computational deep learning models (11 risultati)

Paperback. Condizione: New.

Paperback. Condizione: New.

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

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

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

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

Hardcover. Condizione: new. Hardcover. The use of cutting-edge artificial intelligence (AI) techniques to understand, predict, and interpret complex human behaviors is essential in deep learning models. By leveraging deep learning architectures and computational modeling, researchers and practitioners can uncover patterns in diverse datasets from consumer behavior to cognitive and emotional responses. These intelligent systems enable more accurate behavioral insights, supporting applications in psychology, healthcare, marketing, security, and human-computer interaction. Through the fusion of computational power and behavioral science, they are revolutionizing the way we analyze and respond to human behavior in an increasingly data-driven world. Computational and Deep Learning Models for Advanced Behavioral Analysis explores the integration of computing models and deep learning techniques in the analysis of behavioral data. It highlights recent advances in interpretable AI, reinforcement learning, sequential modeling, and simulation techniques tailored for behavioral contexts. Covering topics such as deep learning models, behavioral analysis, and computational intelligence, this book is an excellent resource for researchers, practitioners, and graduate students. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: new. Hardcover. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condizione: Neu. Computational and Deep Learning Models for Advanced Behavioral Analysis | Ali Turab (u. a.) | Taschenbuch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337350639 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Hardcover. Condizione: new. Hardcover. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The use of cutting-edge artificial intelligence (AI) techniques to understand, predict, and interpret complex human behaviors is essential in deep learning models. By leveraging deep learning architectures and computational modeling, researchers and practitioners can uncover patterns in diverse datasets from consumer behavior to cognitive and emotional responses. These intelligent systems enable more accurate behavioral insights, supporting applications in psychology, healthcare, marketing, security, and human-computer interaction. Through the fusion of computational power and behavioral science, they are revolutionizing the way we analyze and respond to human behavior in an increasingly data-driven world. Computational and Deep Learning Models for Advanced Behavioral Analysis explores the integration of computing models and deep learning techniques in the analysis of behavioral data. It highlights recent advances in interpretable AI, reinforcement learning, sequential modeling, and simulation techniques tailored for behavioral contexts. Covering topics such as deep learning models, behavioral analysis, and computational intelligence, this book is an excellent resource for researchers, practitioners, and graduate students.