02541nam#a2200277#i#4500001000500000005001700005008004000022020002300062044000900085072009000094080017100184084007500355084009100430084008200521084006500603100006600668100015000734100009300884100005300977245016301030260004401193300001201237500096401249533003302213856001702246359120260319044534.4  20260318d2026####ek#y0engy0150####ca##$a978-5-369-02184-2##$axxu#7$aComputer Science. COM014000$aNeural Networks. COM044000$aSocial Aspects. COM079000##$aРаспознавание и преобразование образов. 004.93$aГорное дело. 622$aИскусственный интеллект. 004.8##$aОБЩЕЕ И МЕЖДИСЦИПЛИНАРНОЕ ЗНАНИЕ. 12bbk##$aИнформатика и вычислительная техника. 09.00.002okso##$aИнформатика. Вычислительная техника. 512tbk##$aИскусственный интеллект. 28.232grnti#1$aKramarov, Sergey Olegovich$aBU VO "Surgut State University"#1$aSaharova, Lyudmila Viktorovna$aРостовский государственный экономический университет (РИНХ)#1$aPopov, Oleg Ruslanovich$aNational University of Science and Technology "MISIS"#1$aMityasova, Ol'ga Yur'evna$aBusiness IT company00$aDevelopment of intelligent analytical and recommendation systems of professional orientation based on psychophysical profiling and AI algorithms$cMonography1#$aMoscow$bPublishing Center RIOR$c2026##$a200 p.##$aThis publication presents the results of a review of theoretical concepts and practical approaches for designing complex analytical recommendation systems based on artificial intelligence (AI) algorithms that use biometric data and indicators of mental and physical condition as reliable predictors of professional success. The relevance of the research is determined by the need to minimize personnel risks, reduce the level of professional burnout and ensure maximum synergy between the cognitive potential of a person and the requirements of a particular profession.
The monograph is intended for researchers and teachers, graduate students, undergraduates, and engineers specializing in artificial intelligence.$aArtificial intelligence, "digital twin", professional orientation, neurodynamic properties of the nervous system, psychophysical profile, labor market, Industry 4.0, human capital, labor resources, digital transformation$a10.29039/02184-2##$aThere is an electronic copy4#$ariorpub.com