Zobrazeno 1 - 10
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pro vyhledávání: '"Tahir, A"'
Autor:
Xue, Tengfei, Li, Xuefeng, Azim, Tahir, Smirnov, Roman, Yu, Jianhui, Sadrieh, Arash, Pahlavan, Babak
Large language models (LLMs) have significantly improved code generation, particularly in one-pass code generation. However, most existing approaches focus solely on generating code in a single programming language, overlooking the potential of lever
Externí odkaz:
http://arxiv.org/abs/2409.04114
The growing demand for road use in urban areas has led to significant traffic congestion, posing challenges that are costly to mitigate through infrastructure expansion alone. As an alternative, optimizing existing traffic management systems, particu
Externí odkaz:
http://arxiv.org/abs/2408.15751
Autor:
Mustafa, Ahmed, Rafique, Muhammad Tahir, Baig, Muhammad Ijlal, Sajid, Hasan, Khan, Muhammad Jawad, Kallu, Karam Dad
This research paper introduces a novel word-level Optical Character Recognition (OCR) model specifically designed for digital Urdu text, leveraging transformer-based architectures and attention mechanisms to address the distinct challenges of Urdu sc
Externí odkaz:
http://arxiv.org/abs/2408.15119
This article investigates the properties of order-divisor graphs associated with finite groups. An order-divisor graph of a finite group is an undirected graph in which the set of vertices includes all elements of the group, and two distinct vertices
Externí odkaz:
http://arxiv.org/abs/2408.14104
Autor:
Bhogale, Kaushal Santosh, Mehendale, Deovrat, Parasa, Niharika, G, Sathish Kumar Reddy, Javed, Tahir, Kumar, Pratyush, Khapra, Mitesh M.
In this study, we tackle the challenge of limited labeled data for low-resource languages in ASR, focusing on Hindi. Specifically, we explore pseudo-labeling, by proposing a generic framework combining multiple ideas from existing works. Our framewor
Externí odkaz:
http://arxiv.org/abs/2408.14026
The increasing demand for medical imaging has surpassed the capacity of available radiologists, leading to diagnostic delays and potential misdiagnoses. Artificial intelligence (AI) techniques, particularly in automatic medical report generation (AMR
Externí odkaz:
http://arxiv.org/abs/2408.13988
Autor:
Javed, Tahir, Nawale, Janki, Joshi, Sakshi, George, Eldho, Bhogale, Kaushal, Mehendale, Deovrat, Khapra, Mitesh M.
Hindi, one of the most spoken language of India, exhibits a diverse array of accents due to its usage among individuals from diverse linguistic origins. To enable a robust evaluation of Hindi ASR systems on multiple accents, we create a benchmark, LA
Externí odkaz:
http://arxiv.org/abs/2408.11440
Autor:
Ahmad, Tahir, Saha, Sudipan
Change detection (CD) is a fundamental task in Earth observation. While most change detection methods detect all changes, there is a growing need for specialized methods targeting specific changes relevant to particular applications while discarding
Externí odkaz:
http://arxiv.org/abs/2408.06644
Autor:
Assoul, Mahamat Abdel Aziz, Tahir, Abakar Mahamat, Mahmoud, Taibi, Mdemaya, Garrik Brel Jagho, Ndadji, Milliam Maxime Zekeng
Publikováno v:
ParadigmPlus, Vol. 5, No. 2, pp 1-21, 2024
Efficient emergency response systems are crucial for smart cities. But their implementation is highly challenging, particularly in regions like Chad where infrastructural constraints are prevalent. The urgency for optimized response times and resourc
Externí odkaz:
http://arxiv.org/abs/2408.04924
Offloading time-sensitive, computationally intensive tasks-such as advanced learning algorithms for autonomous driving-from vehicles to nearby edge servers, vehicle-to-infrastructure (V2I) systems, or other collaborating vehicles via vehicle-to-vehic
Externí odkaz:
http://arxiv.org/abs/2408.03435