LEADER 02422nam 2200493 450 001 9910483904603321 005 20211006095852.0 010 $a3-030-65328-5 024 7 $a10.1007/978-3-030-65328-6 035 $a(CKB)4100000011786596 035 $a(DE-He213)978-3-030-65328-6 035 $a(MiAaPQ)EBC6511557 035 $a(Au-PeEL)EBL6511557 035 $a(OCoLC)1240834634 035 $a(PPN)254721249 035 $a(EXLCZ)994100000011786596 100 $a20211006d2021 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aForecasting catastrophic events in technology, nature and medicine /$fAnton Panda, Volodymyr Nahornyi 205 $a1st ed. 2021. 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$dİ2021 215 $a1 online resource (XVII, 97 p. 75 illus., 51 illus. in color.) 225 1 $aSpringerBriefs in Computational Intelligence,$x2625-3704 311 $a3-030-65327-7 327 $aIntroduction -- Analysis of current state of forecasting objects and phenomena -- Specification of problems solutions -- Application of the developed forecasting methodology in various spheres of human activity -- Conclusion -- References. 330 $aThis book presents a methodology for forecasting events and phenomena occurring in technology and natural environments. The methodology is based on forecasting the individual state of the control object, which is carried out based on the analysis of the trend behavior of the controlled parameter (symptom of the disease). The methodology helps determining the time of the onset of a destructive earthquake, its strength and the coordinates of the epicentre, predicting the time of the descent of glaciers and landslides long before the event. In medicine, the methodology predicts the severity of a disease and forecast of its aggravation. 410 0$aSpringerBriefs in Computational Intelligence,$x2625-3704 606 $aForecasting$xMethodology 615 0$aForecasting$xMethodology. 676 $a003.2 700 $aPanda$b Anton$0763041 702 $aNahornyi$b Volodymyr 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483904603321 996 $aForecasting catastrophic events in technology, nature and medicine$91907192 997 $aUNINA