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Items where Author is "Yafouz, Ayman"

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Number of items: 6.

Article

Mutri, Muhammad Ary and Saputra, Andi Rudi Adhy and Alinursafa, Ibnu and Ahmed, Ali Najah and Yafouz, Ayman and El-Shafie, Ahmed (2024) Smart system for water quality monitoring utilizing long-range-based Internet of Things. Applied Water Science, 14 (4). p. 69. ISSN 2190-5487, DOI https://doi.org/10.1007/s13201-024-02128-z.

Ahmed, Ali Najah and Yafouz, Ayman and Birima, Ahmed H. and Kisi, Ozgur and Huang, Yuk Feng and Sherif, Mohsen and Sefelnasr, Ahmed and El-Shafie, Ahmed (2022) Water level prediction using various machine learning algorithms: A case study of Durian Tunggal river, Malaysia. Engineering Applications of Computational Fluid Mechanics, 16 (1). pp. 422-440. ISSN 1994-2060, DOI https://doi.org/10.1080/19942060.2021.2019128.

Yafouz, Ayman and AlDahoul, Nouar and Birima, Ahmed H. and Ahmed, Ali Najah and Sherif, Mohsen and Sefelnasr, Ahmed and Allawi, Mohammed Falah and Ahmed ElShafie, Ahmed Hussein Kamel (2022) Comprehensive comparison of various machine learning algorithms for short-term ozone concentration prediction. Alexandria Engineering Journal, 61 (6). pp. 4607-4622. ISSN 1110-0168, DOI https://doi.org/10.1016/j.aej.2021.10.021.

Afan, Haitham Abdulmohsin and Yafouz, Ayman and Birima, Ahmed H. and Ahmed, Ali Najah and Kisi, Ozgur and Chaplot, Barkha and El-Shafie, Ahmed (2022) Linear and stratified sampling-based deep learning models for improving the river streamflow forecasting to mitigate flooding disaster. Natural Hazards, 112 (2). pp. 1527-1545. ISSN 0921-030X, DOI https://doi.org/10.1007/s11069-022-05237-7.

Yafouz, Ayman and Ahmed, Ali Najah and Zaini, Nur'atiah and El-Shafie, Ahmed (2021) Ozone concentration forecasting based on artificial intelligence techniques: A systematic review. Water Air and Soil Pollution, 232 (2). ISSN 0049-6979, DOI https://doi.org/10.1007/s11270-021-04989-5.

Yafouz, Ayman and Ahmed, Ali Najah and Zaini, Nur'atiah and Sherif, Mohsen and Sefelnasr, Ahmed and El-Shafie, Ahmed (2021) Hybrid deep learning model for ozone concentration prediction: Comprehensive evaluation and comparison with various machine and deep learning algorithms. Engineering Applications of Computational Fluid Mechanics, 15 (1). pp. 902-933. ISSN 1994-2060, DOI https://doi.org/10.1080/19942060.2021.1926328.

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