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Evaluating the Performance of Machine Learning and Deep Learning Techniques to HyMap Imagery for Lithological Mapping in a Semi-Arid Region: Case Study from Western Anti-Atlas, Morocco
Research article (Minerals, 2023) · cited 34× · AI/ML
Evaluating the Performance of Machine Learning and Deep Learning Techniques to HyMap Imagery for Lithological Mapping in a Semi-Arid Region: Case Study from Western Anti-Atlas, Morocco
Summary
Evaluating the Performance of Machine Learning and Deep Learning Techniques to HyMap Imagery for Lithological Mapping in a Semi-Arid Region: Case Study from Western Anti-Atlas, Morocco is a scholarly article[1].
Key Facts
Evaluating the Performance of Machine Learning and Deep Learning Techniques to HyMap Imagery for Lithological Mapping in a Semi-Arid Region: Case Study from Western Anti-Atlas, Morocco's instance of is recorded as scholarly article[2].
References
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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). Evaluating the Performance of Machine Learning and Deep Learning Techniques to HyMap Imagery for Lithological Mapping in a Semi-Arid Region: Case Study from Western Anti-Atlas, Morocco. Retrieved May 24, 2026, from https://4ort.xyz/entity/evaluating-the-performance-of-machine-learning-and-deep-learning-techniques-to-hymap-imagery-for-lithological-mapping-in
MLA“Evaluating the Performance of Machine Learning and Deep Learning Techniques to HyMap Imagery for Lithological Mapping in a Semi-Arid Region: Case Study from Western Anti-Atlas, Morocco.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/evaluating-the-performance-of-machine-learning-and-deep-learning-techniques-to-hymap-imagery-for-lithological-mapping-in.
BibTeX@misc{4ortxyz_evaluating-the-performance-of-machine-learning-and-deep-learning-techniques-to-hymap-imagery-for-lithological-mapping-in_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Evaluating the Performance of Machine Learning and Deep Learning Techniques to HyMap Imagery for Lithological Mapping in a Semi-Arid Region: Case Study from Western Anti-Atlas, Morocco}}, year = {2026}, url = {https://4ort.xyz/entity/evaluating-the-performance-of-machine-learning-and-deep-learning-techniques-to-hymap-imagery-for-lithological-mapping-in}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Evaluating the Performance of Machine Learning and Deep Learning Techniques to HyMap Imagery for Lithological Mapping in a Semi-Arid Region: Case Study from Western Anti-Atlas, Morocco — https://4ort.xyz/entity/evaluating-the-performance-of-machine-learning-and-deep-learning-techniques-to-hymap-imagery-for-lithological-mapping-in (retrieved 2026-05-24)
