Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Abdulqader M. Mohsen"'
Autor:
Hasan Ali Gamal Al-Kaf, Nayef Abdulwahab Mohammed Alduais, Abdul-Malik H. Y. Saad, Kim Seng Chia, Abdulqader M. Mohsen, Hitham Alhussian, Ammar Abdo Mohammed Haidar Mahdi, Wan Saiful-Islam Wan Salam
Publikováno v:
IEEE Access, Vol 8, Pp 168036-168052 (2020)
High dimensionality problem in spectra datasets is a significant challenge to researchers and requires the design of effective methods that can extract the optimal variable subset that can improve the accuracy of predictions or classifications. In th
Externí odkaz:
https://doaj.org/article/cdc21419073d42999fdb274ae45eafbc
Autor:
Abdullah Al-Hashedi, Belal Al-Fuhaidi, Abdulqader M. Mohsen, Yousef Ali, Hasan Ali Gamal Al-Kaf, Wedad Al-Sorori, Naseebah Maqtary
Publikováno v:
Applied Computational Intelligence and Soft Computing, Vol 2022 (2022)
Sentiment analysis has recently become increasingly important with a massive increase in online content. It is associated with the analysis of textual data generated by social media that can be easily accessed, obtained, and analyzed. With the emerge
Externí odkaz:
https://doaj.org/article/3e555559e57c469a9e2034b004704ae2
The purpose of this study is to produce an ”adaptive Ant Colony System” in order to establish a balance between exploitation and exploration in terms of solving the Travel salesman problem. First we do a detailed investigation of several Ant Colo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6936d1a0adea68c0f1082011a2167ebe
Publikováno v:
Journal of Sensors, Vol 2020 (2020)
Due to the increase of Wireless Sensor Network (WSN) technologies demand, the optimal sensor node deployment is considered as one of the most important factors that directly affect the network coverage. Most researches in WSNs that solved the problem
Autor:
Kim Seng Chia, Wan Saiful-Islam Wan Salam, Ammar Abdo Mohammed Haidar Mahdi, Hitham Alhussian, Abdul-Malik H. Y. Saad, N. A. M. Alduais, Hasan Ali Gamal Al-kaf, Abdulqader M. Mohsen
Publikováno v:
IEEE Access, Vol 8, Pp 168036-168052 (2020)
High dimensionality problem in spectra datasets is a significant challenge to researchers and requires the design of effective methods that can extract the optimal variable subset that can improve the accuracy of predictions or classifications. In th
Autor:
Abdulqader M. Mohsen, Abdullah Al-Hashedi, Asma M. Altabeeb, Yousef Ali, Belal Al-Fuhaidi, Hasan Ali Gamal Al-kaf, Wedad Al-Sorori, Naseebah Maqtary
Publikováno v:
2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE).
Autor:
Abdullatif Ghallab, Kamal Bechkoum, Ali Almuzaiqer, Wajdi Aljedaani, Abdullah Al-Hashedi, Abdulqader M. Mohsen
Publikováno v:
2021 International Conference on Intelligent Technology, System and Service for Internet of Everything (ITSS-IoE).
Small and medium-sized enterprises (SMEs) are significant contributors to countries' economic activities. SMEs need to use enterprise resource planning (ERP) systems to increase revenue and productivity. Due to the high licensing costs of these syste
Autor:
Asma M. Altabeeb, Abdulqader M. Mohsen, Yousef Ali, Belal Al-Fuhaidi, Wedad Al-Sorori, Naseebah Maqtary
Publikováno v:
2021 1st International Conference on Emerging Smart Technologies and Applications (eSmarTA).
The COVID-19 pandemic has spread across the world and has become an international public health emergency. The outbreak of COVID-19 has focused attention on the use of quarantine and social distancing as the primary defense strategies against communi
Publikováno v:
Proceedings of International Conference on Recent Trends in Machine Learning, IoT, Smart Cities and Applications ISBN: 9789811572333
Data storage of cloud services has increased rates of acceptance due to their flexibility and the concern of the security and confidentiality levels. Many of the integrity and security problems raised based on the differences between client and servi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7817ec41d39b7529de3437f41d93f6dc
https://doi.org/10.1007/978-981-15-7234-0_73
https://doi.org/10.1007/978-981-15-7234-0_73