A comparative evaluation of machine learning algorithms and an improved optimal model for landslide susceptibility: a case study

Geomatics Natural Hazards and Risk ◽

10.1080/19475705.2021.1955018 ◽

2021 ◽

Vol 12 (1) ◽

pp. 1973-2001

Author(s):

Yue Liu ◽

Peihua Xu ◽

Chen Cao ◽

Bo Shan ◽

Kuanxing Zhu ◽

...

Keyword(s):

Machine Learning ◽

Landslide Susceptibility ◽

Comparative Evaluation ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

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Assessment of GIS-Based Machine Learning Algorithms for Spatial Modeling of Landslide Susceptibility: Case Study in Iran

Comprehensive Geographic Information Systems ◽

10.1016/b978-0-12-409548-9.10461-0 ◽

2018 ◽

pp. 258-280 ◽

Author(s):

Alireza Motevalli ◽

Hamid Reza Pourghasemi ◽

Mohsen Zabihi

Keyword(s):

Machine Learning ◽

Spatial Modeling ◽

Landslide Susceptibility ◽

Learning Algorithms ◽

Machine Learning Algorithms

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A comparative evaluation of supervised machine learning algorithms for township level landslide susceptibility zonation in parts of Indian Himalayas

CATENA ◽

10.1016/j.catena.2020.104751 ◽

2020 ◽

Vol 195 ◽

pp. 104751 ◽

Author(s):

Bipin Peethambaran ◽

R. Anbalagan ◽

D.P. Kanungo ◽

Ajanta Goswami ◽

K.V. Shihabudheen

Keyword(s):

Machine Learning ◽

Landslide Susceptibility ◽

Comparative Evaluation ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Supervised Machine Learning ◽

Landslide Susceptibility Zonation ◽

Indian Himalayas

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Twitter Sentiment Analysis Using Machine Learning Algorithms: A Case Study

2020 International Conference on Advances in Computing, Communication & Materials (ICACCM) ◽

10.1109/icaccm50413.2020.9213011 ◽

2020 ◽

Author(s):

Sheresh Zahoor ◽

Rajesh Rohilla

Keyword(s):

Machine Learning ◽

Sentiment Analysis ◽

Learning Algorithms ◽

Machine Learning Algorithms

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Estimating Lead Time Using Machine Learning Algorithms: A Case Study by a Textile Company

10.1109/asyu52992.2021.9599012 ◽

2021 ◽

Author(s):

Ceren Atik ◽

Recen Alp Kut ◽

Safak Birol

Keyword(s):

Machine Learning ◽

Lead Time ◽

Learning Algorithms ◽

Machine Learning Algorithms

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Comparative Evaluation of Machine Learning Algorithms for Network Intrusion Detection Using Weka

Towards Extensible and Adaptable Methods in Computing ◽

10.1007/978-981-13-2348-5_15 ◽

2018 ◽

pp. 195-208 ◽

Author(s):

Nureni Ayofe Azeez ◽

Obinna Justin Asuzu ◽

Sanjay Misra ◽

Adewole Adewumi ◽

Ravin Ahuja ◽

...

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Comparative Evaluation ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Network Intrusion Detection ◽

Network Intrusion

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Application of Machine Learning Algorithms and Their Ensemble for Landslide Susceptibility Mapping

Understanding and Reducing Landslide Disaster Risk - ICL Contribution to Landslide Disaster Risk Reduction ◽

10.1007/978-3-030-60227-7_25 ◽

2020 ◽

pp. 233-239

Author(s):

Bahareh Kalantar ◽

Naonori Ueda ◽

Vahideh Saeidi ◽

Parisa Ahmadi

Keyword(s):

Machine Learning ◽

Landslide Susceptibility ◽

Learning Algorithms ◽

Susceptibility Mapping ◽

Machine Learning Algorithms ◽

Landslide Susceptibility Mapping

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Detection of Slums from Very High-Resolution Satellite Images Using Machine Learning Algorithms: A Case Study of Fustat Area in Cairo, Egypt

Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES) ◽

10.5109/4102491 ◽

2020 ◽

Vol 6 ◽

pp. 219-224

Author(s):

Muhammad Salem ◽

Naoki Tsurusaki ◽

Ahmed Eissa ◽

Taher Osman

Keyword(s):

Machine Learning ◽

High Resolution ◽

Satellite Images ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

High Resolution Satellite Images ◽

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Landslide susceptibility mapping using GIS-based machine learning algorithms for the Northeast Chongqing Area, China

Arabian Journal of Geosciences ◽

10.1007/s12517-021-08871-w ◽

2021 ◽

Vol 14 (24) ◽

Author(s):

Zhigang Bai ◽

Qimeng Liu ◽

Yu Liu

Keyword(s):

Machine Learning ◽

Landslide Susceptibility ◽

Learning Algorithms ◽

Susceptibility Mapping ◽

Machine Learning Algorithms ◽

Landslide Susceptibility Mapping

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Identification of multi-element geochemical anomalies using unsupervised machine learning algorithms: A case study from Ag–Pb–Zn deposits in north-western Zhejiang, China

Applied Geochemistry ◽

10.1016/j.apgeochem.2020.104679 ◽

2020 ◽

Vol 120 ◽

pp. 104679 ◽

Author(s):

Jun Wang ◽

Yongzhang Zhou ◽

Fan Xiao

Keyword(s):

Machine Learning ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Unsupervised Machine Learning ◽

Geochemical Anomalies ◽

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GIS-based landslide susceptibility modeling: A comparison between fuzzy multi-criteria and machine learning algorithms

Geoscience Frontiers ◽

10.1016/j.gsf.2020.09.004 ◽

2021 ◽

Vol 12 (2) ◽

pp. 857-876

Author(s):

Sk Ajim Ali ◽

Farhana Parvin ◽

Jana Vojteková ◽

Romulus Costache ◽

Nguyen Thi Thuy Linh ◽

...

Keyword(s):

Machine Learning ◽

Landslide Susceptibility ◽

Learning Algorithms ◽

Machine Learning Algorithms ◽

Susceptibility Modeling

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