Utilising key climate element variability for the prediction of future climate change using a support vector machine model-Reference-Cited by-同舟云学术

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Utilising key climate element variability for the prediction of future climate change using a support vector machine model

Published:2016 Issue:2 Volume:9 Page:129
ISSN:1758-2083
Container-title:International Journal of Global Warming
language:en
Short-container-title:IJGW

Author:

Abubakar Adamu,Chiroma Haruna,Zeki Akram,Uddin Mueen

Publisher

Inderscience Publishers

Subject

Management, Monitoring, Policy and Law,Atmospheric Science,Global and Planetary Change

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Temperature Reconstruction in the Southern Margin of Taklimakan Desert from Tamarix Cones Using GWO-SVM Model;Sustainability;2023-07-10

2. Investigating the Effectiveness of Novel Support Vector Neural Network for Anomaly Detection in Digital Forensics Data;Sensors;2023-06-15

3. Prediction and Analysis of Sentiments of Reddit Users towards the Climate Change Crisis;2023 International Conference on Networking and Communications (ICNWC);2023-04-05

4. Time series prediction based on machine learning: A case study, temperature forecasting in Vietnam;Journal of Military Science and Technology;2023-02-28

5. Using Long Short-Term Memory (LSTM) and Internet of Things (IoT) for Localized Surface Temperature Forecasting in an Urban Environment;IEEE Access;2021

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