Hybrid dynamic arithmetic city council optimization for improved rainfall prediction

In the meteorological department rainfall prediction is one of the complex tasks because it is directly linked to human life and the Indian economy. There is a significant demand for accurate and effective rainfall prediction methods to make better decisions regarding precautionary measures. To pred...

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Vydané v:	International journal of system assurance engineering and management Ročník 15; číslo 7; s. 3182 - 3192
Hlavní autori:	Lathika, P., Singh, D. Sheeba
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New Delhi Springer India 01.07.2024 Springer Nature B.V
Predmet:	Accuracy Agriculture Algorithms Arithmetic Artificial intelligence Correlation analysis Datasets Deep learning Developing countries Effectiveness Efficiency Engineering Engineering Economics Evolutionary algorithms Forecasting LDCs Logistics Marketing Missing data Municipal government Neural networks Optimization Organization Original Article Precipitation Preprocessing Quality Control Rain Rainfall Reliability Root-mean-square errors Safety and Risk Task complexity Wavelet transforms India City councils evolution algorithm Open weather dataset Dynamic arithmetic optimization algorithm Correlation matrix Rainfall prediction
ISSN:	0975-6809, 0976-4348
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