Evaluating the influence of road construction on landslide susceptibility in Saudi Arabia's mountainous terrain: a Bayesian-optimised deep learning approach with attention mechanism and sensitivity analysis.

Alqadhi, Saeed; Mallick, Javed; Hang, Hoang Thi; Al Asmari, Abdullah Faiz Saeed; Kumari, Rina

Alqadhi, Saeed; Mallick, Javed; Hang, Hoang Thi; Al Asmari, Abdullah Faiz Saeed; Kumari, Rina.

Afiliación

Alqadhi S; Department of Civil Engineering, College of Engineering, King Khalid University, P.O. Box: 394, Abha, 61411, Kingdom of Saudi Arabia.
Mallick J; Department of Civil Engineering, College of Engineering, King Khalid University, P.O. Box: 394, Abha, 61411, Kingdom of Saudi Arabia. jmallick@kku.edu.sa.
Hang HT; Department of Geography, Faculty of Natural Sciences, Jamia Millia Islamia, New Delhi, 110025, India.
Al Asmari AFS; Department of Civil Engineering, College of Engineering, King Khalid University, P.O. Box: 394, Abha, 61411, Kingdom of Saudi Arabia.
Kumari R; School of Environment and Sustainable Development (SESD), Central University of Gujarat, Gujarat, India.

Environ Sci Pollut Res Int ; 31(2): 3169-3194, 2024 Jan.

Article en En | MEDLINE | ID: mdl-38082044

Asunto(s)

Aprendizaje Profundo; Deslizamientos de Tierra; Humanos; Sistemas de Información Geográfica; Teorema de Bayes; Arabia Saudita

Palabras clave

Bayesian optimisation; Deep learning models; Landslide susceptibility; Mountainous region of Aqabat Al-Sulbat Asir region of Saudi Arabia; Road construction; Sensitivity analysis

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 1_ASSA2030 Problema de salud: 1_surtos_doencas_emergencias Asunto principal: Deslizamientos de Tierra / Aprendizaje Profundo Límite: Humans País/Región como asunto: Asia Idioma: En Revista: Environ Sci Pollut Res Int Asunto de la revista: SAUDE AMBIENTAL / TOXICOLOGIA Año: 2024 Tipo del documento: Article

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