve Şam’da ilme ve âlimlere büyük önem verilirdi. Onlar ilmî teşvik edip ulemâya destek vermişlerdi. D
Externí odkaz:
https://doaj.org/article/1ca11a9602264380a082a758fcdc6aa6
Autor:
Alam, Samiul, Reasat, Tahsin, Sushmit, Asif Shahriyar, Siddiquee, Sadi Mohammad, Rahman, Fuad, Hasan, Mahady, Humayun, Ahmed Imtiaz
Latin has historically led the state-of-the-art in handwritten optical character recognition (OCR) research. Adapting existing systems from Latin to alpha-syllabary languages is particularly challenging due to a sharp contrast between their orthograp
Externí odkaz:
http://arxiv.org/abs/2010.00170