Theo dơi
Nadhir Al-Ansari
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Influence of data splitting on performance of machine learning models in prediction of shear strength of soil
QH Nguyen, HB Ly, LS Ho, N Al-Ansari, HV Le, VQ Tran, I Prakash, ...
Mathematical Problems in Engineering 2021, 1-15, 2021
Management of water resources in Iraq: perspectives and prognoses
N Al-Ansari
Engineering 5 (6), 667-684, 2013
Flood detection and susceptibility mapping using sentinel-1 remote sensing data and a machine learning approach: Hybrid intelligence of bagging ensemble based on k-nearest …
H Shahabi, A Shirzadi, K Ghaderi, E Omidvar, N Al-Ansari, JJ Clague, ...
Remote Sensing 12 (2), 266, 2020
Sand and dust storm events in Iraq
V Sissakian, N Al-Ansari, S Knutsson
Journal of Natural Science 5 (10), 1084-1094, 2013
Impact of COVID-19 lockdown on NO2, O3, PM2. 5 and PM10 concentrations and assessing air quality changes in Baghdad, Iraq
BM Hashim, SK Al-Naseri, A Al-Maliki, N Al-Ansari
Science of the Total Environment 754, 141978, 2021
Crop water requirements and irrigation schedules for some major crops in Southern Iraq
SH Ewaid, SA Abed, N Al-Ansari
Water 11 (4), 756, 2019
Toward prudent management of water resources in Iraq
N Al-Ansari, S Knutsson
Journal of Advanced Science and Engineering Research 2011 (1), 53-67, 2011
Development and evaluation of a water quality index for the Iraqi rivers
SH Ewaid, SA Abed, N Al-Ansari, RM Salih
Hydrology 7 (3), 67, 2020
Shallow landslide susceptibility mapping: A comparison between logistic model tree, logistic regression, naïve bayes tree, artificial neural network, and support vector machine …
VH Nhu, A Shirzadi, H Shahabi, SK Singh, N Al-Ansari, JJ Clague, ...
International journal of environmental research and public health 17 (8), 2749, 2020
Waste foundry sand/MgFe-layered double hydroxides composite material for efficient removal of Congo red dye from aqueous solution
DN Ahmed, LA Naji, AAH Faisal, N Al-Ansari, M Naushad
Scientific Reports 10 (1), 2042, 2020
Soft computing ensemble models based on logistic regression for groundwater potential mapping
PT Nguyen, DH Ha, M Avand, A Jaafari, HD Nguyen, N Al-Ansari, ...
Applied Sciences 10 (7), 2469, 2020
Groundwater level prediction using machine learning models: A comprehensive review
H Tao, MM Hameed, HA Marhoon, M Zounemat-Kermani, S Heddam, ...
Neurocomputing 489, 271-308, 2022
Precipitation projection using a CMIP5 GCM ensemble model: a regional investigation of Syria
R Homsi, MS Shiru, S Shahid, T Ismail, SB Harun, N Al-Ansari, KW Chau, ...
Engineering Applications of Computational Fluid Mechanics 14 (1), 90-106, 2020
GIS based hybrid computational approaches for flash flood susceptibility assessment
BT Pham, M Avand, S Janizadeh, TV Phong, N Al-Ansari, LS Ho, S Das, ...
Water 12 (3), 683, 2020
A review on emerging water contaminants and the application of sustainable removal technologies
R Kumar, M Qureshi, DK Vishwakarma, N Al-Ansari, A Kuriqi, A Elbeltagi, ...
Case Studies in Chemical and Environmental Engineering 6, 100219, 2022
Deep learning data-intelligence model based on adjusted forecasting window scale: application in daily streamflow simulation
M Fu, T Fan, Z Ding, SQ Salih, N Al-Ansari, ZM Yaseen
Ieee Access 8, 32632-32651, 2020
Performance evaluation of machine learning methods for forest fire modeling and prediction
BT Pham, A Jaafari, M Avand, N Al-Ansari, T Dinh Du, HPH Yen, ...
Symmetry 12 (6), 1022, 2020
Water footprint of wheat in Iraq
SH Ewaid, SA Abed, N Al-Ansari
Water 11 (3), 535, 2019
Present conditions and future challenges of water resources problems in Iraq
N Al-Ansari, A Ali, S Knutsson
Journal of Water Resource and Protection 6 (12), 1066-1098, 2014
Seasonal drought pattern changes due to climate variability: Case study in Afghanistan
I Qutbudin, MS Shiru, A Sharafati, K Ahmed, N Al-Ansari, ZM Yaseen, ...
Water 11 (5), 1096, 2019
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