IF 8.3 2区计算机科学

IEEE Transactions on Communications Pub Date : 2024-12-24 DOI: 10.1109/tcomm.2024.3522052

Xiaoqing Tang, Xin Liu, Guihui Xie, Yongqiang Cui, Dong Li

引用次数: 0

Direct Modulation of Matrix Converter With Optimized Switch Transitions

IF 7.7 1区工程技术

IEEE Transactions on Industrial Electronics Pub Date : 2024-12-24 DOI: 10.1109/tie.2024.3515262

Siddharth Raju, Maxim Erickson, Ned Mohan

引用次数: 0

An Adaptive Proportionate Robust Diffusion Recursive Least Exponential Hyperbolic Cosine Based Control for Solar Photovoltaic–Wind Driven Doubly-Fed Induction Generator Based Microgrid

IF 12.3 1区计算机科学

IEEE Transactions on Industrial Informatics Pub Date : 2024-12-24 DOI: 10.1109/tii.2024.3505427

Suvom Roy, Souvik Das, Bhim Singh, Bijaya Ketan Panigrahi

引用次数: 0

Agent-driven Generative Semantic Communication with Cross-Modality and Prediction

IF 10.4 1区计算机科学

IEEE Transactions on Wireless Communications Pub Date : 2024-12-24 DOI: 10.1109/twc.2024.3519325

Wanting Yang, Zehui Xiong, Yanli Yuan, Wenchao Jiang, Tony Q.S. Quek, Merouane Debbah

引用次数: 0

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems publication information

IF 2.7 3区计算机科学

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems Pub Date : 2024-12-24 DOI: 10.1109/TCAD.2024.3513476

引用次数: 0

Short-term traffic flow prediction based on spatial–temporal attention time gated convolutional network with particle swarm optimization

IF 3.4 2区计算机科学

Applied Intelligence Pub Date : 2024-12-24 DOI: 10.1007/s10489-024-06117-2

Zhongxing Li, Zenan Li, Chaofeng Pan, Jian Wang

{"title":"Short-term traffic flow prediction based on spatial–temporal attention time gated convolutional network with particle swarm optimization","authors":"Zhongxing Li, Zenan Li, Chaofeng Pan, Jian Wang","doi":"10.1007/s10489-024-06117-2","DOIUrl":"10.1007/s10489-024-06117-2","url":null,"abstract":"<div><p>Recently, the surge in vehicle ownership has led to a corresponding increase in the complexity of traffic data. Consequently, accurate traffic flow prediction has become crucial for effective traffic management. While the advancements in intelligent transportation system (ITS) and internet of things (IoT) technology have facilitated traffic flow prediction, many existing methods overlook the influence of the training process on model accuracy. Traditional approaches often fail to account for this critical aspect. Hence, a new approach to traffic flow prediction is introduced in this paper: a spatial–temporal attention time-gated convolutional network based on particle swarm optimization (PSO-STATG). This method uses the particle swarm algorithm to dynamically optimize the learning rate and epoch parameters throughout the training process. Firstly, spatial–temporal correlations are extracted through spatial map convolution and time-gated convolution, facilitated by an attention mechanism. Subsequently, the learning rate and epoch parameters are dynamically adjusted during the training phase via the particle swarm optimization algorithm. Finally, experiments are conducted with real-world datasets, and the results are compared with those from several existing methods. The experimental results indicate that the accuracy and stability of our proposed model in predicting traffic flow are superior.</p></div>","PeriodicalId":8041,"journal":{"name":"Applied Intelligence","volume":"55 2","pages":""},"PeriodicalIF":3.4,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142875291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimal Resource Allocation for UAV-Relay-Assisted Mobile Crowdsensing

IF 8.3 2区计算机科学

IEEE Transactions on Communications Pub Date : 2024-12-24 DOI: 10.1109/tcomm.2024.3522037

Xiaolong Yang, Yaru Fu, Jianchao Zheng, Zhan Xu, Ruihao Shao, Yuan Wu

引用次数: 0

On Lie group IMU and linear velocity preintegration for autonomous navigation considering the Earth rotation compensation

IF 7.8 1区计算机科学

IEEE Transactions on Robotics Pub Date : 2024-12-24 DOI: 10.1109/tro.2024.3521865

Pau Vial, Joan Solà, Narcís Palomeras, Marc Carreras

引用次数: 0

Multi-criteria group decision-making with extended ELECTRE III method and regret theory based on probabilistic interval-valued intuitionistic hesitant fuzzy information

IF 5.8 2区计算机科学

Complex & Intelligent Systems Pub Date : 2024-12-24 DOI: 10.1007/s40747-024-01645-3

Chuanyang Ruan, Shicheng Gong, Xiangjing Chen

{"title":"Multi-criteria group decision-making with extended ELECTRE III method and regret theory based on probabilistic interval-valued intuitionistic hesitant fuzzy information","authors":"Chuanyang Ruan, Shicheng Gong, Xiangjing Chen","doi":"10.1007/s40747-024-01645-3","DOIUrl":"https://doi.org/10.1007/s40747-024-01645-3","url":null,"abstract":"<p>The modern decision-making environment is complex and dynamic. Global supply chain networks are increasingly exposed to unsystematic risks. Therefore, decision-makers need greater flexibility and precision to better manage uncertain market changes and complex international environments. To construct an accurate multi-criteria group decision-making (MCGDM) model, it is necessary to select appropriate evaluation criteria and identify alternative ranking methods based on specific decision problems. To develop a suitable MCGDM model for dynamic environments, this paper develops a new MCGDM model based on probabilistic interval-valued intuitionistic hesitant fuzzy sets (PIVIHFSs), regret theory, and the extended ELimination Et Choice Translating Reality (ELECTRE) III method. Firstly, this paper proposes two new aggregation operators, including the generalized probabilistic interval-valued intuitionistic hesitant fuzzy weighted averaging (GPIVIHFWA) operator and the generalized probabilistic interval-valued intuitionistic hesitant fuzzy weighted geometric (GPIVIHFWG) operator. To incorporate the decision-maker (DM)'s regret aversion, a bidirectional projection measure is proposed to calculate the advantages and disadvantages between two probabilistic interval-valued intuitionistic hesitant fuzzy elements (PIVIHFEs). The regret values of PIVIHFEs are determined using the bidirectional projection measure instead of utility values in the regret-rejoice function. Then, this paper constructs an extended ELECTRE III method and establishes a decision-making model based on the Borda rule for ranking and selecting the best alternatives. Finally, the effectiveness and robustness of the proposed model are verified through a numerical example, and the results are discussed through sensitivity analysis and comparative analysis.</p>","PeriodicalId":10524,"journal":{"name":"Complex & Intelligent Systems","volume":"1 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2024-12-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142884289","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust Output Regulation of Uncertain Singular Linear Systems Subject to Input Saturation and DoS Attacks

IF 11.8 1区计算机科学

IEEE Transactions on Cybernetics Pub Date : 2024-12-24 DOI: 10.1109/tcyb.2024.3515276

Yan Lei, Yan-Wu Wang, Ju H. Park

引用次数: 0

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