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Salim Heddam
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2020 – today
- 2025
- [j9]Meysam Alizamir, Kayhan Moradveisi, Kaywan Othman Ahmed, Jamil Bahrami, Sungwon Kim, Salim Heddam:
An efficient data fusion model based on Bayesian model averaging for robust water quality prediction using deep learning strategies. Expert Syst. Appl. 261: 125499 (2025) - 2024
- [j8]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:
New formulation for predicting total dissolved gas supersaturation in dam reservoir: application of hybrid artificial intelligence models based on multiple signal decomposition. Artif. Intell. Rev. 57(4): 85 (2024) - 2023
- [j7]Meysam Alizamir, Jalal Shiri, Ahmad Fakheri Fard, Sungwon Kim, Alireza Docheshmeh Gorgij, Salim Heddam, Vijay P. Singh:
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. Eng. Appl. Artif. Intell. 123(Part A): 106199 (2023) - [j6]Salim Heddam, Khaled Merabet, Salah Difi, Sungwon Kim, Mariusz Ptak, Mariusz Sojka, Mohammad Zounemat-Kermani, Özgür Kisi:
River water temperature prediction using hybrid machine learning coupled signal decomposition: EWT versus MODWT. Ecol. Informatics 78: 102376 (2023) - [j5]Rana Muhammad Adnan, Barenya Bikash Hazarika, Deepak Gupta, Salim Heddam, Özgür Kisi:
Streamflow prediction in mountainous region using new machine learning and data preprocessing methods: a case study. Neural Comput. Appl. 35(12): 9053-9070 (2023) - 2022
- [j4]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:
Groundwater level prediction using machine learning models: A comprehensive review. Neurocomputing 489: 271-308 (2022) - 2021
- [j3]Meysam Alizamir, Sungwon Kim, Mohammad Zounemat-Kermani, Salim Heddam, Amin Hasanalipour Shahrabadi, Bahram Gharabaghi:
Modelling daily soil temperature by hydro-meteorological data at different depths using a novel data-intelligence model: deep echo state network model. Artif. Intell. Rev. 54(4): 2863-2890 (2021) - [j2]Rana Muhammad Adnan, Reham R. Mostafa, Abu Reza Md. Towfiqul Islam, Özgür Kisi, Alban Kuriqi, Salim Heddam:
Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms. Comput. Electron. Agric. 191: 106541 (2021)
2010 – 2019
- 2018
- [j1]Behrooz Keshtegar, Salim Heddam:
Modeling daily dissolved oxygen concentration using modified response surface method and artificial neural network: a comparative study. Neural Comput. Appl. 30(10): 2995-3006 (2018) - 2016
- [p1]Salim Heddam:
Fuzzy Neural Network (EFuNN) for Modelling Dissolved Oxygen Concentration (DO). Intelligence Systems in Environmental Management 2016: 231-253
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