Proceedings of the 2nd International Conference on Cognitive Based Information Processing and Applications (CIPA 2022): Volume 1

This book summarizes the papers presented at the 2nd International Conference on Cognitive based Information Processing and Applications (CIPA) in Changzhou, China, covering various technological advancements in network information processing, graphics and image processing, medical care, machine learning, and smart cities. It is a valuable resource for postgraduate students, researchers, and practitioners in the field of cognitive-inspired computing and information processing.

Format: Paperback / softback
Length: 784 pages
Publication date: 11 April 2023
Publisher: Springer Verlag, Singapore

This comprehensive book presents a collection of papers presented at the 2nd International Conference on Cognitive-based Information Processing and Applications (CIPA), held in Changzhou, China, from September 22 to 23, 2022. Spanning two volumes, the papers showcased a diverse range of technological advancements across various fields, including network information processing, graphics and image processing, medical care, machine learning, and smart cities. With a focus on cognitive-inspired computing and information processing, this publication caters to postgraduate students, researchers, and practitioners who are actively engaged in this interdisciplinary domain.

The book's first volume explores innovative approaches in network information processing, covering topics such as network security, network optimization, and network intelligence. The authors present cutting-edge techniques and algorithms that aim to improve the efficiency, reliability, and scalability of communication networks. They discuss the latest developments in network virtualization, network slicing, and network function virtualization, as well as their applications in cloud computing, 5G networks, and Internet of Things (IoT) ecosystems.

The second volume delves into the realm of graphics and image processing, presenting state-of-the-art techniques for image enhancement, restoration, and analysis. The authors discuss advanced methods for face recognition, object detection, and scene understanding, leveraging deep learning and machine learning algorithms. They explore the use of convolutional neural networks, generative adversarial networks, and other deep learning architectures to achieve high accuracy and efficiency in image processing tasks.

In the medical care domain, the book showcases advancements in healthcare technology, including medical imaging, diagnosis, and treatment. The authors present novel methods for medical image segmentation, tumor detection, and disease classification, leveraging deep learning and machine learning algorithms. They discuss the use of medical image analysis for early diagnosis, personalized medicine, and drug discovery.

Machine learning and smart cities are two other key areas covered in the book. The authors present innovative applications of machine learning in various domains, such as natural language processing, speech recognition, and recommendation systems. They discuss the use of deep learning algorithms for autonomous driving, smart traffic management, and energy optimization in smart cities.

Overall, this book serves as a valuable resource for postgraduate students, researchers, and practitioners seeking to stay updated with the latest advancements in cognitive-inspired computing and information processing. It provides a comprehensive overview of the state-of-the-art technologies and applications across diverse fields, fostering interdisciplinary collaboration and promoting the development of cognitive-inspired solutions for real-world problems.

Weight: 1211g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811993725
Edition number: 1st ed. 2023