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检索条件"任意字段=IEEE Symposium on Computational Intelligence in Control and Automation"
6412 条 记 录,以下是181-190 订阅
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Research on Output Characteristics of Switched Reluctance Generator Based on Finite Element Model  8
Research on Output Characteristics of Switched Reluctance Ge...
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8th International symposium on Computer Science and Intelligent control, ISCSIC 2024
作者: Li, Hao Wang, Honghua HoHai University School of Electrical and Power Engineering Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology Nanjing Changzhou China HoHai University College of Artificial Intelligence and Automation Jiangsu Key Laboratory of Power Transmission and Distribution Equipment Technology Changzhou China
A finite element model of a switched reluctance generator is established in ANSYS software. The transient characteristics of the switched reluctance generator are simulated, and the influence of structural parameters ... 详细信息
来源: 评论
Exploring the Integration of Differential Equations in Neural Networks: Theoretical Foundations, Applications, and Future Directions  24
Exploring the Integration of Differential Equations in Neura...
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24th ieee International symposium on computational intelligence and Informatics, CINTI 2024
作者: Dénes-Fazakas, Lehel Sándor-Rokaly, Kata Szász, Laszló Csuzi, Henrik Kovács, Levente Szilágyi, László Eigner, György University Research and Innovation Center Physiological Controls Research Center Óbuda University Budapest Hungary John von Neumann Faculty of Informatics Biomatics and Applied Artificial Intelligence Institute Óbuda University Budapest Hungary Applied Informatics and Applied Mathematics Doctoral School Óbuda University Bécsi street 96/B BudapestH-1034 Hungary Keleti Károly Faculty of Business and Management Obuda University Budapest Hungary
Differential equations have become increasingly integral to the development of neural network architectures, providing a continuous-time framework that enhances both the theoretical understanding and practical applica... 详细信息
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Learning-Based Hierarchical Adaptive Congestion control with Low Training Overhead  22
Learning-Based Hierarchical Adaptive Congestion Control with...
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22nd ieee International symposium on Parallel and Distributed Processing with Applications, ISPA 2024
作者: Hu, Jinbin Zhou, Zikai Rao, Shuying Peng, Yujie Bao, Bowen Ruan, Chang Changsha University of Science and Technology ChangSha China
Most congestion control mechanisms perform well in specific network environments, but none can consistently deliver good performance across all scenarios. Recently proposed frameworks based on reinforcement learning c... 详细信息
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Parallel Learning:Overview and Perspective for computational Learning Across Syn2Real and Sim2Real
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ieee/CAA Journal of Automatica Sinica 2023年 第3期10卷 603-631页
作者: Qinghai Miao Yisheng Lv Min Huang Xiao Wang Fei-Yue Wang School of Artificial Intelligence University of Chinese Academy of SciencesBeijing 100049China School of Artificial Intelligence Anhui UniversityHefei 266114China Qingdao Academy of Intelligent Industries Qingdao 230031China State Key Laboratory for Management and Control of Complex Systems Institute of AutomationChinese Academy of SciencesBeijing 100190China IEEE
The virtual-to-real paradigm,i.e.,training models on virtual data and then applying them to solve real-world problems,has attracted more and more attention from various domains by successfully alleviating the data sho... 详细信息
来源: 评论
ColO-RAN: Developing Machine Learning-Based xApps for Open RAN Closed-Loop control on Programmable Experimental Platforms
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ieee TRANSACTIONS ON MOBILE COMPUTING 2023年 第10期22卷 5787-5800页
作者: Polese, Michele Bonati, Leonardo Doro, Salvatore Basagni, Stefano Melodia, Tommaso Northeastern Univ Inst Wireless Internet Things Boston MA 02115 USA
Cellulaar networks are undergoing a radical transformation toward disaggregated, fully virtualized, and programmable architectures with increasingly heterogeneous devices and applications. In this context, the open ar... 详细信息
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Achieving Reinforcement Learning Speedup via Quantum Kernel Estimation  29
Achieving Reinforcement Learning Speedup via Quantum Kernel ...
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29th Annual ieee International symposium on Technology and Society (ISTAS)
作者: Gilvarry, John Emeakaroha, Vincent C. Munster Technol Univ Comp Sci Dept Cork Ireland
Reinforcement learning is playing a crucial role in sustainable developments and enabling wide applications in our daily lives ranging from self-driving cars, robotics, automation, personalised product suggestions, us... 详细信息
来源: 评论
The implementation of Thread Network for a Smart Factory
The implementation of Thread Network for a Smart Factory
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ieee symposium Series on computational intelligence (ieee SSCI)
作者: Castro, Camille Mavic Tupas Sharma, Anurag Kumar, Dhivya Sampath Abidi, Khalid Kim, Noori Newcastle Univ Newcastle Upon Tyne Tyne & Wear England Singapore Inst Technol Singapore Singapore
In an excessively busy factory, a shortage of manpower is more likely to happen due to the overload of orders which may lead to immoderate overtime for workers. This is a customary hindrance to a factory's higher ... 详细信息
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Redundant robot control with learning from expert demonstrations
Redundant robot control with learning from expert demonstrat...
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ieee symposium Series on computational intelligence (ieee SSCI)
作者: Ramirez, Jorge Yu, Wen Natl Polytech Inst Dept Control Automat IPN CINVESTAV Mexico City DF Mexico IPN Dept Control Automat CINVESTAV Mexico City DF Mexico
This paper proposes a biased exploration based reinforcement learning, which uses expert experiences to avoid the exploration of all states. The method is applied to control redundant robots with expert experiences. A... 详细信息
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Real-Time Artificial intelligence Text Analysis for Identifying Burnout Syndromes in High-Performance Athletes  22
Real-Time Artificial Intelligence Text Analysis for Identify...
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2024 ieee 22nd World symposium on Applied Machine intelligence and Informatics, SAMI 2024
作者: Biro, Attila Janosi-Rancz, Katalin Tunde Szilagyi, Laszlo UMFST G.E. Palade Targu Mures Romania University of Malaga Spain IBIMA Malaga Spain Sapientia University Department of Mathematics-Informatics Tg. Mureş Romania Obuda University Physiological Controls Research Center Budapest Hungary Sapientia University Computational Intelligence Research Group Tg. Mureş Romania
Predicting burnout from texts by using AI necessitates an interdisciplinary approach, combining sports science, psychology, and machine learning. This research is essential to understanding the psychological signs of ... 详细信息
来源: 评论
ieee 23rd International symposium on computational intelligence and Informatics, CINTI 2023 - Proceedings
IEEE 23rd International Symposium on Computational Intellige...
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23rd ieee International symposium on computational intelligence and Informatics, CINTI 2023
The proceedings contain 68 papers. The topics discussed include: how do generation Z young people view academic ethics modelling the user polarization of echo chambers, using network science methods;fuzzy rule-based e...
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