Zobrazeno 1 - 10
of 122
pro vyhledávání: '"M. Alhashmi"'
Publikováno v:
Kidney International Reports, Vol 6, Iss 4, Pp S29- (2021)
Externí odkaz:
https://doaj.org/article/eb8c62cf5d1a4bc0bec82efa2058e038
Publikováno v:
Kidney International Reports, Vol 6, Iss 4, Pp S31-S32 (2021)
Externí odkaz:
https://doaj.org/article/eb4139fe9b12437bb695fe190f8aa3d3
Publikováno v:
SAGE Open, Vol 14 (2024)
This study identified the significant COVID-19 vaccine hesitancy and intention to uptake motives and sociodemographic predictors among vaccinated Malaysian adults. A cross-sectional study using a self-administered online questionnaire adapted from th
Externí odkaz:
https://doaj.org/article/e98c3d42335a4c5688165bc60dbaa997
Autor:
Khalifa Alhosani, Saadat M. Alhashmi
Publikováno v:
Discover Artificial Intelligence, Vol 4, Iss 1, Pp 1-19 (2024)
Abstract Artificial intelligence (AI) has emerged as an excellent tool across multiple industries and holds great promise for the government, society, and economy. However, the absence of a distinct consensus regarding the definition and scope of art
Externí odkaz:
https://doaj.org/article/1076032da0324731b193d837683e42de
Publikováno v:
SAGE Open, Vol 14 (2024)
Drawing on an exhaustive analysis of 112 scholarly articles dedicated to the field of Knowledge Management in Family Businesses (KMFB), this study systematically examines the prevailing research frontiers, investigates the intricate dynamics of knowl
Externí odkaz:
https://doaj.org/article/f988f6b5d03d423188405f68085dbbfe
Autor:
Saadat M. Alhashmi, Md. Shohidul Islam Polash, Aminul Haque, Fazley Rabbe, Shazzad Hossen, Nuruzzaman Faruqui, Ibrahim Abaker Targio Hashem, Nirase Fathima Abubacker
Publikováno v:
IEEE Access, Vol 12, Pp 61978-61990 (2024)
The medical community strives continually to improve the quality of care patients receive. Predictions of prognosis are essential for doctors and patients to choose a course of treatment. Recent years have witnessed the development of numerous new ca
Externí odkaz:
https://doaj.org/article/2966d780f7cc40cba6155557c66642ca
Publikováno v:
Computers, Vol 13, Iss 11, p 281 (2024)
Digital transformation is a process in which the latest technologies are used in various business fields to keep pace with continuous changes. It involves the strategic and profound integration of digital technologies into an organization’s core bu
Externí odkaz:
https://doaj.org/article/9293fc026fb445f7892e6c7684414169
Publikováno v:
Computers, Vol 13, Iss 9, p 243 (2024)
The United Arab Emirates (UAE) is a frontrunner in digitalising government services, demonstrating the successful implementation of National Digital Identity (NDI) systems. Unlike many developing nations with varying levels of success with electronic
Externí odkaz:
https://doaj.org/article/b7ea978c50364d64bab430b2554255c3
Publikováno v:
Intelligent Systems with Applications, Vol 21, Iss , Pp 200299- (2024)
Artificial Intelligence (AI) has emerged as a leading technology that can significantly enhance healthcare systems., including diagnosis and treatment recommendations, patient engagement and adherence, and health predictions, because of recent develo
Externí odkaz:
https://doaj.org/article/19d59f1bec174160ac4ac99b6440ac20
Autor:
T S Arulananth, P G Kuppusamy, Ramesh Kumar Ayyasamy, Saadat M Alhashmi, M Mahalakshmi, K Vasanth, P Chinnasamy
Publikováno v:
PLoS ONE, Vol 19, Iss 4, p e0300767 (2024)
Semantic segmentation of cityscapes via deep learning is an essential and game-changing research topic that offers a more nuanced comprehension of urban landscapes. Deep learning techniques tackle urban complexity and diversity, which unlocks a broad
Externí odkaz:
https://doaj.org/article/268e54d2b3c840228b4f0f855ecf21a4