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This book constitutes the thoroughly refereed proceedings of the 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2020, held in Kitakyushu, Japan, in September 2020. The 62 full papers and 17 short papers presented were carefully reviewed and selected from 119 submissions. The IEA/AIE 2020 conference will continue the tradition of emphasizing on applications of applied intelligent systems to solve real-life problems in all areas. These areas include are language processing; robotics and drones; knowledge based systems; innovative applications of intelligent systems; industrial applications; networking applications; social network analysis; financial applications and blockchain; medical and health-related applications; anomaly detection and automated diagnosis; decision-support and agent-based systems; multimedia applications; machine learning; data management and data clustering; pattern mining; system control, classification, and fault diagnosis.
This volume presents cutting-edge research in artificial intelligence, focusing on theoretical advancements and practical applications. The 33rd International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems (IEA/AIE 2020) brought together researchers to share their findings on solving real-world problems using intelligent systems. The papers cover a wide spectrum of topics, including language processing, robotics, knowledge-based systems, and innovative applications across various industries.
The collection represents the proceedings of a significant international conference, indicating a focus on current research and development within the field of applied intelligent systems. The breadth of topics covered suggests a comprehensive overview of the state-of-the-art in AI applications across diverse domains. The inclusion of papers on areas like blockchain and medical applications highlights the evolving and interdisciplinary nature of AI research. This volume likely serves as a valuable resource for academics and practitioners seeking to understand the latest trends and challenges in artificial intelligence.
Page Count:
935
Publication Date:
2020-09-04
Publisher:
Springer Nature
ISBN-10:
3030557898
ISBN-13:
9783030557898
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