ORCID Profile
0000-0002-4885-2531
Current Organisation
University of Tasmania
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Publisher: IGI Global
Date: 2018
DOI: 10.4018/978-1-5225-5643-5.CH028
Abstract: The development of Intelligent Transportation System (ITS) will transition into a next level development of variously new requirements coupled with the new generation wireless communication technology. In this paper, the process-oriented structured system analysis is extended on the existing intelligent transportation architecture to establish an intelligent transportation system based on the new generation wireless communication technology, and further in-depth analysis will be performed to discuss the required additional capabilities of network, services and application support in the view of user, function, information, connection and communication. In order to comprehensively understand the technical characteristics and development of the new generation intelligent transportation system, it lays a foundation for implementation of the new generation ITS technology.
Publisher: Elsevier BV
Date: 2019
Publisher: IGI Global
Date: 2018
Abstract: The development of Intelligent Transportation System (ITS) will transition into a next level development of variously new requirements coupled with the new generation wireless communication technology. In this paper, the process-oriented structured system analysis is extended on the existing intelligent transportation architecture to establish an intelligent transportation system based on the new generation wireless communication technology, and further in-depth analysis will be performed to discuss the required additional capabilities of network, services and application support in the view of user, function, information, connection and communication. In order to comprehensively understand the technical characteristics and development of the new generation intelligent transportation system, it lays a foundation for implementation of the new generation ITS technology.
Publisher: American Society of Civil Engineers (ASCE)
Date: 06-2021
Publisher: Springer International Publishing
Date: 2022
Publisher: IEEE
Date: 11-2009
Publisher: IEEE
Date: 11-2009
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2019
Publisher: Springer Science and Business Media LLC
Date: 10-08-2023
DOI: 10.1007/S44230-023-00038-Y
Abstract: In recent years, artificial intelligence (AI) technology has been used in most if not all domains and has greatly benefited our lives. While AI can accurately extract critical features and valuable information from large amounts of data to help people complete tasks faster, there are growing concerns about the non-transparency of AI in the decision-making process. The emergence of explainable AI (XAI) has allowed humans to better understand and control AI systems, which is motivated to provide transparent explanations for the decisions made by AI. This article aims to present a comprehensive overview of recent research on XAI approaches from three well-defined taxonomies. We offer an in-depth analysis and summary of the status and prospects of XAI applications in several key areas where reliable explanations are urgently needed to avoid mistakes in decision-making. We conclude by discussing XAI’s limitations and future research directions.
Publisher: IEEE
Date: 05-2009
Publisher: IEEE
Date: 07-2018
Publisher: Springer International Publishing
Date: 2018
Publisher: Wiley
Date: 10-01-2019
DOI: 10.1002/CAE.22087
Publisher: Springer Science and Business Media LLC
Date: 23-05-2019
DOI: 10.1007/S10916-019-1262-0
Abstract: Dialogue-based simulation is a real-world practice technique for medical and clinical education that provides students with an opportunity to train using hands-on experiences without putting actual patients being put at risk. In this paper, a 3D interactive dialogue-based training and assessment system that supports the detailed development of clinical trial competency for medical students in a distributed virtual environment was proposed. For clinical training, MCRDR-based natural language understanding to realize the semantic representation of written dialog from the most relevant inference results was applied, and on the basis of this, a convolutional neural network model was also used to make the generated inference more exact and reliable. For clinical assessment, the dialogue-driven competency method was used to encompass medical knowledge, communication skill as well as professionalism skill based on the collected dialogue information. Finally, the potential of the created system was demonstrated with several clinical cases. The preliminary results indicate that the system demonstrates the potential of providing efficient training and flexible assessment, while saving time, improving practical skills and making students more confident.
Publisher: Springer International Publishing
Date: 2019
Publisher: International Academy Publishing (IAP)
Date: 06-2012
Publisher: IEEE
Date: 06-2009
DOI: 10.1109/CINC.2009.93
Publisher: Elsevier BV
Date: 05-2021
No related grants have been discovered for Wenli Yang.