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Forecasting Catastrophic Events in Technology, Nature and Medicine


Forecasting Catastrophic Events in Technology, Nature and Medicine


SpringerBriefs in Applied Sciences and Technology

von: Anton Panda, Volodymyr Nahornyi

53,49 €

Verlag: Springer
Format: PDF
Veröffentl.: 05.03.2021
ISBN/EAN: 9783030653286
Sprache: englisch

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Beschreibungen

<p></p><p>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.</p><p></p>
Introduction.-&nbsp;Analysis of current state of forecasting objects and phenomena.-&nbsp;Specification of problems solutions.-&nbsp;Application of the developed forecasting methodology in various spheres of human activity.-&nbsp;Conclusion.-&nbsp;References.
<p></p><p>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.</p><p> </p><p>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.&nbsp;</p><p></p>
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

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