NCAA is an annual international neural computing conference, which showcases state-of-the-art R&D activities in neural computing systems and their industrial and engineering applications. It provides a forum for technical presentations and discussions among neural computing researchers, developers and users from academia, business and industry.
The 2021 NCAA will be held in Guangzhou, China on July 2-5, 2021. China, a country which has a long history of 5000 years, is the perfect venue for addressing contemporary neural computing issues as new AI-related technical trends have been arising out of China’s top-notch IT infrastructure and cultural dynamicity. Guangzhou, also known as Canton and formerly romanized as Kwangchow, is the capital and most populous city of the province of Guangdong in southern China. On the Pearl River about 120 km (75 mi) north-northwest of Hong Kong and 145 km (90 mi) north of Macau, Guangzhou has a history of over 2,200 years and was a major terminus of the maritime Silk Road, and continues to serve as a major port and transportation hub, as well as one of China’s three largest cities. Due to a high urban population and large volumes of port traffic, Guangzhou is a Large-Port Megacity, the largest type of port-city in the world.
This conference is mainly hosted by Nanfang College of Sun Yat-sen University and South China Normal University.
NCAA is an annual international neural computing conference, which showcases state-of-the-art R&D activities in neural computing systems and their industrial and engineering applications. It provides a forum for technical presentations and discussions among neural computing researchers, developers and users from academia, business and industry.
The 2021 NCAA will be held in Guangzhou, China on July 2-5, 2021. China, a country which has a long history of 5000 years, is the perfect venue for addressing contemporary neural computing issues as new AI-related technical trends have been arising out of China’s top-notch IT infrastructure and cultural dynamicity. Guangzhou, also known as Canton and formerly romanized as Kwangchow, is the capital and most populous city of the province of Guangdong in southern China. On the Pearl River about 120 km (75 mi) north-northwest of Hong Kong and 145 km (90 mi) north of Macau, Guangzhou has a history of over 2,200 years and was a major terminus of the maritime Silk Road, and continues to serve as a major port and transportation hub, as well as one of China’s three largest cities. Due to a high urban population and large volumes of port traffic, Guangzhou is a Large-Port Megacity, the largest type of port-city in the world.
TOPICS of interest are relevant to building practical systems are within its scope, including but not limited to:
All submitted papers will be categorized into following technical tracks:
Neural network theory, cognitive sciences, neuro-system hardware implementations, and NN-based engineering applications
Track chairs: Zenghui Wang (University of South Africa), Shi Cheng (Shaanxi Normal University), Cuili Yang (Beijing University of Technology), Jianghong Ma (City University of Hong Kong)
Machine learning, data mining, data security & privacy protection, and data-driven applications
Track chairs: Li Zhang (Soochow University), Zhao Kang (University of Electronic Science and Technology), Yimin Yang (Lakehead University), Jicong Fan (Cornell University)
Computational intelligence, nature-inspired optimizers, and their engineering applications
Track chairs: Sheng Li (University of Georgia), Yaqing Hou (Dalian University of Technology), Zhile Yang (Chinese Academy of Sciences, SIAT), Xiaozhi Gao (University of Eastern Finland)
Cloud/edge/fog computing, the Internet of Things/Vehicles (IoT/IoV), and their system optimization
Track chairs: Cheng-Kuan Lin (Fuzhou University), Kai Liu (Chongqing University), Zhiying Tu (Harbin Institute of Technology), Xiangping Zhai (Nanjing University of Aeronautics and Astronautics), Weizhi Meng (Technical University of Denmark)
Control systems, network synchronization, system integration, and industrial artificial intelligence
Track chairs: Chengqing Li (Hunan University), Qiang Jia (Jiangsu University), Yongji Wang (Huazhong University of Science and Technology), Ning Sun (Nankai University), Wenkai Hu (China University of Geosciences)
Fuzzy logic, neuro-fuzzy systems, decision making, and their applications in management sciences
Track chairs: Dongrui Wu (Huazhong University of Science and Technology), Zhaohong Deng (Jiangnan University), Liang Bai (Shanxi University), Jingjing Cao (Wuhan University of Technology), Xin Zhang (Tianjin Normal University)
Computer vision, image processing, and their industrial applications
Track chairs: Zhong Ji (Tianjin University), Bineng Zhong (Huaqiao University), Jiayi Ma (Wuhan University), Xiangyuan Lan (Hong Kong Baptist University), Mingbo Zhao (Donghua University)
Natural language processing, machine translation, knowledge graphs, and their applications
Track chairs: Lap-Kei Lee (The Open University of Hong Kong), Haitao Wang (China National Institute of Standardization), Tianyong Hao (South China Normal University), Xiaolei Lu (City University of Hong Kong)
07月02日
2021
07月05日
2021
初稿截稿日期
终稿截稿日期
初稿录用通知日期
注册截止日期
2022年07月08日 中国 济南
2022 International Conference on Neural Computing for Advanced Applications2020年07月03日 中国 Shenzhen
International Conference on Neural Computing for Advanced Applications
留言