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检索条件"任意字段=IEEE Data Driven Control and Learning Systems Conference"
28692 条 记 录,以下是161-170 订阅
排序:
AKGNN: When Adaptive Graph Neural Network Meets Kolmogorov-Arnold Network for Industrial Soft Sensors
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ieee TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2025年 74卷
作者: Yang, Zeyu Mao, Longying Ye, Lingjian Ma, Yiran Song, Zhihuan Chen, Zhichao Huzhou Univ Sch Engn Zhejiang Key Lab Ind Solid Waste Thermal Hydrolysi Huzhou Key Lab Intelligent Sensing & Optimal Contr Huzhou 313000 Peoples R China Zhejiang Univ Coll Control Sci & Engn State Key Lab Ind Control Technol Hangzhou 310027 Peoples R China Guangdong Univ Petrochem Technol Guangdong Prov Key Lab Petrochem Equipment Fault D Maoming 525000 Peoples R China
data-driven soft sensors, which estimate quality variables from process variables, are very important to industrial processes. However, there remains significant room for enhancement in terms of accuracy in the deep l... 详细信息
来源: 评论
Graph Multi-Resolution Transformer for Road Traffic Anomaly Detection
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ieee ACCESS 2025年 13卷 27428-27437页
作者: Park, Donghyun Choi, Sung-Soo Lim, Donghyun Kang, Yong-Shin Adv Inst Convergence Technol Suwon 16229 South Korea
Traffic anomaly detection has become increasingly vital for ensuring the safety, efficiency, and resilience of urban transportation systems. The emergence of megacities and the integration of autonomous vehicles (AVs)... 详细信息
来源: 评论
Smart Grid Management with AI driven Analytics in Solar Energy  2
Smart Grid Management with AI Driven Analytics in Solar Ener...
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2nd International conference on Machine learning and Autonomous systems, ICMLAS 2025
作者: Timande, Devanshi Agade, Nishant Gudadhe, Amit Faculty of Engineering & Technology Department of Artificial Intelligence and Data Science Wardha India Faculty of Engineering & Technology Wardha India
This paper presents an AI-driven framework for real-time smart grid optimization tailored specifically for solar energy integration. The proposed system features a multi-layered architecture that integrates data acqui... 详细信息
来源: 评论
Managing data Heterogeneity for Ontology-driven Models: Application to Gamified E-learning Contexts  17
Managing Data Heterogeneity for Ontology-Driven Models: Appl...
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17th International conference on Computer Supported Education, CSEDU 2025
作者: Gomaa, Yara Lahoud, Christine Abel, Marie-Hélène Moussa, Sherin Laboratoire HEUDIASYC Université de Technologie de Compiègne Sorbonne Universités 57 Avenue Landshut Compiègne60200 France Université Française d’Egypte 21 Ismailia Desert Road Shorouk City Cairo11837 Egypt CIAD UR 7533 Univ. BourgogneFranche-Comté UTBM BelfortF-90010 France Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt
data heterogeneity within gamified e-learning systems exposes a challenge for ontology-driven models, specifically ontology-based recommender systems. These systems can help teachers who are unfamiliar with gamificati... 详细信息
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Research on the Application of Knowledge Graph-driven Two-Dimensional Convolutional Embedding Methods in Recommender systems  1
Research on the Application of Knowledge Graph-Driven Two-Di...
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1st International conference on Intelligent systems and Computational Networks, ICISCN 2025
作者: Dong, Peng School of Business Stevens Institute of Technology HobokenNJ United States
This article proposes a knowledge graph-driven recommendation method that integrates user preferences and contrastive learning to enhance the performance of the recommendation system. The study introduces knowledge-aw... 详细信息
来源: 评论
Deep Reinforcement learning-Based Speed Predictor for Distributionally Robust Eco-Driving
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ieee ACCESS 2025年 13卷 13904-13918页
作者: Chaudhary, Rajan Sharma, Nalin Kumar Kala, Rahul Singh, Sri Niwas ABV Indian Inst Informat Technol & Management Dept Elect & Elect Engn Gwalior 474015 India Indian Inst Technol Jammu Dept Elect Engn Jammu 180019 India ABV Indian Inst Informat Technol & Management Ctr Autonomous Syst Gwalior 474015 India
This paper proposes an eco-driving technique for an ego vehicle operating behind a non-communicating leading Heavy-Duty Vehicle (HDV), aimed at minimizing energy consumption while ensuring inter-vehicle distance. A no... 详细信息
来源: 评论
A Noise-Resilient Fault Diagnosis Method Based on Optimized Residual Networks
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ieee TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT 2025年 74卷
作者: Chen, Zhiwen Liu, Jiakun Du, Zhile Fan, Xinyu Luo, Hao Cent South Univ Sch Automat Changsha 410083 Peoples R China Harbin Inst Technol Dept Control & Simulat Ctr Harbin 150001 Peoples R China
In industrial applications, the complexity of systems and the dynamic nature of operating environments often result in raw data being heavily contaminated by noise. This presents significant challenges for traditional... 详细信息
来源: 评论
data-driven Feedforward control for Suppressing Coupled Vibrations in Positioning systems
Data-Driven Feedforward Control for Suppressing Coupled Vibr...
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2025 ieee International conference on Mechatronics, ICM 2025
作者: Teramoto, Shota Yamaguchi, Daigo Sato, Shimpei Maeda, Yoshihiro Nagoya Institute of Technology Nagoya Japan
In the fast and precise control of positioning mechanisms, coupled vibrations often arise owing to the interaction of multiple structural components within industrial machines, leading to deteriorated positioning accu... 详细信息
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Semi-Supervised Generalized Adaptive Weighted Recursive Least Squares Dictionary learning  6
Semi-Supervised Generalized Adaptive Weighted Recursive Leas...
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6th ieee International conference on Image Processing, Applications and systems, IPAS 2025
作者: Yousefi, Mohadeseh Naderahmadian, Yashar Beheshti, Soosan University of Guilan Department of Electrical and Computer Engineering Rasht Iran Toronto Metropolitan University Department of Electrical Computer and Biomedical Engineering Toronto Canada
This work presents a novel semi-supervised dictionary learning framework that updates the dictionary by online learning and is efficient in utilizing the training data. The method employs a two-stage process to train ... 详细信息
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Model-driven Bayesian Reinforcement learning for IRS-Assisted Massive MIMO-OFDM Channel Feedback, Beamforming, and IRS control
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ieee TRANSACTIONS ON WIRELESS COMMUNICATIONS 2025年 第3期24卷 2514-2529页
作者: Bi, Yuanyuan Lau, Vincent K. N. Tsang, Danny H. K. Hong Kong Univ Sci & Technol Acad Interdisciplinary Studies Hong Kong Peoples R China Hong Kong Univ Sci & Technol Dept Elect & Comp Engn Hong Kong Peoples R China Hong Kong Univ Sci & Technol Guangzhou Internet Things Thrust Guangzhou 511400 Guangdong Peoples R China
In Intelligent Reflecting Surface (IRS)-assisted massive Multiple-Input Multiple-Output (MIMO) systems, the downlink channel state information (CSI) needs to be fed back to the base station (BS) and utilized to perfor... 详细信息
来源: 评论