id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-301829-6yrgkx96	Bhardwaj, Rashmi	Data Driven Estimation of Novel COVID-19 Transmission Risks Through Hybrid Soft-Computing Techniques	2020-07-25		.txt	text/plain	1967	115	53	Wavelet-based forecasting model predicts for shorter time span such as five to ten days advanced number of confirmed, death and recovered cases of China, India and USA. Study forecasted impending COVID-19 spread cases for China plus some other regions using mathematical & traditional time-series prediction models [22] . None of the authors have studied the wavelet based neuronal fuzzification hybrid model for the data of countrywise spread of COVID-19 genome. The forecast of 50-60 days ahead varying in every case helps to understand the clear picture of the pandemic spread and the manner in which the transmission rate may change in the following time periods in these three countries India, China and America. Data-based analysis, modelling and forecasting of the COVID-19 outbreak Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis	./cache/cord-301829-6yrgkx96.txt	./txt/cord-301829-6yrgkx96.txt