Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Bilel Zerouali"'
Autor:
Enas Ali, Bilel Zerouali, Aqil Tariq, Okan Mert Katipoğlu, Nadjem Bailek, Celso Augusto Guimarães Santos, Sherif S. M. Ghoneim, Abu Reza Md. Towfiqul Islam
Publikováno v:
Water Science and Technology, Vol 90, Iss 3, Pp 844-877 (2024)
This research explores machine learning algorithms for reservoir inflow prediction, including long short-term memory (LSTM), random forest (RF), and metaheuristic-optimized models. The impact of feature engineering techniques such as discrete wavelet
Externí odkaz:
https://doaj.org/article/faa53eee15c44fcdaa306af5baa71a1f
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2514 (2024)
Accurate land surface temperature (LST) retrieval from satellite data is pivotal in environmental monitoring and scientific research. This study addresses the impact of variability in the effective wavelengths used for LST retrieval from the Thermal
Externí odkaz:
https://doaj.org/article/47b46eced18b45fe8efb3aebd0d58aa1
Autor:
Ehab Gomaa, Bilel Zerouali, Salah Difi, Khaled A. El-Nagdy, Celso Augusto Guimarães Santos, Zaki Abda, Sherif S.M. Ghoneim, Nadjem Bailek, Richarde Marques da Silva, Jitendra Rajput, Enas Ali
Publikováno v:
Heliyon, Vol 9, Iss 8, Pp e18819- (2023)
This study investigates the application of the Gaussian Radial Basis Function Neural Network (GRNN), Gaussian Process Regression (GPR), and Multilayer Perceptron Optimized by Particle Swarm Optimization (MLP-PSO) models in analyzing the relationship
Externí odkaz:
https://doaj.org/article/b5d778573a5e433e8c2774781455d62c
Autor:
Abdulrazak H. Almaliki, Bilel Zerouali, Celso Augusto Guimarães Santos, Abdulrhman A. Almaliki, Richarde Marques da Silva, Sherif S.M. Ghoneim, Enas Ali
Publikováno v:
Heliyon, Vol 9, Iss 8, Pp e18508- (2023)
Sea level rise is one of the most serious outcomes of increasing temperatures, leading to coastal flooding, beach erosion, freshwater contamination, loss of coastal habitats, increased soil salinity, and risk of damage to coastal infrastructures. Thi
Externí odkaz:
https://doaj.org/article/c0415f12a808482d9ac5d02db52936c9
Autor:
Bilel Zerouali, Ahmed Elbeltagi, Nadhir Al-Ansari, Zaki Abda, Mohamed Chettih, Celso Augusto Guimarães Santos, Sofiane Boukhari, Ahmed Salah Araibia
Publikováno v:
Applied Water Science, Vol 12, Iss 9, Pp 1-19 (2022)
Abstract In this paper, the Innovative Trend Methodology (ITM) and their inspired approaches, i.e., Double (D-ITM) and Triple (T-ITM), were combined with Hilbert Huang transform (HHT) time frequency-based method. The new hybrid methods (i.e., ITM-HHT
Externí odkaz:
https://doaj.org/article/4ce5c5fdbdea479b9e67ef2163fac285
Autor:
Enas E. Hussein, Abdessamed Derdour, Bilel Zerouali, Abdulrazak Almaliki, Yong Jie Wong, Manuel Ballesta-de los Santos, Pham Minh Ngoc, Mofreh A. Hashim, Ahmed Elbeltagi
Publikováno v:
Water, Vol 16, Iss 2, p 264 (2024)
The evaluation of groundwater quality is crucial for irrigation purposes; however, due to financial constraints in developing countries, such evaluations suffer from insufficient sampling frequency, hindering comprehensive assessments. Therefore, ass
Externí odkaz:
https://doaj.org/article/3abc2b0d71a54cfdae7cd543d9fb91d3
Autor:
Bilel Zerouali, Celso Augusto Guimarães Santos, Camilo Allyson Simões de Farias, Raul Souza Muniz, Salah Difi, Zaki Abda, Mohamed Chettih, Salim Heddam, Samy A. Anwar, Ahmed Elbeltagi
Publikováno v:
Heliyon, Vol 9, Iss 4, Pp e15355- (2023)
Characterized by their high spatiotemporal variability, rainfalls are difficult to predict, especially under climate change. This study proposes a multilayer perceptron (MLP) network optimized by Genetic Algorithm (GA), Particle Swarm Optimization (P
Externí odkaz:
https://doaj.org/article/20eadc6932dc4050a45683f0e25f804c
Autor:
Sahl Abdullah Waheeb, Bilel Zerouali, Ahmed Elbeltagi, Mamdooh Alwetaishi, Yong Jie Wong, Nadjem Bailek, Ahmad Ameen AlSaggaf, Sahar I. M. Abd Elrahman, Celso Augusto Guimarães Santos, Abdulrahman Abdulaziz Majrashi
Publikováno v:
Water, Vol 15, Iss 17, p 3031 (2023)
Ecotourism in Saudi Arabia (KSA) is gaining significant attention due to the country’s diverse natural landscapes, rich biodiversity, and efforts to preserve and display its environmental treasures. This study presents a comprehensive assessment of
Externí odkaz:
https://doaj.org/article/655f179fe30b4e5f8db4154d1dc589ff
Autor:
Cláudia Adriana Bueno da Fonseca, Nadhir Al-Ansari, Richarde Marques da Silva, Celso Augusto Guimarães Santos, Bilel Zerouali, Daniel Bezerra de Oliveira, Ahmed Elbeltagi
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 11, Iss 5, p 272 (2022)
Climate variability, land use and land cover changes (LULCC) have a considerable impact on runoff–erosion processes. This study analyzed the relationships between climate variability and spatiotemporal LULCC on runoff–erosion processes in differe
Externí odkaz:
https://doaj.org/article/0c062d5c6c944b8f958f2cb97205ae1a
Autor:
Dimple Dimple, Jitendra Rajput, Nadhir Al-Ansari, Ahmed Elbeltagi, Bilel Zerouali, Celso Augusto Guimarães Santos
Publikováno v:
Hydrology, Vol 9, Iss 2, p 31 (2022)
India’s water resources are under tremendous pressure due to elevated demand for various purposes. The over-exploitation of these valuable resources has resulted in an imbalance in the watershed ecology. The application of spatial analysis tools in
Externí odkaz:
https://doaj.org/article/0ef76baffc994b5a9945045cc150a749