Proposing novel ensemble approach of particle swarm optimized and machine learning algorithms for drought vulnerability mapping in Jharkhand, India-Reference-Cited by-同舟云学术

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Proposing novel ensemble approach of particle swarm optimized and machine learning algorithms for drought vulnerability mapping in Jharkhand, India

Published:2021-11-18 Issue: Volume: Page:1-32
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Saha Sunil¹^ORCID,Gayen Amiya²^ORCID,Gogoi Priyanka¹,Kundu Barnali¹,Paul Gopal Chandra¹,Pradhan Biswajeet³⁴⁵⁶^ORCID

Affiliation:

1. Department of Geography, University of Gour Banga, Malda, West Bengal, India

2. Department of Geography, University of Calcutta, Kolkata, West Bengal, India

3. Centre for Advanced Modelling and Geospatial Information Systems (CAMGIS), University of Technology Sydney, Sydney, NSW, Australia

4. Department of Energy and Mineral Resources Engineering, Sejong University, Seoul, Korea

5. Center of Excellence for Climate Change Research, King Abdulaziz University, Jeddah, Saudi Arabia

6. Earth Observation Center, Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2021.1989500

Reference105 articles.

1. Performance evaluation of AquaCrop model for maize crop in a semi-arid environment

2. A Mixed Model Approach to Vegetation Condition Prediction Using Artificial Neural Networks (ANN): Case of Kenya’s Operational Drought Monitoring

3. Iris tissue recognition based on GLDM feature extraction and hybrid MLPNN-ICA classifier

4. An Investigation into the Spatial and Temporal Variability of the Meteorological Drought in Jordan

5. Monitoring Hydrometeorological Droughts Using a Simplified Precipitation Index

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3. Brittleness index prediction using modified random forest based on particle swarm optimization of Upper Ordovician Wufeng to Lower Silurian Longmaxi shale gas reservoir in the Weiyuan Shale Gas Field, Sichuan Basin, China;Geoenergy Science and Engineering;2024-02

4. Multi-hazard exposure mapping under climate crisis using random forest algorithm for the Kalimantan Islands, Indonesia;Scientific Reports;2023-08-18

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