The iCAST 2023 Organizing Committee invites proposals for Special Sessions to be held during The 12th International Conference on Awareness Science and Technology (iCAST) from 9 Nov. till 11 Nov. 2023. Accepted papers will be submitted for inclusion into the IEEE Digital Library (IEL) and Scopus Database. Please note that papers must submit via the submission system website and meet the format of iCAST2023.
Organizer is responsible for inviting at least six papers. The proposal must be submitted to the committee ( icast2023s@gmail.com ) by June 19, 2023. Once the proposal is approved, the organizer will be invited as the session chair, and he/she should take all responsibility to carry out review process. The submission procedure is the same as the regular sessions via the submission system website.
Template of Special Session Proposals for the iCAST2023.
Click here to download the MS Word Template file.| SS1: Using Deep Learning for Various Data Sources in Smart Applications |
| Organizer：Prof. Rung-Ching Chen, Prof. Shao-Kuo Tai, Prof. Jeang-Kuo Chen, Prof. Vimal Kumar |
| Institution：Chaoyang University of Technology |
| E-mail：crching@cyut.edu.tw, sgdai@cyut.edu.tw, jkchen@cyut.edu.tw, vimalkr@gm.cyut.edu.tw |
Deep Learning combines high-performance computing leading to unusual solutions for multi-model data analysis problems. Deep Learning-empowered systems can nowadays achieve performance levels in various data analysis tasks comparable to, or even exceeding, those of human beings. These advancements have the potential to open new high-impact applications in different environments. In this special issue, the authors will be through theoretical, methodological, and experiments contributions to fully exploit Deep Learning solutions in smart applications. |
| For more information... |
| SS2: Deep Learning Technology for Biomedical Signals and Images Applications |
| Organizer：Prof. Zhu, Prof. Liu, Prof. Chin, Prof. Chung |
| Institution：Aizu University, Chaoyang University of Technology, Chung Shan Medical University, National Yang Ming Chiao Tung University |
| E-mail：zhuxin@u-aizu.ac.jp, shliu@cyut.edu.tw, ernestli@csmu.edu.tw, ifchung@nycu.edu.tw |
Recent advances in health informatics, artificial intelligence, and sensing techniques have generated increasing interest from both industry and academia. Deep learning technology, which has made significant progress in various fields such as natural language recognition (e.g., ChatGTP), has further fueled this interest. As such, the session titled "Deep Learning Technology for Biomedical Signals and Images Applications" will bring together researchers and experts to present and discuss the latest developments and technical solutions related to advances in deep learning for signal and image processing of bioelectronic devices. This session will feature original, unpublished articles focusing on theoretical analysis, biomedical signal and image processing, novel system architecture construction and design, experimental studies, and wearable device development. |
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| SS3: Applications of Artificial Intelligence and Internet of Things for a Sustainable Future |
| Organizer：Prof. Cheng, Prof. Lin, Prof. Tsai, Prof. Kuo |
| Institution：Chaoyang University of Technology, Chaoyang University of Technology, National Taichung University of Science and Technology, CTBC Financial Management College |
| E-mail：yhcheng@cyut.edu.tw, cblin@cyut.edu.tw, azongtsai@nutc.edu.tw, cn.kuo@ctbc.edu.tw |
Artificial Intelligence (AI) and the Internet of Things (IoT) have brought infinite possibilities for human applications. The purpose of this special session is to explore how AI and IoT-related technologies contribute to cutting-edge innovation and interdisciplinary approaches for a more sustainable future. The special session will cover a range of innovative and intelligent applications, such as smart cities, transportation, energy efficiency, waste management, drones, self-driving cars, robots, and more. The ultimate goal is to inspire interdisciplinary collaboration, promote the development of innovative technologies, and accelerate the adoption of AI and IoT-driven solutions, leading us towards a more sustainable and resilient future. Prospective authors are invited to submit original papers to the Special Session. |
| For more information... |
| SS4: Applications of Artificial Intelligent Networks and Communication Systems (AAINCS) |
| Organizer：Prof. Huang, Prof. Wei, Prof. Liang, Prof. Li |
| Chaoyang University of Technology, Chaoyang University of Technology, Chaoyang University of Technology, University of Aizu |
| E-mail：yfahuang@cyut.edu.tw, ccwei@cyut.edu.tw, hyliang@gm.cyut.edu.tw, pengli@u-aizu.ac.jp |
This Special Session is organized for the emerging research, applications, and problems in the technology of Artificial Intelligence (AI) and Wireless Advanced communication Networking fields. The explosive data growth from wireless and advanced networks can be highly unstructured, heterogeneous, and unpredictable. AI techniques have been applied in almost every domain. Also, the emerging technologies and issues in the areas of wireless and multimedia applications and networking issues for 5G/Beyond 5G are all within the scope of this Special Session. This Special Session will focus on the prospective technologies, models, systems and applications in AI, IoTs, 5G and advanced networking areas. The aim is to collect the most recent advances in AI research for Wireless Networking fields. This session (AAINCS) will bring researchers and experts together to present and discuss the latest developments and technical solutions concerning various aspects of advances in communication technologies. |
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| SS5: Knowledge Engineering & AI Application (KEAIA) |
| Organizer：Prof. Li, Prof. Yang, Prof. Lu, Prof. Yeh |
| Chaoyang University of Technology, National Taipei University, Chaoyang University of Technology, Feng Chia University |
| E-mail：ylhli@cyut.edu.tw, cyang@uTaipei.edu.tw, tclu@cyut.edu.tw, chunhyeh@fcu.edu.tw |
This Special Session is organized for the emerging research, theories, applications, and problems in the field of knowledge engineering and Artificial Intelligence (AI). The explosive data growth from organization, commerce, and from the real world are highly unstructured, heterogeneous, and unpredictable. How to recognize and analyze these explosive information by using AI techniques and how to transform these unstructured data into knowledge need efforts from every domain. This Special Session will focus on the prospective technologies, models, systems, and applications in AI, Data Science, Generative AI, Knowledge recognition, knowledge engineering, case-based reasoning, AI-based information processing or recognition, autonomous, and data hiding. The aim is to collect the most recent advances in AI research for knowledge and for data science. This session (KEAIA) will bring researchers and experts together to present and discuss the latest developments and technical solutions concerning various aspects of advances in AI and knowledge engineering. |
| For more information... |
| SS6: Artificial Intelligent Enabled Communication Systems |
| Organizer：Prof. Sang-Woon Jeon, Prof. Won-Yong Shin, Prof. Haewoon Nam, Prof. Si-Hyeon Lee |
| Hanyang University, Yonsei University, Hanyang University, Korea Advanced Institute of Science and Technology |
| E-mail：sangwoonjeon@hanyang.ac.kr, wy.shin@yonsei.ac.kr, hnam@hanyang.ac.kr, sihyeon@kaist.ac.kr |
Recently, there has been growing interest in both academia and industry regarding the integration of artificial intelligence (AI) into current 5G networks and the future of 6G communication networks. Specifically, 6G communication systems are expected to meet diverse requirements, such as ultra-fast data, extremely low latency, and high mobility support. Therefore, the role of AI-based communication protocols is expected to become even more significant. In light of this, this Special Session aims to gather innovative research on a wide range of topics related to AI-enabled communication systems. We welcome contributions from both academia and industry, covering theoretical and system-based investigations. |
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| SS7: Advanced Machine Learning and Applications |
| Organizer：Prof. Zhao, Prof. Liu |
| The University of Aizu |
| E-mail：qf-zhao@u-aizu.ac.jp, yliu@u-aizu.ac.jp |
Machine learning is a very active sub-field of artificial intelligence concerned with the development of computational models of learning. From a computational point of view, machine learning refers to the ability of a machine to improve its performance based on previous results. From a biological point of view, machine learning is the study of how to create computers that will learn from experience and modify their activity based on that learning as opposed to traditional computers whose activity will not change unless the programmer explicitly changes it. Currently, learning systems have been becoming large, heterogeneous, uncertain, and dynamic. They also need to match some conflict requirements, such as flexibility, performance, resource usage, and reliability. In this special issue, the researchers will pay more attention to the top trends in machine learning, and discuss how to take full advantage of the benefits of machine learning trends in practical applications. |
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