Computational and Deep Learning Models for Advanced Behavioral Analysis

Language: English

Published by IGI GLOBAL SCIENTIFIC PUBLISHING, 2026

9798337350622

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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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.

Seller Inventory # 9798337350622

Title
Computational and Deep Learning Models for Advanced Behavioral Analysis
Author
Josué Antonio Nescolarde Selva
Publisher
IGI GLOBAL SCIENTIFIC PUBLISHING
Publication year
2026
Condition
Neu
Binding
Buch
Language
English
ISBN 13
9798337350622
Item weight
1,235 grams
Dimensions
260x183x34 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item7 to 10 business days5 to 7 business days
First itemUS$ 45.47US$ 52.63
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