Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Elham Kariri"'
Autor:
Hassen Louati, Ali Louati, Abdulla Almekhlafi, Maha ElSaka, Meshal Alharbi, Elham Kariri, Youssef N. Altherwy
Publikováno v:
Journal of Theoretical and Applied Electronic Commerce Research, Vol 19, Iss 3, Pp 2139-2156 (2024)
As blockchain technology increasingly underpins digital transactions, smart contracts have emerged as a pivotal tool for automating these transactions. While smart contracts offer efficiency and security, their automation introduces significant legal
Externí odkaz:
https://doaj.org/article/3dede05dab3145f2a59ea457a55178f4
Publikováno v:
IEEE Access, Vol 12, Pp 85338-85354 (2024)
The present paper tackles the dynamic job shop scheduling problem (DJSSP), aiming to schedule a new set of jobs while minimizing the completion time of all operations. The problem is an NP-hard combinatorial optimization problem. This contribution pr
Externí odkaz:
https://doaj.org/article/327e7ba5cba74c3c8ee86c9c5ec4e857
Machine Learning and Artificial Intelligence for a Sustainable Tourism: A Case Study on Saudi Arabia
Autor:
Ali Louati, Hassen Louati, Meshal Alharbi, Elham Kariri, Turki Khawaji, Yasser Almubaddil, Sultan Aldwsary
Publikováno v:
Information, Vol 15, Iss 9, p 516 (2024)
This work conducts a rigorous examination of the economic influence of tourism in Saudi Arabia, with a particular focus on predicting tourist spending patterns and classifying spending behaviors during the COVID-19 pandemic period and its implication
Externí odkaz:
https://doaj.org/article/fbc11dd4aae14a09839f02734bfa02e5
Autor:
Ali Louati, Hassen Louati, Abdullah Albanyan, Rahma Lahyani, Elham Kariri, Abdulrahman Alabduljabbar
Publikováno v:
Computers, Vol 13, Iss 5, p 114 (2024)
Within the dynamic realm of social media, the proliferation of harmful content can significantly influence user engagement and emotional health. This study presents an in-depth analysis that bridges diverse domains, from examining the aftereffects of
Externí odkaz:
https://doaj.org/article/eb8f6531701d4068994a1d52555ae576
Publikováno v:
Information, Vol 15, Iss 4, p 189 (2024)
Responding to the critical health crisis triggered by respiratory illnesses, notably COVID-19, this study introduces an innovative and resource-conscious methodology for analyzing chest X-ray images. We unveil a cutting-edge technique that marries ne
Externí odkaz:
https://doaj.org/article/42de3dfc6f914835948072b498f3edad
Publikováno v:
BMC Medical Imaging, Vol 22, Iss 1, Pp 1-11 (2022)
Abstract Covid-19 is a disease that can lead to pneumonia, respiratory syndrome, septic shock, multiple organ failure, and death. This pandemic is viewed as a critical component of the fight against an enormous threat to the human population. Deep co
Externí odkaz:
https://doaj.org/article/2e560ac66ac1490e9b9108e60f108bf2
Publikováno v:
Applied Sciences, Vol 13, Iss 23, p 12539 (2023)
This study presents the development of a sentimental analysis system for high education students using Arabic text. There is a gap in the literature concerning understanding the perceptions and opinions of students in Saudi Arabia Universities regard
Externí odkaz:
https://doaj.org/article/4734dcf1c1ac4edc8f0c84d5d78a785a
Publikováno v:
Applied Sciences, Vol 13, Iss 5, p 3186 (2023)
Artificial Neural Networks (ANNs) are machine learning algorithms inspired by the structure and function of the human brain. Their popularity has increased in recent years due to their ability to learn and improve through experience, making them suit
Externí odkaz:
https://doaj.org/article/29b14f48ee19402ab178d383ee374bd1
Publikováno v:
The Journal of Supercomputing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4845706d53a118119b57e6388545358d
https://doi.org/10.1007/s11227-023-05273-5
https://doi.org/10.1007/s11227-023-05273-5
Publikováno v:
Pattern Recognition Letters. 156:142-151
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b15e1be53f2720b8c9b010c8aa3c994a
https://doi.org/10.1016/j.patrec.2022.02.013
https://doi.org/10.1016/j.patrec.2022.02.013