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Oznake: computer science;data mining;pattern mining applications
The discovery of biclusters, which denote groups of items that show coherent values across a subset of all the transactions in a data set, is an important type of analysis performed on real-valued data sets in various domains, such as biology. Several algorithms have been proposed to find different ...
Leto: 2009 Vir: videolectures.net
Izvirni znanstveni članek
Oznake: epidemic modeling;machine learning;neural networks;pandemic forecasting;time-series forecasting;
Epidemiological modeling is an important problem around the world. This research presents COVID-19 analysis to understand which model works better for different regions. A comparative analysis of three growth curve fitting models (Gompertz, Logistic, and Exponential), two mathematical models (SEIR a ...
Leto: 2021 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake: COVID-19;India;spread exposed infected recovered model;regression model;machine learning;predictions;forecasting;
The COVID-19 pandemic has become a major threat to the whole world. Analysis of this disease requires major attention by the government in all countries to take necessary steps in reducing the effect of this global pandemic. In this study, outbreak of this disease has been analysed and trained for I ...
Leto: 2020 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
Izvirni znanstveni članek
Oznake: novel corona virus;location technology;contact tracing applications;Aarogya Setu App;data science;data analysis;
Role of technology is improving for COVID-19 management all around the world. Usage of mobile applications, web applications, cloud computing, and related technologies have helped many public administrators worldwide manage the current pandemic. Contact tracing applications are such mobile app solut ...
Leto: 2021 Vir: Repozitorij Univerze v Novi Gorici (RUNG)
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