You are here:
» Groundwater level prediction using machine learning models
Groundwater level prediction using machine learning models: A comprehensive review
Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Review › Research › peer-review
- Hai Tao, Ankang University, Baoji University of Arts and Sciences, Universiti Teknologi MARA
, - Mohammed Majeed Hameed, Al-Maarif University College
, - Haydar Abdulameer Marhoon, Al-Ayen University, University of Kerbala
, - Mohammad Zounemat-Kermani, Shahid Bahonar University of Kerman
, - Salim Heddam, Hydraulics Division University
, - Kim Sungwon, Dongyang University
, - Sadeq Oleiwi Sulaiman, University Of Anbar
, - Mou Leong Tan, Universiti Sains Malaysia
, - Zulfaqar Sa'adi, Universiti Teknologi Malaysia
, - Ali Danandeh Mehr, Antalya Bilim University
, - Mohammed Falah Allawi, University Of Anbar
, - S. I. Abba, King Fahd University of Petroleum and Minerals, Yusuf Maitama Sule University, Kano
, - Jasni Mohamad Zain, Universiti Teknologi MARA
, - Mayadah W. Falah, Al-Mustaqbal University College
, - Mehdi Jamei, Shahid Chamran University of Ahvaz
, - Neeraj Dhanraj Bokde
- Maryam Bayatvarkeshi, Malayer University
, - Mustafa Al-Mukhtar, University of Technology- Iraq
, - Suraj Kumar Bhagat, Ton Duc Thang University
, - Tiyasha Tiyasha, Ton Duc Thang University
, - Khaled Mohamed Khedher, King Khalid University, Mrezgua University Campus
, - Nadhir Al-Ansari, Luleå University of Technology
, - Shamsuddin Shahid, Faculty of Engineering
, - Zaher Mundher Yaseen, University of Southern Queensland, Al-Ayen University
| Original language | English |
|---|
| Journal | Neurocomputing |
|---|
| Volume | 489 |
|---|
| Pages (from-to) | 271-308 |
|---|
| Number of pages | 38 |
|---|
| ISSN | 0925-2312 |
|---|
| DOIs | |
|---|
| Publication status | Published - Jun 2022 |
|---|
See relations at Aarhus University
Citationformats
ID: 262880982
