Výsledky vyhledávání - "KHALID NAHAR"

Akademický článek

Image cyberbullying detection and recognition using transfer deep machine learning

Autor: Ammar Almomani, Khalid Nahar, Mohammad Alauthman, Mohammed Azmi Al-Betar, Qussai Yaseen, Brij B. Gupta

Publikováno v: International Journal of Cognitive Computing in Engineering, Vol 5, Iss , Pp 14-26 (2024)

Cyberbullying detection on social media platforms is increasingly important, necessitating robust computational methods. Current approaches, while promising, have not fully leveraged the combined strengths of deep learning and traditional machine lea

Externí odkaz: https://doaj.org/article/264a4dfbd3444a1da396a8bc24702770

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Akademický článek

Profile of Peptic Ulcer Disease and its Risk Factors amongst Health Science Students at Umm Al-Qura University

Autor: Muath Alzahrani, Abdulrahman Alharthi, Nasser Shanbari, Salah Bakry, Gufran Kambiji, Khalid Nahar, Alaa Alqurashi, Fahad Alharthi, Mohamed Elhefny

Publikováno v: Journal of Umm Al-Qura University for Medical Science, Vol 9, Iss 2, Pp 16-21 (2023)

Background: Peptic ulcer is a common disease that can lead to several complications, such as bleeding and perforation. Identifying the prevalence and risk factors will help in prevention and early treatment to avoid further issues. Consequently, in t

Externí odkaz: https://doaj.org/article/5636465276464f26ab5b88293ec61eb1

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Akademický článek

Forecasting Saudi Arabia’s production and imports of broiler meat chickens and its effect on expected self-sufficiency ratio

Autor: Mahmoud Mohammed Alderiny, Khalid Nahar Alrwis, Sharafaldin Bakri Ahmed, Nageeb Mohammed Aldawdahi

Publikováno v: Journal of the Saudi Society of Agricultural Sciences, Vol 19, Iss 4, Pp 306-312 (2020)

This research interested in forecasting Saudi production and imports of broiler meat chicken and compute expected self-sufficiency ratio to the period 2017–2021. The study depended on the time series data, VARX (1) model with non-intercept at the f

Externí odkaz: https://doaj.org/article/4830b9a36a714bc186d34941c15d9f78

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Akademický článek

Measuring the impact of water scarcity on agricultural economic development in Saudi Arabia

Autor: Alrwis, Khalid Nahar, Ghanem, Adel Mohamed, Alnashwan, Othman Saad, Al Duwais, Abdul Aziz M., Alaagib, Sharaf Aldin Bakri, Aldawdahi, Nageeb Mohammed

Publikováno v: In Saudi Journal of Biological Sciences January 2021 28(1):191-195

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Akademický článek

Forecasting Saudi Arabia’s production and imports of broiler meat chickens and its effect on expected self-sufficiency ratio

Autor: Alderiny, Mahmoud Mohammed, Alrwis, Khalid Nahar, Ahmed, Sharafaldin Bakri, Aldawdahi, Nageeb Mohammed

Publikováno v: In Journal of the Saudi Society of Agricultural Sciences May 2020 19(4):306-312

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STUDYING THE PHENOMENON OF POVERTY IN THE COUNTRYSIDE OF THE DAHHAR DISTRICT IN YEMEN

Autor: Sharaf Aldin Bakri Alaagib, Othman Saad Alnashwan, Adel M. Ghanem, Khalid Nahar Alrwis, Abdo M. Naji

Publikováno v: Journal of Experimental Biology and Agricultural Sciences. 9:147-151

This research aimed to study poverty in rural Yemen through the percentage, gap, and severity in addition to the standard economic analysis. The study showed that the poverty percent reached 97%, while the gap and severity reached 64, and 45% respect

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6e75656280c46b2c020c6e0b10f30550
https://doi.org/10.18006/2021.9(2).147.151

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Measuring the impact of water scarcity on agricultural economic development in Saudi Arabia

Autor: Nageeb Mohammed Aldawdahi, Sharaf Aldin Bakri Alaagib, Khalid Nahar Alrwis, Adel M. Ghanem, Othman Saad Alnashwan, Abdul Aziz M. Al Duwais

Publikováno v: Saudi Journal of Biological Sciences, Vol 28, Iss 1, Pp 191-195 (2021)
Saudi Journal of Biological Sciences

This research measures the impact of water scarcity on agricultural economic development and economic development indicators in the Kingdom of Saudi Arabia during 1995–2018. By examining the current status of available water resources and their use

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff1614ef0ac57d894151934d58f03260
http://www.sciencedirect.com/science/article/pii/S1319562X20304459

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Economic analysis of indicators of the competitiveness of Saudi date exports

Autor: Khalid Nahar Alrwis, Abdalzziz M. Duwais, Sharafeldin bakri Alaagib, Nageeb Aldawdahi

Publikováno v: Independent Journal of Management & Production; Vol. 13 No. 2 (2022): Independent Journal of Management & Production; 829-840
Independent Journal of Management & Production
Instituto Federal de Educação, Ciência e Tecnologia de São Paulo (IFSP)
instacron:IJM&P

This study analysed the competitiveness indicators of Saudi exports of dates using econometric analysis and competitiveness indicators. The Republic of Yemen was found to rank first in importing Saudi dates, followed by the United Arab Emirates, then

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3096cbf9fd35d4088086d2f1aeef7eb5
http://www.ijmp.jor.br/index.php/ijmp/article/view/1607

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AN EFFICIENT HOLY QURAN RECITATION RECOGNIZER BASED ON SVM LEARNING MODEL

Autor: KHALID NAHAR, Raed khatib, Moyawiah Shannaq, Malek Barhoush

Publikováno v: Jordanian Journal of Computers and Information Technology, Vol 6, Iss 4, Pp 392-414 (2020)

Holy Quran recitation recognition refers to the process of identifying the type of recitation, among those authorized styles of recitation (“Qira’ah” in Arabic). Several previous studies investigated the recitation rules (“Ahkam Al-Tajweed”

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f536bf01a66f7e8c2fba411dddec5779
https://jjcit.org/paper/115

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