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作品数:779被引量:921H指数:13
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相关领域:理学更多>>
相关作者:杨波邢璐王炜李烨王昊更多>>
相关机构:北京航天发射技术研究所上海交通大学中国科学院数学与系统科学研究院上海师范大学更多>>
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相关基金:国家自然科学基金国家重点基础研究发展计划中国博士后科学基金北京市自然科学基金更多>>
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Call for Papers--Feature Topic Vol. 22, No. 3, 2025 Special Issue of China Communications: Convergence of 6G empowered Edge Intelligence and Generative AI: Theories, Algorithms, and Applications
《China Communications》2025年第1期F0003-F0003,共1页
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...
关键词:COMMUNICATIONS CONNECTED networks 
Impact of Autotuned Fully Connected Layers on Performance of Self-supervised Models for Image Classification
《Machine Intelligence Research》2024年第6期1201-1213,共13页Jaydeep Kishore Snehasis Mukherjee 
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...
关键词:Neural architecture search AUTOTUNING self-supervised learning hyperparameter optimization tree-structured parzen estimator(TPE) 
Approximately Bi-Similar Symbolic Model for Discretetime Interconnected Switched System
《IEEE/CAA Journal of Automatica Sinica》2024年第10期2185-2187,共3页Yang Song Yongzhuang Liu Wanqing Zhao 
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...
关键词:APPROXIMATE SYMBOLIC CONNECTED 
Application Analysis of Multiple Neurons Connected with Fast Inhibitory Synapses
《Journal of Bionic Engineering》2024年第4期1905-1918,共14页Wen Duan Weihai Chen Jianhua Wang Zhongcai Pei Jingmeng Liu Jianer Chen 
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...
关键词:OSCILLATOR Phase trajectory Synaptic threshold SYNCHRONIZATION Motion generation 
Bifurcation analysis and control study of improved full-speed differential model in connected vehicle environment
《Chinese Physics B》2024年第7期245-266,共22页艾文欢 雷正清 李丹洋 方栋梁 刘大为 
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 ...
关键词:bifurcation analysis vehicle queuing bifurcation control Hopf bifurcation 
WT-FCTGN:A wavelet-enhanced fully connected time-gated neural network for complex noisy traffic flow modeling
《Chinese Physics B》2024年第7期652-664,共13页廖志芳 孙轲 刘文龙 余志武 刘承光 宋禹成 
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...
关键词:traffic flow modeling time-series wavelet reconstruction 
Image Semantic Segmentation Approach for Studying Human Behavior on Image Data被引量:1
《Wuhan University Journal of Natural Sciences》2024年第2期145-153,共9页ZHENG Zhan CHEN Da HUANG Yanrong 
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...
关键词:human behavior research image semantic segmentation hop-connected full convolution network conditional random field network deep learning 
Call for Papers——Feature Topic Vol.22,No.3,2025 Special Issue of China Communications:Convergence of 6G empowered Edge Intelligence and Generative AI:Theories,Algorithms,and Applications
《China Communications》2024年第1期F0003-F0003,共1页
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...
关键词:CONNECTED CONVERGENCE networks 
GxENet: Novel fully connected neural network based approaches to incorporate GxE for predicting wheat yield
《Artificial Intelligence in Agriculture》2023年第2期60-76,共17页Sheikh Jubair Olivier Tremblay-Savard Mike Domaratzki 
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 ...
关键词:Genomic prediction Multi-environment trial Deep learning GxE Enviromics 
Fuzzy Unknown Input Observer for Estimating Sensor and Actuator Cyber‑Attacks in Intelligent Connected Vehicles
《Automotive Innovation》2023年第2期164-175,共12页Juntao Pan Anh‑Tu Nguyen Sujun Wang Huifan Deng Hui Zhang 
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...
关键词:Connected vehicle systems Cyber-attacks Unknown input observers Vehicle dynamics estimation Takagi-Sugeno fuzzy models 
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