Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Raheem SA"'
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
Autor:
Al-Dabagh Mustafa Zuhaer Nayef, Hussein Hussein Ibrahim, Raheem Salar Ameen, Ahmed Muhammed Imran, Othman Nashwan Adnan
Publikováno v:
ITM Web of Conferences, Vol 64, p 01008 (2024)
Facial recognition is crucial for safety and security, especially for identifying people. This paper applies facial recognition to a database of facial images by analyzing the images and subsequently assigning a set of unique features to each one. Th
Externí odkaz:
https://doaj.org/article/87961219bbc448ad910193d3892ceca4
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:
Raheem Sarafadeen, Sokunbi O. Ganiyu, Aminu A. Ibrahim, Anas Ismail, Mukadas O. Akindele, Bashir Kaka, Adedapo W. Awotidebe
Publikováno v:
Trials, Vol 23, Iss 1, Pp 1-10 (2022)
Abstract Background Structural impairment of the lumbar multifidus muscle, such as reduced cross-sectional area, is evident among individuals with chronic low back pain. Real-time ultrasound imaging (RUSI) biofeedback has been reported to improve pre
Externí odkaz:
https://doaj.org/article/0a1833a24cb54dd4b71738a7d111cb51
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