Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area

Research article (CATENA, 2020) · cited 153× · AI/ML
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Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area

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Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area is a scholarly article[1].

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  • Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area. Retrieved May 24, 2026, from https://4ort.xyz/entity/effectiveness-assessment-of-keras-based-deep-learning-with-different-robust-optimization-algorithms-for-shallow-landslid
MLA “Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/effectiveness-assessment-of-keras-based-deep-learning-with-different-robust-optimization-algorithms-for-shallow-landslid.
BibTeX @misc{4ortxyz_effectiveness-assessment-of-keras-based-deep-learning-with-different-robust-optimization-algorithms-for-shallow-landslid_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area}}, year = {2026}, url = {https://4ort.xyz/entity/effectiveness-assessment-of-keras-based-deep-learning-with-different-robust-optimization-algorithms-for-shallow-landslid}, note = {Accessed: 2026-05-24}}
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