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Salsebil Bel Hadj Ali
Institution:
University of Jendouba
Observed institution:
University of Jendouba
ORCID:
0000-0003-1031-6319
Observed ORCID:
0000-0003-1031-6319
OpenAlex ID:
A5045872790
Exploring Machine Learning Models in Predicting Irrigation Groundwater Quality Indices for Effective Decision Making in Medjerda River Basin, Tunisia
2022
·
Fatma Trabelsi
, Salsebil Bel Hadj Ali
·
Sustainability
·
74
PDF
Comparison of Novel Hybrid and Benchmark Machine Learning Algorithms to Predict Groundwater Potentiality: Case of a Drought-Prone Region of Medjerda Basin, Northern Tunisia
2022
·
Fatma Trabelsi
, Salsebil Bel Hadj Ali
, et al.
·
Remote Sensing
·
27
PDF
The coupled hydrology–human activity information (CHHAI) dataset: a global benchmark dataset for model comparison and evaluation
2026
·
Azara Boschee
, Aneseh Alborzi
, et al.
·
Hydrological Sciences Journal
PDF
Coupled Hydrology-Human Activity Information (CHHAI) dataset
2026
·
Boschee, Azara
, Aneseh Alborzi
, et al.
·
CUAHSI
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Works count:
4
Citation count:
101
H-index:
2
I10-index:
2
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