Machine learning for predicting landslide risk of Rohingya refugee camp infrastructure

Ahmed, Nahian; Firoze, Adnan; Rahman, Rashedur M.

doi:10.1080/24751839.2019.1704114

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Machine learning for predicting landslide risk of Rohingya refugee camp infrastructure

Author(s): Nahian Ahmed ¹ , Adnan Firoze ¹ , Rashedur M. Rahman ¹

Publication date (Electronic): January 23 2020

Journal: Journal of Information and Telecommunication

Publisher: Informa UK Limited

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Random forest in remote sensing: A review of applications and future directions

Lucian Drǎguţ, Mariana Belgiu (2016)

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The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan

Hiromitsu Yamagishi, Lulseged Ayalew (2005)

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Landslide susceptibility mapping using multi-criteria evaluation techniques in Chittagong Metropolitan Area, Bangladesh

Bayes Ahmed (2015)

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Nahian Ahmed: (View ORCID Profile)

Adnan Firoze: (View ORCID Profile)

Rashedur M. Rahman: (View ORCID Profile)

Journal

Title: Journal of Information and Telecommunication

Abbreviated Title: Journal of Information and Telecommunication

Publisher: Informa UK Limited

ISSN (Print): 2475-1839

ISSN (Electronic): 2475-1847

Publication date Created: April 02 2020

Publication date (Electronic): January 23 2020

Publication date (Print): April 02 2020

Volume: 4

Issue: 2

Pages: 175-198

Affiliations

[1 ] Department of Electrical and Computer Engineering, North South University, Dhaka, Bangladesh

Article

DOI: 10.1080/24751839.2019.1704114

SO-VID: 714899e3-d8b8-453e-9b8a-7a4de3a2dddb

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http://creativecommons.org/licenses/by/4.0/

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Machine learning for predicting landslide risk of Rohingya refugee camp infrastructure

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Most cited references 10

Random forest in remote sensing: A review of applications and future directions

The application of GIS-based logistic regression for landslide susceptibility mapping in the Kakuda-Yahiko Mountains, Central Japan

Landslide susceptibility mapping using multi-criteria evaluation techniques in Chittagong Metropolitan Area, Bangladesh

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