Generative artificial intelligence(AI),as an emerging paradigm in content generation,has demonstrated its great potentials in creating high-fidelity data including images,texts,and videos.Nowadays wireless networks an...
With the recent advancements of deep learning-based methods in image classification,the requirement of a huge amount of training data is inevitable to avoid overfitting problems.Moreover,supervised deep learning model...
supported by the Natural Science Foundation of Shanghai Municipality(21ZR1423400);the National Natural Science Funds of China(62173217);NSFC/Royal Society Cooperation and Exchange Project(62111530154,IEC\NSFC\201107).
Dear Editor,This letter concerns the development of approximately bi-similar symbolic models for a discrete-time interconnected switched system(DT-ISS).The DT-ISS under consideration is formed by connecting multiple s...
supported in part by the National Nature Science Foudation under Grant 62333023;in part by the Key Research and Development Program of Zhejiang Province under Grant 2021C03050;in part by the Scientific Research Project of Agriculture and Social Development of Hangzhou under Grant 20212013B11.
Almost all living organisms exhibit autonomic oscillatory activities,which are primarily generated by the rhythmic activities of their neural systems.Several nonlinear oscillator models have been proposed to elucidate...
Project supported by the National Natural Science Foundation of China(Grant No.72361031);the Gansu Province University Youth Doctoral Support Project(Grant No.2023QB-049)。
In recent years, the traffic congestion problem has become more and more serious, and the research on traffic system control has become a new hot spot. Studying the bifurcation characteristics of traffic flow systems ...
The Science and Technology Research and Development Program Project of China Railway Group Ltd provided funding for this study(Project Nos.2020-Special-02 and 2021Special-08)。
Accurate forecasting of traffic flow provides a powerful traffic decision-making basis for an intelligent transportation system. However, the traffic data's complexity and fluctuation, as well as the noise produced du...
Supported by the Major Consulting and Research Project of the Chinese Academy of Engineering(2020-CQ-ZD-1);the National Natural Science Foundation of China(72101235);Zhejiang Soft Science Research Program(2023C35012)。
Image semantic segmentation is an essential technique for studying human behavior through image data.This paper proposes an image semantic segmentation method for human behavior research.Firstly,an end-to-end convolut...
Generative artificial intelligence(AI),as an emerging paradigm in content generation,has demonstrated its great potentials in creating high-fidelity data including images,texts,and videos.Nowadays wireless networks an...
The expression of quantitative traits of a line of a crop depends on its genetics,the environment where it is sown and the interaction between the genetic information and the environment known as GxE.Thus to maximize ...
supported in part by the Key Research Project of North Minzu University under Grant 2021JCYJ09;in part by the French Ministry of Higher Education and Research,in part by the National Center for Scientific Research(CNRS);in part by the ANR CoCoVeIA project(ANR-19-CE22-0009);in part by the ANR HM-Science project(ANR-21-CE48-0021);in part by the Hauts-de-France Region under the project RITMEA CPER 2021-2027;in part by the National Natural Science Foundation of China under Grant 62163002;in part by the Natural Science Foundation of Ningxia Hui Autonomous Region under Grant 2021AAC05011;in part by the Advanced Intelligent Perception and Control Technology Innovative Team of Ningxia.
The detection and mitigation of cyber-attacks in connected vehicle systems(CVSs)are critical for ensuring the security of intelligent connected vehicles.This paper presents a solution to estimate sensor and actuator c...