Overview
- Examines the methodology for predicting rare events and phenomena
- Helps to determine the actual moment of the onset of technological disasters
- Provides a comprehensive presentation of information from data collection to their assessment
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: SpringerBriefs in Computational Intelligence (BRIEFSINTELL)
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Table of contents (5 chapters)
Keywords
About this book
This book presents a methodology for forecasting events and phenomena occurring in technology and natural environments. The methodology is based on forecasting the individual state of the control object, which is carried out based on the analysis of the trend behavior of the controlled parameter (symptom of the disease). The methodology helps determining the time of the onset of a destructive earthquake, its strength and the coordinates of the epicentre, predicting the time of the descent of glaciers and landslides long before the event. In medicine, the methodology predicts the severity of a disease and forecast of its aggravation.
Authors and Affiliations
About the authors
Anton Panda is Professor at FMT TU Košice as well as auditor of quality system management at Technical University in Košice. He deals with production technologies, experimental methods and bearing production. He is a member of the Polish Academy of Sciences.
Volodymyr Nahornyi is a Senior Lecturer in the Department of Computer Science, Section of Information Technology of Design in Sumy State University. He develops courses such as CAD/CAM systems integration, mobile programming, methods and tools for processing visual information, and technologies for creating software products.
Bibliographic Information
Book Title: Forecasting Catastrophic Events in Technology, Nature and Medicine
Authors: Anton Panda, Volodymyr Nahornyi
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-3-030-65328-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Softcover ISBN: 978-3-030-65327-9Published: 06 March 2021
eBook ISBN: 978-3-030-65328-6Published: 05 March 2021
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: XVII, 97
Number of Illustrations: 24 b/w illustrations, 51 illustrations in colour
Topics: Engineering Mathematics, Complexity, Computational Intelligence