Hybrid Intelligent Systems: 21st International Conference on Hybrid Intelligent Systems (HIS 2021), December 14-16, 2021

This book highlights recent research on hybrid intelligent systems and their practical applications, including contributions from the 20th International Conference on Hybrid Intelligent Systems (HIS 2021) and the 17th International Conference on Information Assurance and Security. It offers a valuable reference guide for researchers, students, and practitioners in computer science and engineering.

Format: Paperback / softback
Length: 669 pages
Publication date: 04 March 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book delves into the latest advancements in hybrid intelligent systems and their diverse practical applications. It presents a selection of 45 outstanding papers chosen from the 20th International Conference on Hybrid Intelligent Systems (HIS 2021), held in a virtual format from December 14 to 16, 2021. In addition, the book includes 16 insightful papers from the 17th International Conference on Information Assurance and Security, which took place online during the same period. Recognized as a premier conference in the realm of artificial intelligence and machine learning applications, HIS-IAS 2021 brought together renowned researchers, engineers, and practitioners from around the world who specialize in intelligent systems, network security, and their practical implementations in various industries. With contributions from authors hailing from over 20 countries, this book serves as an invaluable resource for all scholars, students, and professionals engaged in the fields of computer science and engineering.

The book's chapters are organized into five sections, covering different aspects of hybrid intelligent systems and their applications. The first section explores theoretical foundations and models of hybrid intelligent systems, providing a solid theoretical basis for the subsequent chapters. The second section focuses on intelligent systems for decision-making and optimization, highlighting their role in solving complex problems and making informed decisions. The third section explores hybrid intelligent systems in healthcare and medicine, emphasizing their applications in disease diagnosis, treatment planning, and patient monitoring. The fourth section explores hybrid intelligent systems in transportation and logistics, highlighting their role in improving transportation efficiency, reducing traffic congestion, and enhancing safety. The fifth section explores hybrid intelligent systems in education and learning, emphasizing their applications in personalized learning, intelligent tutoring systems, and educational assessment.

Each chapter in the book is authored by experts in the respective field, ensuring a high level of expertise and quality. The papers presented in the book cover a wide range of topics, including but not limited to artificial intelligence, machine learning, big data analytics, cloud computing, network security, and their applications in various industries. The book provides a comprehensive overview of the current state-of-the-art in hybrid intelligent systems and their potential for future growth and development.

In conclusion, this book is a valuable resource for researchers, students, and practitioners in the fields of computer science and engineering. It offers a comprehensive examination of the latest research on hybrid intelligent systems and their practical applications, providing a deep understanding of the underlying principles, methodologies, and technologies. The book's diverse range of topics and expert contributions make it an essential reference for anyone seeking to advance their knowledge and expertise in this rapidly evolving field.

Weight: 1038g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030963040
Edition number: 1st ed. 2022