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作品数:779被引量:921H指数:13
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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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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 
Modeling, control study, and power management strategy of a hybrid grid-connected AC/DC microgrid with high integration of renewable energies and green hydrogen sources
《Clean Energy》2024年第6期296-324,共29页Ouassima El Qouarti Tamou Nasser Ahmed Essadki Imad Aboudrar Mohamed Nadour 
This first quarter of the 21st century is increasingly marked by population growth,digital and industrial developments,a growing need for electricity supply,and climate change.All these,to name just a few,have made th...
关键词:Grid connected hybrid microgrid wind tur-bine based DFIG green hydrogen system control power management strategy renewable energy 
Modeling the clustering strength of connected autonomous vehicles and its impact on mixed traffic capacity
《Communications in Transportation Research》2024年第1期438-450,共13页Peilin Zhao Yiik Diew Wong Feng Zhu 
In a mixed traffic environment consisting of connected autonomous vehicles(CAVs)and human-driven vehicles(HVs),platooning intensity serves as a critical metric,quantifying the strength of CAV clustering,with inherent ...
关键词:AUTOCORRELATION Platooning intensity Connected autonomous vehicles(CAVs) CLUSTERING 
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 
Vehicle Head and Tail Recognition Algorithm for Lightweight DCDSNet
《Computers, Materials & Continua》2024年第9期4451-4473,共23页Chao Wang Kaijie Zhang Xiaoyong Yu Dejun Li Wei Xie Xinqiao Wang 
supported by the open project of National Local Joint Engineering Research Center for Agro-Ecological Big Data Analysis and Application Technology,“Adaptive Agricultural Machinery Motion Detection and Recognition in Natural Scenes”,AE202210;By the school-level key discipline of Suzhou University in China with No.2019xjzdxk1;2022 Anhui Province College Research Program Project of the Suzhou Vocational College of Civil Aviation,No.2022AH053155.
In the model of the vehicle recognition algorithm implemented by the convolutional neural network,the model needs to compute and store a lot of parameters.Too many parameters occupy a lot of computational resources ma...
关键词:VGGNet vehicle head and tail recognition densely connected depthwise separable convolutional 
Call for Papers Special Issue on Security and Safety in Intelligent Connected Vehicle
《Security and Safety》2024年第3期88-88,共1页
Background The intelligent connected vehicle realizes the deep coupling between the traditional closed automobile world and the internet space.The information of the vehicle,road,person,sky and cloud is connected to t...
关键词:INTERNET CONNECTED bringing 
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 
IoT Data and Device Interoperability with TIPPSS for Connected Vehicles
《China Standardization》2024年第4期59-59,共1页
With the integration of sophisticated technologies and increased data connectivity,the value of a car is no longer confined to just transportation-it is also a hub of personal and operational data.This change naturall...
关键词:IOT OPERATIONAL VALUE 
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 
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