Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Raheem Sarwar"'
Autor:
Syed Konain Abbas, Muhammad Usman Ghani Khan, Jia Zhu, Raheem Sarwar, Naif R. Aljohani, Ibrahim A. Hameed, Muhammad Umair Hassan
Publikováno v:
CAAI Transactions on Intelligence Technology, Vol 9, Iss 4, Pp 932-947 (2024)
Abstract Transportation systems primarily depend on vehicular flow on roads. Developed countries have shifted towards automated signal control, which manages and updates signal synchronisation automatically. In contrast, traffic in underdeveloped cou
Externí odkaz:
https://doaj.org/article/4965b58a54744588b76f0fa19e461c82
Autor:
Emad Mohamed, Raheem Sarwar
Publikováno v:
Journal of Cultural Analytics, Vol 9, Iss 3 (2024)
This paper focuses on exploring the differences in inquiries made by men and women within a religious context. Additionally, we aim to ascertain whether it’s feasible to forecast the popularity of answers and the factors contributing to their popul
Externí odkaz:
https://doaj.org/article/422804646ac94df48bbda7021866c872
Autor:
Raheem Sarwar, Le An Ha, Pin Shen Teh, Fahad Sabah, Raheel Nawaz, Ibrahim A. Hameed, Muhammad Umair Hassan
Publikováno v:
IEEE Access, Vol 12, Pp 15399-15409 (2024)
In this investigation, we propose a solution for the author’s gender identification task called AGI-P. This task has several real-world applications across different fields, such as marketing and advertising, forensic linguistics, sociology, recomm
Externí odkaz:
https://doaj.org/article/f870ee6a0b1f4f7bb02657cdc1bf8b77
Publikováno v:
Machine Learning with Applications, Vol 15, Iss , Pp 100523- (2024)
Self-service shopping technologies have become commonplace in modern society. Although various innovative solutions have been adopted, there is still a gap in providing efficient services to consumers. Recent developments in mobile application techno
Externí odkaz:
https://doaj.org/article/1dab1244785f48c19e1230a2059c0eca
Autor:
Abdul Qadir Khan, Guangmin Sun, Majdi Khalid, Azhar Imran, Anas Bilal, Muhammad Azam, Raheem Sarwar
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0303094 (2024)
In response to the growing number of diabetes cases worldwide, Our study addresses the escalating issue of diabetic eye disease (DED), a significant contributor to vision loss globally, through a pioneering approach. We propose a novel integration of
Externí odkaz:
https://doaj.org/article/b0ef8afd21eb453bb508138fe8efd55c
Publikováno v:
Heliyon, Vol 9, Iss 4, Pp e15407- (2023)
Computer science graduates face a massive gap between industry-relevant skills and those learned at school. Industry practitioners often counter a huge challenge when moving from academics to industry, requiring a completely different set of skills a
Externí odkaz:
https://doaj.org/article/bba8ab62720642e092abcf585df77408
Autor:
Iqra Safder, Hafsa Batool, Raheem Sarwar, Farooq Zaman, Naif Radi Aljohani, Raheel Nawaz, Mohamed Gaber, Saeed-Ul Hassan
Publikováno v:
Applied Artificial Intelligence, Vol 36, Iss 1 (2022)
Machine learning specific scholarly full-text documents contain a number of result-figures expressing valuable data, including experimental results, evaluations, and cross-model comparisons. The scholarly search system often overlooks this vital info
Externí odkaz:
https://doaj.org/article/4678b1ea31e8470bbb43ca04e7af57bf
Autor:
Raheem Sarwar, Norawit Urailertprasert, Nattapol Vannaboot, Chenyun Yu, Thanawin Rakthanmanon, Ekapol Chuangsuwanich, Sarana Nutanong
Publikováno v:
IEEE Access, Vol 8, Pp 18374-18393 (2020)
Stylometry has been successfully applied to perform authorship identification of single-author documents (AISD). The AISD task is concerned with identifying the original author of an anonymous document from a group of candidate authors. However, AISD
Externí odkaz:
https://doaj.org/article/e2f241d90578409392a0b2503a1ab32b
Autor:
Raheem Sarwar, Chenyun Yu, Ninad Tungare, Kanatip Chitavisutthivong, Sukrit Sriratanawilai, Yaohai Xu, Dickson Chow, Thanawin Rakthanmanon, Sarana Nutanong
Publikováno v:
IEEE Access, Vol 6, Pp 50030-50048 (2018)
Authorship attribution aims at identifying the original author of an anonymous text from a given set of candidate authors and has a wide range of applications. The main challenge in authorship attribution problem is that the real-world applications t
Externí odkaz:
https://doaj.org/article/6a7cbf8000364c2ca739a06c9cbbb671
Autor:
Muhammad Kashif Afzal, Matthew Shardlow, Suppawong Tuarob, Farooq Zaman, Raheem Sarwar, Mohsen Ali, Naif Radi Aljohani, Miltiades D. Lytras, Raheel Nawaz, Saeed-Ul Hassan
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 14:7719-7731
Urdu is morphologically rich language and lacks the resources available in English. While several studies on the image captioning task in English have been published, this is among the pioneer studies on Urdu generative image captioning. The study ma