INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Extreme weather events have become increasingly frequent and severe in recent years, posing significant challenges to societies, economies, and the environment. Accurate prediction of these events is crucial for disaster preparedness and climate resilience. While traditional weather prediction methods have limitations in predicting extreme events accurately, advancements in machine learning (ML) techniques show promise in improving weather forecasting. This study aims to evaluate the suitability of ML algorithms for predicting extreme weather events in Nigeria using geospatial data and climate variables. An extensive evaluation of ML methods will be conducted, and the results will provide valuable insights for disaster management and climate resilience in the region.
"Evaluating the Suitability of Machine Learning Algorithms for Predicting Extreme Weather Events in Nigeria using Geospatial Data and Climate Variables", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 8, page no.b949-b966, August-2023, Available :http://www.ijnrd.org/papers/IJNRD2308206.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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