1. Nature-Inspired Intelligent Computing, Optimization and Applications

Organizer:
Qiuzhen Lin
Shenzhen University
Email:qiuzhlin@szu.edu.cn
Lingjie Li
Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)
Email:lilingjie@gml.ac.cn
Lijia Ma
Shenzhen University
Email:ljma1990@szu.edu.cn
Zhong Ming
Shenzhen University
Email:mingz@szu.edu.cn

Scope and Topics:
We invite the submission of high-quality, original, and unpublished papers in this area. Topics for this session include, but are not limited to: Type of Methods: Evolutionary algorithm Particle swarm optimization Artificial immune system Differential evolution Grey wolf optimizer Artificial bee colony algorithm Reinforcement/Machine/Transfer learning assisted evolutionary paradigm Type of Problems: Single/Multi-objective optimization Constraint optimization Dynamic optimization Large-scale optimization Bi-level optimization Multimodal optimization Expensive optimization Type of Applications: Robotics and autonomous systems Cloud computing Healthcare and medicine Smart cities and urban planning Computational Biology and Bioinformatics Cybersecurity and Network Defense Recommendation systems UGV/UAV Cooperation Systems Analyses of Complex Networks Privacy Computation Discrete optimization in real-world applications

2. The 2nd Special Session on Visual Recognition, Processing and Automation (ViRPA)

Organizers:
Dakshina Ranjan Kisku
National Institute of Technology Durgapur
Email:drkisku.cse@nitdgp.ac.in

Scope and Topics:
Humans are most intelligent species who make thousands of decisions in every single day. However, making decision needs efficient cognitive actions that create a functional mapping to the target object or thing. Generating an appropriate functional mapping with distinctive information is a difficult task on machines. To empower the machines to perform human like decisions in order to classify objects or understanding a particular scene in complex environments need proper analysis and utilization of subjective matter very well including performing specific tasks of image processing, and applicability of machine vision and pattern recognition techniques. These paradigms would help the systems to learn about the diverse environment with lots of entities in bit more typical way even with incomplete information. Therefore, to use the correct image processing and vision approaches might transform ill-treated and distorted patterns to a distinctive and unique features groups which further make the learning algorithm suitable for taking decision in real world scenario. Image processing, pattern recognition and computer vision are interlinked topics which initiated the industrial revolution in the areas of automated intelligent systems and machine perception. They solved many practical cognitive and machine vision problems with paramount competency and shaped up the digital world with illustrious examples. They have made significant contributions in the areas of image analysis, feature extraction, object recognition, image segmentation, image enhancement, biometrics, motion analysis, depth estimation, machine and deep learning, medical imaging, object detection, video processing, industrial automation, affective computing, etc. The objective of this special session is to provide a vibrant forum for students, researchers and technologists to present and share novel ideas and works in relevant areas. Contributions welcome on the topics of interest include but are not limited to - Scene understanding - Image and scene reconstruction - Object recognition and classification - Action recognition - Biometrics - Gesture recognition - Medical, biological and microscopy imaging - Image segmentation - Deep learning for computer vision - Object recognition - Autonomous vehicles - Robot vision - Visual processing - Big data in visual processing - Video analysis, understanding and processing - Semantic analysis - Image compression - Cognitive processing - Visual healthcare systems - Motion and tracking - Visual reasoning - Assistive systems for visually challenge individuals - Text and document understanding - Image and video retrieval - Image and video synthesis - Photograph and video editing and manipulation - Natural language processing - Music analysis and processing - Optical character recognition.

3. The 5th International Session on Theoretical Computational Intelligence and Applications in 2024

Organizers:
Wenzheng Bao
Xuzhou University of Technology
Email: baowz55555@126.com

Scope and Topics:
Since the birth of artificial intelligence, the theory and technology are increasingly mature. The application field is also expanding. According to some laws and mechanisms in the process of natural evolution, and researchers deal with problems though imitation. That is where theoretical computational intelligence comes in. Theoretical computational intelligence is the successor of artificial intelligence. In addition, it turns into one of the most active researches in the field of intelligent information science. Theoretical computational intelligence has been successfully used to solve the critical problems in pattern recognition, data mining, image processing and so on. Nowadays, there is some representative algorithms in the field such as fuzzy systems, neural networks, evolutionary computation, group intelligence and immune system, etc. Recently, theoretical computational intelligence is at rapid development, in the case of both methodological development and practical applications. Computational intelligence plays pivotal roles in finding the stable convergence of the optimal solution or approximate optimal solution through multiple iterative calculation. Especially in practical applications, it has been widely implemented by researchers. Computational intelligence is an essential combination of learning, adaptation and evolution used to intelligent and innovative applications. Similar to other scientific domains, there is no doubt that computational intelligence has a great research space both in theory and in applications. This workshop consists of invited talks and contributed talks, and welcomes submission of both papers and short abstracts, where all submissions will be subject to peer review. The topics of interest include but are not limited to the following: Applications of theoretical Computational Intelligence in bioinformatics Applications of theoretical Computational Intelligence in traffics Applications of theoretical Computational Intelligence in pharmaceutics Applications of theoretical Computational Intelligence in pharmacology Applications of theoretical Computational Intelligence in Computational chemistry Applications of theoretical Computational Intelligence in Microbiomics Applications of theoretical Computational Intelligence in image processing Applications of theoretical Computational Intelligence in natural language processing Applications of theoretical Computational Intelligence in financial Other related topics.

4. Medical image Intelligent Diagnosis and Precision Analysis for Human Health

Organizers:
Pengjiang Qian
Jiangnan University
Email: qianpjiang@jiangnan.edu.cn
Wenbing Zhao
Cleveland State University
Email: w.zhao1@csuohio.edu
Khin-Wee Lai
University of Malaya
Email: lai.khinwee@um.edu.my
Yuanpeng Zhang
Nantong University
Email: maxbirdzhang@ntu.edu.cn

Scope and Topics:
Disease diagnosis is a complex evidence-based process that requires various data to complement each other. As the most intuitive way of displaying symptoms, medical imaging plays an important role in intelligent diagnosis and precision analysis. Especially in recent years, the advancement of artificial intelligence technology has promoted breakthroughs in various fields of precision medicine. However, it is still difficult to analyze medical imaging data with high efficiency, high accuracy, and high consistency, due to four limitations: symptom complexity, data variation, algorithm efficiency, and the subjective differences between different clinicians. Hence, intelligence analysis technology still has great potential to simplify the diagnostic process, improve the analysis accuracy and efficiency, and better assist clinicians in the diagnosis of lesions. For this Research Topic, we would like to bring together the latest progress of medical intelligent analysis technologies, such as medical intelligent diagnosis and prognosis analysis, complex fusion processing of multi- modality medical data, medical image classification, segmentation, detection, registration, reconstruction, intelligent analysis and so on. These key biomedicine intelligent analysis technologies are the basis of precision medicine as well as the hot research areas. We believe that these critical medical intelligent analysis technologies will significantly improve the abilities to achieve intelligent diagnosis and precision medicine. We welcome submissions of Original Research and Review articles focusing on the intelligent analysis of medical imaging data for precision medicine. Topics of interest include but are not limited to any of the sub-topics listed below: Multi-modality fusion for diagnosis, image analysis, and image-guided interventions Medical image classification Medical image biomarkers Medical image reconstruction Medical image registration Medical image segmentation Medical image retrieval Medical image data mining Computer-aided detection/diagnosis Outcome/disease prediction/survival prediction Quantification based on intelligent analysis of medical imaging data Interpretability and Complexity Analysis of Machine Learning.

5. Machine Learning and Swarm Intelligence in Optimization and Industrial Applications

Organizers:
Ben Niu
Shenzhen University
Email: drniuben@gmail.com
Tianwei Zhou
Shenzhen University
Email: tianwei@szu.edu.cn
Guanghui Yue
Shenzhen University
Email: yueguanghui@szu.edu.cn
Scope and Topics:
With the rapid development of computation and artificial intelligence, swarm intelligence and machine learning have attracted attentions from both scholars and engineers in the field of optimization algorithm design and industrial applications, such as scheduling, computer engineering, cyber-physical systems, etc. Swarm intelligence algorithms, inspired by the behavior in self-organized groups, such as birds, ants, bacteria, etc., hold the superiority in complex optimization problems. Machine learning algorithms, such as the reinforcement learning and federated machine learning, have shown strong ability in interactive learning environment. How to utilize swarm intelligence algorithms and machine learning algorithms to deal with problems in optimization algorithm design and industrial applications remains to be an interesting topic. The objective of this special session is to gather recent theoretical contributions in swarm intelligence and machine learning fields. And it also collects unpublished methods for practical problems in industrial applications. Research areas include, but are not limited to, the following topics: Theoretical contributions in swarm intelligence algorithms; Unpublished ideas in machine learning algorithms; Original work towards multi-objective problems, multi-task problems and constrained problems; Efficient methods for practical problems in optimization algorithm design and industrial applications; Other Intelligent Computing and Swarm Intelligence Related Algorithms and Applications.

6. Information Security

Organizers:
Yunxia Liu
Zhengzhou Normal University
Email: liuyunxia0110@zznu.edu.cn
Scope and Topics:
Information security has become a crucial need for almost all information transaction applications due to the large diversity of the hackers and attacks, Traditional techniques such as cryptography, watermarking, and data hiding are basic notions and play an important role in developing information security algorithms and solutions. In spite of the large development in the information security techniques, there are still several challenges that need to be addressed in terms of time, accuracy and reliability. The special session targets the information security research area with respect to trends, advanced techniques and applications, which attracts researchers and practitioners from academia and industry, and provides a discussion environment in order to share their experiences in information security. Authors are encouraged to submit both theoretical and applied papers on their research in information security. Topics of interest include, but are not limited to: Blockchain security; Applied cryptography; Data protection; Formal methods in security; Information dissemination control; Information hiding and watermarking; Network security; Privacy; Secure group communications; Security in social networks; Embedded security.