02541nam#a2200277#i#450# 3591 20260319044553.4 20260318d2026####ek#y0engy0150####ca 978-5-369-02184-2 xxu Computer Science. COM014000 Neural Networks. COM044000 Social Aspects. COM079000 Распознавание и преобразование образов. 004.93 Горное дело. 622 Искусственный интеллект. 004.8 ОБЩЕЕ И МЕЖДИСЦИПЛИНАРНОЕ ЗНАНИЕ. 1 bbk Информатика и вычислительная техника. 09.00.00 okso Информатика. Вычислительная техника. 51 tbk Искусственный интеллект. 28.23 grnti Kramarov, Sergey Olegovich BU VO "Surgut State University" Saharova, Lyudmila Viktorovna Ростовский государственный экономический университет (РИНХ) Popov, Oleg Ruslanovich National University of Science and Technology "MISIS" Mityasova, Ol'ga Yur'evna Business IT company Development of intelligent analytical and recommendation systems of professional orientation based on psychophysical profiling and AI algorithms Monography Moscow Publishing Center RIOR 2026 200 p. This 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. Artificial intelligence, "digital twin", professional orientation, neurodynamic properties of the nervous system, psychophysical profile, labor market, Industry 4.0, human capital, labor resources, digital transformation 10.29039/02184-2 There is an electronic copy riorpub.com