Salim Heddam

According to our database, Salim Heddam authored at least 9 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

New formulation for predicting total dissolved gas supersaturation in dam reservoir: application of hybrid artificial intelligence models based on multiple signal decomposition.

Salim Heddam, Ahmed M. Al-Areeq, Mou Leong Tan, Iman Ahmadianfar, Bijay Halder, Vahdettin Demir, Huseyin Cagan Kilinc, Sani Isah Abba, Atheer Y. Oudah, Zaher Mundher Yaseen

Artif. Intell. Rev., 2024

2023

River water temperature prediction using hybrid machine learning coupled signal decomposition: EWT versus MODWT.

Salim Heddam, Khaled Merabet, Salah Difi, Sungwon Kim, Mariusz Ptak, Mariusz Sojka, Mohammad Zounemat-Kermani, Özgür Kisi

Ecol. Informatics, December, 2023

Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case study.

Rana Muhammad Adnan, Barenya Bikash Hazarika, Deepak Gupta, Salim Heddam, Özgür Kisi

Neural Comput. Appl., April, 2023

Improving the accuracy of daily solar radiation prediction by climatic data using an efficient hybrid deep learning model: Long short-term memory (LSTM) network coupled with wavelet transform.

Meysam Alizamir, Jalal Shiri, Ahmad Fakheri Fard, Sungwon Kim, Alireza Docheshmeh Gorgij, Salim Heddam, Vijay P. Singh

Eng. Appl. Artif. Intell., 2023

2022

Groundwater level prediction using machine learning models: A comprehensive review.

Hai Tao, Mohammed Majeed Hameed, Haydar Abdulameer Marhoon, Mohammad Zounemat-Kermani, Salim Heddam, Sungwon Kim, Sadeq Oleiwi Sulaiman, Mou Leong Tan, Zulfaqar Sa'adi, Ali Danandeh Mehr, Mohammed Falah Allawi, Sani Isah Abba, Jasni Mohamad Zain, Mayadah Waheed Falah, Mehdi Jamei, Neeraj Dhanraj Bokde, Maryam Bayatvarkeshi, Mustafa Al-Mukhtar, Suraj Kumar Bhagat, Tiyasha Tiyasha, Khaled Mohamed Khedher, Nadhir Al-Ansari, Shamsuddin Shahid, Zaher Mundher Yaseen

Neurocomputing, 2022

2021

Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms.

Rana Muhammad Adnan, Reham R. Mostafa, Abu Reza Md. Towfiqul Islam, Özgür Kisi, Alban Kuriqi, Salim Heddam

Comput. Electron. Agric., 2021

Modelling daily soil temperature by hydro-meteorological data at different depths using a novel data-intelligence model: deep echo state network model.

Meysam Alizamir, Sungwon Kim, Mohammad Zounemat-Kermani, Salim Heddam, Amin Hasanalipour Shahrabadi, Bahram Gharabaghi

Artif. Intell. Rev., 2021

2018

Modeling daily dissolved oxygen concentration using modified response surface method and artificial neural network: a comparative study.

Behrooz Keshtegar, Salim Heddam

Neural Comput. Appl., 2018

2016

Fuzzy Neural Network (EFuNN) for Modelling Dissolved Oxygen Concentration (DO).

Salim Heddam

Proceedings of the Intelligence Systems in Environmental Management: Theory and Applications, 2016