Machine Learning Algorithms to Predict Groundwater Productivity in Iraq

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Data Analysis Techniques and Strategies
Published
2025-11-21
DOI
https://doi.org/10.1504/ijdats.2026.10074703
Primary Topic
Hydrological Forecasting Using AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine Learning Algorithms to Predict Groundwater Productivity in Iraq

Qahtan M. Yas, Younis K. Hamead
International Journal of Data Analysis Techniques and Strategies
Hydrological Forecasting Using AI
article

Machine Learning Algorithms to Predict Groundwater Productivity in Iraq

Qahtan M. Yas, Younis K. Hamead
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Data Analysis Techniques and StrategiesVol. 18(3)
Openalex Percentile: Top 67%
Hydrological Forecasting Using AI
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Machine Learning Algorithms to Predict Groundwater Productivity in Iraq — Qahtan M. Yas, Younis K. Hamead · International Journal of Data Analysis Techniques and Strategies (2025) | TGRS Research Map | TGRS