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Lightning casualties cause tremendous loss to life and property. However, very lately lightning has been considered as one of the major natural calamities which is now studied or monitored with proper instrumentation. The lightning characteristics over India have been studying by using daily data low resolution time series and monthly data high resolution monthly climatology. We have used ANN time series method (a neural network) to analyze the time series and defined which one will be the best predictor of lightning over India. The time series of lightning is output(dependent) and input (independent) are k-index, AOD, Cape etc. The Gaussian process regression, support vector machine, regression trees and linear regression defined the input variables. Which show approximately linear relation.
Many problems in climate science require the identification of signals obscured by both the noise of internal climate variability and differences across models. Following previous work, we train an artificial neural network (ANN) to identify the year
An update on recent methods for automated stellar parametrization is given. We present preliminary results of the ongoing program for rapid parametrization of field stars using medium resolution spectra obtained using Vainu Bappu Telescope at VBO, Ka
Ischemic heart disease (IHD), particularly in its chronic stable form, is a subtle pathology due to its silent behavior before developing in unstable angina, myocardial infarction or sudden cardiac death. Machine learning techniques applied to parame
Tropical cyclones are one of the most powerful and destructive natural phenomena on earth. Tropical storms and heavy rains can cause floods, which lead to human lives and economic loss. Devastating winds accompanying cyclones heavily affect not only
During a winter thunderstorm on November 24, 2017, a downward terrestrial gamma-ray flash took place and triggered photonuclear reactions with atmospheric nitrogen and oxygen nuclei, coincident with a lightning discharge at the Kashiwazaki-Kariwa nuc