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2024年第六届世界人工智能专题讨论会（WSAI 2024) 已于会议于2024年6月7-9日 在 中国广州 线上召开。
2024 the 6th World Symposium on Artificial Intelligence was held in Guangzhou, China during June 7-9, 2024.
Guangzhou, China ▏June 7-9, 2024
WSAI 2024 Proceedings in IEEE Xplore: https://ieeexplore.ieee.org/xpl/conhome/10828565/proceeding
WSAI 2024 Proceedings is indexed by Ei Compendex and Scopus.
Keynote Speakers
KWONG Tak Wu Sam, IEEE Fellow, Lingnan University Hong Kong, China
James Lin, Co-founded the High-Performance Computing Center at Shanghai Jiao Tong University, China
Chao Chen, Shenzhen Institute of Advanced Technology (SIAT), Chinese Academy of Sciences (CAS), China
Invited Speakers
Riswan Efendi, Universiti Pendidikan Sultan Idris (UPSI), Malaysia
Riktesh Srivastava, Business and Management, City University, UAE
Parallel Sessions:
Special Session 1: Applications of Artificial
Intelligence
Special Session 2: Emerging Computing,
Communications and Security in Industry
Special Session 3: Formal
Methods and Intelligent Techniques for Cybersecurity and Cyberdefense
Session Topic 1: Applications of Artificial Intelligence
Session Topic 2: Power System Modeling and High Performance Computing
Session Topic 3: AI based Algorithms and Models
Session Topic 4: Emerging Computing, Communications and Security in Industry
Congratulations to the Excellent Oral Presentation Winners
Numerical simulation for laser ultrasonic detection of surface cracks in Carbon/Glass Fiber Reinforced Polymer
Author(s): Anjun Gong, Jinlong Gong, Zhen Wang
Presenter: Anjun Gong, Qilu University of Technology (Shandong Academy of Sciences), China
Parallelization of Flow Calculations for a Passenger Airplane Benchmark Model on a Multi-GPU Server
Author(s): Liu Yang, Jian Yang
Presenter: Liu Yang, MetaX Integrated Circuits (Shanghai) Co., Ltd, China
Multi-Musical Instrument Recognition Neural Network
Author(s): Bardia Timouri, Ravdeep Aulakh, Gathrean Dela Cruz
Presenter: Bardia Timouri, Ravdeep Aulakh, Gathrean Dela Cruz, British Columbia Institue of Technology, Canada
Venn Diagram Prompting : Accelerating Comprehension with Scaffolding Effect
Author(s): Sakshi Mahendru, Tejul Pandit
Presenter: Sakshi Mahendru, Palo Alto Networks, USA, Tejul Pandit, Palo Alto Networks, USA
Research on Efficient Utilization of Network Resources and Intelligent Operation and Maintenance of Rail Transit Cloud Platform Based on SDN
Author(s): Gang Li,Ye Qiu,ChongJing Wang
Presenter: Ye Qiu, Jinan Rail Transit Group Co. LTD., Jinan, China