Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Md Shoaib Ahmed"'
Autor:
Tanjim Taharat Aurpa, Kazi Noshin Fariha, Kawser Hossain, Samiha Maisha Jeba, Md Shoaib Ahmed, Md. Rawnak Saif Adib, Farhana Islam, Farzana Akter
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e39089- (2024)
Identifying mathematical equations from real-world math problems presents a unique and challenging task within the field of Natural Language Processing (NLP). It has a wide range of applications in various areas, such as academics, digital content de
Externí odkaz:
https://doaj.org/article/89a5f641ce074098b61ad070da6e61a4
Autor:
Tanjim Taharat Aurpa, Samiha Maisha Jeba, Md Shoaib Ahmed, Mohammad Aman Ullah, Maria Mehzabin, Md Musfique Anwar
Publikováno v:
Data in Brief, Vol 54, Iss , Pp 110407- (2024)
Mathematical entity recognition is essential for machines to define and illustrate mathematical substance faultlessly and to facilitate sufficient mathematical operations and reasoning. As mathematical entity recognition in the Bangla language is nov
Externí odkaz:
https://doaj.org/article/ff605b7d593241d495740db3829b4631
Autor:
Md Shoaib Ahmed, Samiha Maisha Jeba
Publikováno v:
Data in Brief, Vol 54, Iss , Pp 110388- (2024)
Fish diseases pose a significant threat to food security in aquaculture, as they can lead to considerable reductions in fish production, quality, and profitability. Globally, salmon aquaculture is the quickest-expanding food production system. Detect
Externí odkaz:
https://doaj.org/article/3819ff3bb53f425586550f4968bfa70b
Autor:
Tanjim Taharat Aurpa, Md Shoaib Ahmed
Publikováno v:
Heliyon, Vol 10, Iss 3, Pp e25467- (2024)
Mathematical entity recognition is indispensable for machines to accurately explain and depict mathematical content and to enable adequate mathematical operations and reasoning. It expedites automated theorem proving, speeds up the analysis and retri
Externí odkaz:
https://doaj.org/article/30d8134f6d214eb8a26dff771ad4cace
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 34, Iss 8, Pp 5170-5182 (2022)
Fish diseases in aquaculture constitute a significant hazard to nutriment security. Identification of infected fishes in aquaculture remains challenging to find out at the early stage due to the dearth of necessary infrastructure. The identification
Externí odkaz:
https://doaj.org/article/89c07deca40840a38bd2d5b5db7348ab
Autor:
Tanjim Taharat Aurpa, Md Shoaib Ahmed, Richita Khandakar Rifat, Md. Musfique Anwar, A.B.M. Shawkat Ali
Publikováno v:
Data in Brief, Vol 47, Iss , Pp 108933- (2023)
The popularity of reading comprehension (RC) is increasing day-to-day in Bangla Natural Language Processing (NLP) research area, both in machine learning and deep learning techniques. However, there is no original dataset from various sources in the
Externí odkaz:
https://doaj.org/article/4e193b03e4f648f9b1fd482e71f1ba10
Autor:
Tanjim Taharat Aurpa, Richita Khandakar Rifat, Md Shoaib Ahmed, Md. Musfique Anwar, A. B. M. Shawkat Ali
Publikováno v:
Heliyon, Vol 8, Iss 10, Pp e11052- (2022)
Question answering (QA) system in any language is an assortment of mechanisms for obtaining answers to user questions with various data compositions. Reading comprehension (RC) is one type of composition, and the popularity of this type is increasing
Externí odkaz:
https://doaj.org/article/68492eb18d78466b98fa046056433b15
Publikováno v:
PLoS ONE, Vol 16, Iss 8 (2021)
COVID-19 caused a significant public health crisis worldwide and triggered some other issues such as economic crisis, job cuts, mental anxiety, etc. This pandemic plies across the world and involves many people not only through the infection but also
Externí odkaz:
https://doaj.org/article/e1eb18ddb4854ee3b202232294d865d8
Publikováno v:
Supply Chain Management: An International Journal.
Purpose This study aims to contribute to the debate on the efficacy of softer regulations to prevent violations of workers’ rights in the global clothing supply chain. Design/methodology/approach This study draws on value trap and adverse incorpora
Autor:
Md Shoaib Ahmed
Publikováno v:
Accounting, Auditing & Accountability Journal. 35