ISBN: 9786208430511 - human opinion dynamics for stress detection using machine learning: analyzing psychological stress through machine learning-based human opinion modeling (10 resultados)

Condición: New.

Condición: New.

Taschenbuch. Condición: Neu. HUMAN OPINION DYNAMICS FOR STRESS DETECTION USING MACHINE LEARNING | Analyzing Psychological Stress through Machine Learning-Based Human Opinion Modeling | Anita Goyal | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2025 | LAP LAMBERT Academic Publishing | EAN 9786208430511 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condición: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 64 pp. Englisch.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This book explores the intersection of human opinion dynamics and machine learning for stress detection, presenting a comprehensive framework for understanding how computational models can effectively analyze psychological stress patterns. It delves into the intricate relationship between human emotions, behavioral responses, and machine learning techniques, offering a robust approach to mental health assessment in both clinical and non-clinical settings.The book introduces fundamental concepts of human opinion dynamics, explaining how opinions, emotions, and psychological states evolve in social and digital environments. By integrating these concepts with cutting-edge machine learning algorithms, it provides insights into how stress levels can be detected, monitored, and predicted using computational methods. Various supervised, unsupervised, and deep learning techniques are explored to highlight their potential in analyzing physiological and psychological markers of stress.…

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book explores the intersection of human opinion dynamics and machine learning for stress detection, presenting a comprehensive framework for understanding how computational models can effectively analyze psychological stress patterns. It delves into the intricate relationship between human emotions, behavioral responses, and machine learning techniques, offering a robust approach to mental health assessment in both clinical and non-clinical settings.The book introduces fundamental concepts of human opinion dynamics, explaining how opinions, emotions, and psychological states evolve in social and digital environments. By integrating these concepts with cutting-edge machine learning algorithms, it provides insights into how stress levels can be detected, monitored, and predicted using computational methods. Various supervised, unsupervised, and deep learning techniques are explored to highlight their potential in analyzing physiological and psychological markers of stress.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 64 pp. Englisch.…