Browse by Journal

A

Aziz, Afif Fitri and Mardi, Nurul Hani and Abdul Malek, Marlinda and Teh, Su Yean and Wil, Mohd Azwan and Shuja, Abd Halim and Ahmed, Ali Najah and Kumar, Pavitra and Sherif, Mohsen and Elshafie, Ahmed (2023) Development of inundation maps along East Coast of Peninsular Malaysia due to predicted seaquake from Manila Trench. Applied Water Science, 13 (2). ISSN 2190-5487, DOI https://doi.org/10.1007/s13201-022-01860-8.

C

Chong, K. L. and Huang, Y. F. and Koo, C. H. and Sherif, Mohsen and Ahmed, Ali Najah and Ahmed El-Shafie, Ahmed Hussein Kamel (2023) Investigation of cross-entropy-based streamflow forecasting through an efficient interpretable automated search process. Applied Water Science, 13 (1). ISSN 2190-5487, DOI https://doi.org/10.1007/s13201-022-01790-5.

I

Islam, Md. Rabiul and Wan Jaafar, Wan Zurina and Lai, Sai Hin and Osman, Normaniza and Karim, Md. Razaul (2020) Development of an erosion model for Langat River Basin, Malaysia, adapting GIS and RS in RUSLE. Applied Water Science, 10 (7). ISSN 2190-5487, DOI https://doi.org/10.1007/s13201-020-01185-4.

L

Lai, Vivien and Essam, Yusuf and Huang, Yuk Feng and Ahmed, Ali Najah and Ahmed El-Shafie, Ahmed Hussein Kamel (2022) Investigating dam reservoir operation optimization using metaheuristic algorithms. Applied Water Science, 12 (12). ISSN 2190-5487, DOI https://doi.org/10.1007/s13201-022-01794-1.

S

Saab, Saad Mawlood and Othman, Faridah and Tan, Chee Ghuan and Allawi, Mohammed Falah and Sherif, Mohsen and Ahmed El-Shafie, Ahmed Hussein Kamel (2022) Utilizing deep learning machine for inflow forecasting in two different environment regions: A case study of a tropical and semi-arid region. Applied Water Science, 12 (12). ISSN 2190-5487, DOI https://doi.org/10.1007/s13201-022-01798-x.

W

Wee, Wei Joe and Chong, Kai Lun and Ahmed, Ali Najah and Malek, Marlinda Binti Abdul and Huang, Yuk Feng and Sherif, Mohsen and Elshafie, Ahmed (2023) Application of augmented bat algorithm with artificial neural network in forecasting river inflow in Malaysia. Applied Water Science, 13 (1). ISSN 2190-5487, DOI https://doi.org/10.1007/s13201-022-01831-z.

Z

Zanial, Wan Norsyuhada Che Wan and Malek, Marlinda Binti Abdul and Reba, Mohd Nadzri Md and Zaini, Nuratiah and Ahmed, Ali Najah and Sherif, Mohsen and Ahmed ElShafie, Ahmed Hussein Kamel (2023) River flow prediction based on improved machine learning method: Cuckoo Search-Artificial Neural Network. Applied Water Science, 13 (1). ISSN 2190-5487, DOI https://doi.org/10.1007/s13201-022-01830-0.