Pattern Analysis of Personality Dimensions Using Artificial Intelligence

2024-02-14 分类：Cambridge 评论(0)


Pattern Analysis of Personality Dimensions Using Artificial Intelligence
Author: Vijayalakshmi Kakulapati (Author, Editor)
Publisher finelybook 出版社:‏ Cambridge Scholars Publishing
Edition 版本:‏ 1st
Publication Date 出版日期:‏ 2024-01-01
Language 语言: English
Print Length 页数: 219 pages
ISBN-10: 1527553817
ISBN-13: 9781527553811

Book Description

This book explores real-world uses of artificial intelligence (AI) for the interpretation of behavioral patterns, and how behavior may have a significant influence on a person’s actions, choices and personality. It also discusses problems with AI, as well as its various uses, such as controlling diseases that affect millions of people. The book serves as a succinct introduction to new notions and theories that may be discovered at the nexus of AI and modern personality analysis. Subjects such as deep learning, deep neural networks, and meteorological applications are discussed, making this book perfect for artificial intelligence data scientists, business executives, academics, practitioners, instructors, and students.

About the Author

Professor Vijayalakshmi Kakulapati received a PhD in computer science and engineering, specializing in information retrieval systems, from Jawaharlal Nehru Technological University, India. She works as a professor and the Associate Dean at Sreenidhi Institute of Science and Technology’s Department of Information Technology, India, and has more than 26 years of industry and teaching experience. She is a member of various professional bodies, such as the Institute of Electrical and Electronics Engineers (IEEE), Association for Computing Machinery (ACM), Computer Science Teachers Association (CSTA), and International Association of Computer Science and Information Technology (IACSIT). She is also a life member of the Indian Society of Technical Education (LMISTE) and the Computer Society of India (LMCSI). She has 5 granted patents, 6 published patents, 8 books and over 40 book chapters to her credit. Her research interests include big data analytics, health informatics, data science, artificial intelligence, deep learning, machine learning, and the Internet of Things.

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