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Regional rainfall prediction using support vector machine classification of large-scale precipitation maps
(Institute of Electrical and Electronics Engineers Inc., 2020)
Rainfall prediction helps planners anticipate potential social and economic impacts produced by too much or too little rain. This research investigates a class-based approach to rainfall prediction from 1-30 days in advance. ...
Groundwater prediction using machine-learning tools
(MPDI, 2020)
Predicting groundwater availability is important to water sustainability and drought mitigation. Machine-learning tools have the potential to improve groundwater prediction, thus enabling resource planners to: (1) anticipate ...
Complex sequential data analysis: A systematic literature review of existing algorithms
(SAICSIT, 2020)
This paper provides a review of past approaches to the use of
deep-learning frameworks for the analysis of discrete irregularpatterned complex sequential datasets. A typical example of
such a dataset is financial data ...
Basic statistical estimation outperforms machine learning in monthly prediction of seasonal climatic parameters
(MPDI, 2021)
Machine learning (ML) has been utilized to predict climatic parameters, and many successes
have been reported in the literature. In this paper, we scrutinize the effectiveness of five widely
used ML algorithms in the ...