Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Ibrahim Khalil Umar"'
Autor:
Ibrahim Khalil Umar, Musa Adamu, Nour Mostafa, Malik Sarmad Riaz, Sadi I. Haruna, Mukhtar Fatihu Hamza, Omar Shabbir Ahmed, Marc Azab
Publikováno v:
Cogent Engineering, Vol 11, Iss 1 (2024)
AbstractThis paper reviews the application of artificial intelligence (AI)-based models in modeling vehicular road traffic noise. A computerized search method was used to conduct the literature search. Fifty published articles from 2007 to 2023 were
Externí odkaz:
https://doaj.org/article/2ae2c2d5bf094da98d1b25dcc36ec082
Publikováno v:
Trakya University Journal of Natural Sciences, Vol 23, Iss 2, Pp 153-165 (2022)
Fine particulate matter (PM2.5) has been linked to a number of adverse health effects, hence its prediction for epidemiological studies has become very crucial. In this study, a novel ensemble technique was proposed for the prediction of PM2.5 concen
Externí odkaz:
https://doaj.org/article/77006309da66481092e3b51ce6984ad0
Autor:
Samir Bashır, İbrahim Khalil Umar
Publikováno v:
Pamukkale University Journal of Engineering Sciences, Vol 26, Iss 3, Pp 402-408 (2020)
The study was aimed at identifying the factors contributing to truck driver’s involvement in an injury accident in Kano, Nigeria using Logistic regression. 248 truck drivers were interviewed using a questionnaire and relevant information on their i
Externí odkaz:
https://doaj.org/article/c1f3c8b824bc4abb874e47047b7fd51b
Publikováno v:
Volume: 23, Issue: 2 153-165
Trakya University Journal of Natural Sciences
Trakya University Journal of Natural Sciences
İnce partikül madde (PM2.5) bir dizi olumsuz sağlık etkisi ile ilişkilendirilmiştir, bu nedenle epidemiyolojik çalışmalar için öngörüsü çok önemli hale gelmiştir. Bu çalışmada, giriş parametresi olarak trafik gürültüsü kullan
Autor:
Ikenna D. Uwanuakwa, Musa Adamu, Shaban Ismael Albrka Ali, Pinar Akpinar, Mohd Rosli Mohd Hasan, Khairul Anuar Shariff, Ibrahim Khalil Umar, S. I. Haruna
Publikováno v:
Innovative Infrastructure Solutions. 8
Publikováno v:
Soft Computing.
Publikováno v:
Handbook of Hydroinformatics ISBN: 9780128219614
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05a8478b9104c81ccdadaa6982b6c1b1
https://doi.org/10.1016/b978-0-12-821961-4.00019-1
https://doi.org/10.1016/b978-0-12-821961-4.00019-1
Autor:
Farizul Nizam Abdullah, U. Dinesh Acharya, Mario J. Al Sayah, Nor Eliza Alias, Wafae Allaoui, Sheikh Hefzul Bari, M. Mehdi Bateni, Nazanin Behfar, Maroua Bouteffeha, Omar-Darío Cardona, Martha Liliana Carreño, Kironmala Chanda, Rim Cherif, Elisa Coraggio, Prabal Das, Khadija Diani, Hicham El Belrhiti, Saeid Eslamian, Said Ettazarini, Soheila Farzi, Emna Gargouri-Ellouze, Fatemeh Sohrabi Geshnigani, Hüseyin Gökçekuş, Mohammad Reza Golabi, AbdelAli Gourfi, Youssef Hahou, Dawei Han, Salim Heddam, Mohammad Jamali, T.R. Jayashree, José A. Junqueira Junior, Ozgur Kisi, Saravanan Kothadaraman, Mohan Kuppusamy, Taesam Lee, Anurag Malik, Vanessa A. Mantovani, Carlos R. Mello, José M. Mello, Kaoutar Mounir, Hessam Najafi, Vahid Nourani, Nardin Jabbarian Paknezhad, Dinagarapandi Pandi, Rasnavi Paramasivam, Saeideh Parvizi, N.V. Subba Reddy, André F. Rodrigues, Yaser Sabzevari, Fahreddin Sadikoglu, Saad Shauket Sammen, Daniel Schertzer, Elnaz Sharghi, Vijay P. Singh, Doudja Souag-Gamane, Marcela C.N.S. Terra, Yazid Tikhamarine, Theo Tryfonas, Ibrahim Khalil Umar, Pierre-Antoine Versini
Publikováno v:
Handbook of Hydroinformatics ISBN: 9780128219614
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfae743c54c4f15e171b37ac76c2e153
https://doi.org/10.1016/b978-0-12-821961-4.09992-9
https://doi.org/10.1016/b978-0-12-821961-4.09992-9
Publikováno v:
Arabian Journal of Geosciences. 15
A reliable traffic noise prediction model is one of the decision-making tools used in providing a noise friendly environment. In this study, four linear-nonlinear hybrid models were proposed to capture both linear and nonlinear patterns of the data b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd6b21c5a7373ec3b878f7829c6c354f
https://doi.org/10.21203/rs.3.rs-837045/v1
https://doi.org/10.21203/rs.3.rs-837045/v1