Predicting the spread of Covid-19 virus using Java and neural networks
Track
Core Java, Frameworks & Servers
Date and time
-
Room
-
Duration
30'
In order to prevent the spread of a virus pandemic, a "lock-down" of a certain area or country is often resorted to, ie restrictions on the free movement of people, which significantly affects the economy of the region. Instead of such drastic measures, it is possible to predict the movement of people on the basis of which it is possible to estimate how fast the virus will spread and to which areas with regard to the detected foci. Based on this, it can be assessed which areas need to be placed in isolation to prevent the free spread of the virus, without the need for a complete “lock-down” of the entire region or state. This presentation will show how Java and libraries can be used to support the implementation of artificial neural networks to implement an application that can simulate the spread of viruses in the future and make the best decisions to minimize the impact on human health and the economy.
Lecture details
About speaker
Aleksander Radovan, author
Aleksander Radovan graduated from the University of Zagreb, Faculty of Electrical Engineering and Computing, and is currently finishing the PhD program. He has more than 15 years of experience with Java, and is currently employed as the Director of Software Delivery at BISS. As a Senior Lecturer, he is teaching at several university colleges a number of popular courses in programming and information systems, mostly based on Java and related technologies. He is the author of many educational materials and courses, as well as numerous conference papers. His research interests include areas such as artificial intelligence, genetic algorithms, robotics, and software development. He is also the president of the Committee for Education at the Croatian Java User Association (HUJAK).
Patrik Gregović, coauthor
Patrik Gregović is a student at the Rochester Institute of Technology Croatia in Zagreb (RIT Croatia), majoring in Web and Mobile Computing. He is currently working as a Java developer at BISS d.o.o. He is working on research related to the use of neural networks on the basis of which it is possible to make predictions of various events and activities.
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