Salim Heddam

ResearcherID Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 13

Top Venues

Environmental science and pollution research international

Environmental monitoring and assessment

Maternal and child health journal

University 20 Août 1955 SKIKDA 21000

ENSA ALGIERS (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University 20 Août 1955 SKIKDA 21000 Nov 16o 2006

Algeria

Associate Professor :: Agronomy Department, Hydraulic Division

Education History

ENSA ALGIERS Sep 1o 2006 - Jun 30o 2012

Algeria

PHD :: HYDRAULICS

Publications

Khaled Merabet, Salim Heddam
Improving the accuracy of air relative humidity prediction using hybrid machine learning based on empirical mode decomposition: a comparative study. Environmental science and pollution research international (2023)
Hemza Boumezbeur, Fares Laouacheria, Salim Heddam, Lakhdar Djemili
Modelling coagulant dosage in drinking water treatment plant using advance machine learning model: Hybrid extreme learning machine optimized by Bat algorithm. Environmental science and pollution research international (2023)
Ala Bouchehed, Fares Laouacheria, Salim Heddam, Lakhdar Djemili
Machine learning for better prediction of seepage flow through embankment dams: Gaussian process regression versus SVR and RVM. Environmental science and pollution research international 30 (9) (2023)
Ala Bouchehed, Fares Laouacheria, Salim Heddam, Lakhdar Djemili
Machine learning for better prediction of seepage flow through embankment dams: Gaussian process regression versus SVR and RVM. Environmental science and pollution research international 30 (9) (2023)
Kaywan Othman Ahmed, Ata Amini, Kourosh Dadkhah, Jamil Bahrami, Mohammad Reza Kavianpour, Elham Kamal Hama Rahim, Niga Mawlood Ahmed, Salim Heddam, Shiva Mafakheri
Assessment of Hygiene Practices, Awareness, and Water Consumption Regarding Covid-19 Among Children in a Refugee Camp. Maternal and child health journal (2023)
Ala Bouchehed, Fares Laouacheria, Salim Heddam, Lakhdar Djemili
Machine learning for better prediction of seepage flow through embankment dams: Gaussian process regression versus SVR and RVM. Environmental science and pollution research international (2023)
Dinesh Kumar Vishwakarma, Rawshan Ali, Shakeel Ahmad Bhat, Ahmed Elbeltagi, Nand Lal Kushwaha, Rohitashw Kumar, Jitendra Rajput, Salim Heddam, Alban Kuriqi
Pre- and post-dam river water temperature alteration prediction using advanced machine learning models. Environmental science and pollution research international 29 (55) (2022)
Salim Heddam, Zaher Mundher Yaseen, Mayadah W Falah, Leonardo Goliatt, Mou Leong Tan, Zulfaqar Sa'adi, Iman Ahmadianfar, Mandeep Saggi, Amandeep Bhatia, Pijush Samui
Cyanobacteria blue-green algae prediction enhancement using hybrid machine learning-based gamma test variable selection and empirical wavelet transform. Environmental science and pollution research international 29 (51) (2022)
Salim Heddam, Mariusz Ptak, Mariusz Sojka, Sungwon Kim, Anurag Malik, Ozgur Kisi, Mohammad Zounemat-Kermani
Least square support vector machine-based variational mode decomposition: a new hybrid model for daily river water temperature modeling. Environmental science and pollution research international 29 (47) (2022)
Saddam Babouri, Sophia Metallaoui, Salim Heddam
Abundance and spatial distribution of the structure supporting the nest of White Stork Ciconia ciconia in Guerbes-Sanhadja wetland eco-complex, northeastern of Algeria. Environmental science and pollution research international 27 (36) (2020)
Behrooz Keshtegar, Salim Heddam, Abderrazek Sebbar, Shun-Peng Zhu, Nguyen-Thoi Trung
SVR-RSM: a hybrid heuristic method for modeling monthly pan evaporation. Environmental science and pollution research international 26 (35) (2019)
Salim Heddam, Michael J Watts, Larbi Houichi, Lakhdar Djemili, Abderrazek Sebbar
Evolving connectionist systems (ECoSs): a new approach for modeling daily reference evapotranspiration (ET0). Environmental monitoring and assessment 190 (9) (2018)
Salim Heddam, Ozgur Kisi
Extreme learning machines: a new approach for modeling dissolved oxygen (DO) concentration with and without water quality variables as predictors. Environmental science and pollution research international 24 (20) (2017)

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Publication Activity (10 Years)

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Salim Heddam