Home ›
Entities
› academia
› Spatial Prediction of Groundwater Withdrawal Potential Using Shallow, Hybrid, and Deep Learning Algorithms in the Toudgha Oasis, Southeast Morocco
Spatial Prediction of Groundwater Withdrawal Potential Using Shallow, Hybrid, and Deep Learning Algorithms in the Toudgha Oasis, Southeast Morocco
Research article (Sustainability, 2023) · cited 20× · AI/ML
Spatial Prediction of Groundwater Withdrawal Potential Using Shallow, Hybrid, and Deep Learning Algorithms in the Toudgha Oasis, Southeast Morocco
Summary
Spatial Prediction of Groundwater Withdrawal Potential Using Shallow, Hybrid, and Deep Learning Algorithms in the Toudgha Oasis, Southeast Morocco is a scholarly article[1].
Key Facts
Spatial Prediction of Groundwater Withdrawal Potential Using Shallow, Hybrid, and Deep Learning Algorithms in the Toudgha Oasis, Southeast Morocco's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Spatial Prediction of Groundwater Withdrawal Potential Using Shallow, Hybrid, and Deep Learning Algorithms in the Toudgha Oasis, Southeast Morocco. Retrieved May 24, 2026, from https://4ort.xyz/entity/spatial-prediction-of-groundwater-withdrawal-potential-using-shallow-hybrid-and-deep-learning-algorithms-in-the-toudgha-
MLA“Spatial Prediction of Groundwater Withdrawal Potential Using Shallow, Hybrid, and Deep Learning Algorithms in the Toudgha Oasis, Southeast Morocco.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/spatial-prediction-of-groundwater-withdrawal-potential-using-shallow-hybrid-and-deep-learning-algorithms-in-the-toudgha-.
BibTeX@misc{4ortxyz_spatial-prediction-of-groundwater-withdrawal-potential-using-shallow-hybrid-and-deep-learning-algorithms-in-the-toudgha-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Spatial Prediction of Groundwater Withdrawal Potential Using Shallow, Hybrid, and Deep Learning Algorithms in the Toudgha Oasis, Southeast Morocco}}, year = {2026}, url = {https://4ort.xyz/entity/spatial-prediction-of-groundwater-withdrawal-potential-using-shallow-hybrid-and-deep-learning-algorithms-in-the-toudgha-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Spatial Prediction of Groundwater Withdrawal Potential Using Shallow, Hybrid, and Deep Learning Algorithms in the Toudgha Oasis, Southeast Morocco — https://4ort.xyz/entity/spatial-prediction-of-groundwater-withdrawal-potential-using-shallow-hybrid-and-deep-learning-algorithms-in-the-toudgha- (retrieved 2026-05-24)
