Smartphone-Based Classification of Petroleum-Affected Soils Under Variable Illumination: A Comparison of Machine Learning and Deep Learning

Supplementary MaterialSmartphone-Based Classification of Petroleum-Affected Soils Under Variable Illumination: A Comparison of Machine Learning and Deep LearningAuthors: Farah H. Al-Daihani, Kutay Icoz, Meshari Al Mutairi, Morsi M. MahmoudAffiliation: College of Engineering and Energy, Abdullah Al Salem University, KuwaitCorresponding author: Kutay Icoz; [email protected]

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-01
DOI
https://doi.org/10.5281/zenodo.23862264
Primary Topic
Remote-Sensing Image Classification
Type
article
Field-Weighted Citation Impact
0.00
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article

Smartphone-Based Classification of Petroleum-Affected Soils Under Variable Illumination: A Comparison of Machine Learning and Deep Learning

Kutay İçöz
Zenodo (CERN European Organization for Nuclear Research)
Remote-Sensing Image Classification
article

Smartphone-Based Classification of Petroleum-Affected Soils Under Variable Illumination: A Comparison of Machine Learning and Deep Learning

Kutay İçöz
article en

Abstract

Supplementary MaterialSmartphone-Based Classification of Petroleum-Affected Soils Under Variable Illumination: A Comparison of Machine Learning and Deep LearningAuthors: Farah H. Al-Daihani, Kutay Icoz, Meshari Al Mutairi, Morsi M. MahmoudAffiliation: College of Engineering and Energy, Abdullah Al Salem University, KuwaitCorresponding author: Kutay Icoz; [email protected]

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 15%
Remote-Sensing Image Classification
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Smartphone-Based Classification of Petroleum-Affected Soils Under Variable Illumination: A Comparison of Machine Learning and Deep Learning — Kutay İçöz · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS