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Titlebook: Methods and Applications for Modeling and Simulation of Complex Systems; 23rd Asia Simulation Seiki Saito,Satoshi Tanaka,Yuichi Tamura Conf

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書目名稱Methods and Applications for Modeling and Simulation of Complex Systems
副標(biāo)題23rd Asia Simulation
編輯Seiki Saito,Satoshi Tanaka,Yuichi Tamura
視頻videohttp://file.papertrans.cn/633/632196/632196.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Methods and Applications for Modeling and Simulation of Complex Systems; 23rd Asia Simulation Seiki Saito,Satoshi Tanaka,Yuichi Tamura Conf
描述.This book constitutes the refereed proceedings of the 23rd Asia Simulation Conference?on?Methods and Applications for Modeling and Simulation of Complex Systems, AsiaSim 2024, held in Kobe, Japan,?during?September 17–20, 2024...The 28 full papers presented here, were carefully selected and reviewed from 120 submissions. These papers have been categorized into the following topical sections:?Methods for Simulation and Modeling; Simulation for Science, Industry and Society; Interdisciplinary Simulation and Machine Learning; Networks and Complex Systems & Modeling, Simulaiton, and Visualization of Digital Twin.?.
出版日期Conference proceedings 2024
關(guān)鍵詞simulation; modeling; soft computing; machine learning; high-performance computing; cloud computing; contr
版次1
doihttps://doi.org/10.1007/978-981-97-7225-4
isbn_softcover978-981-97-7224-7
isbn_ebook978-981-97-7225-4Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
The information of publication is updating

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RGFormer: Residual Gated Transformer for Image Captioninger to accomplish the cross-modal task. CRM could generate meaningful captions for diverse and large-scale datasets in a short training time without additional annotations or pre-training. Quantitative evaluation experiments show that CRM achieves results comparable to some advanced models on the COC
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Reduction of Knocking Sound Annoyance Through Engine Sound Order Simulationh and low-order components. The knocking sound was isolated by applying a 1?kHz high-pass filter to the acceleration sound. Subsequently, the isolated order components were combined with the knocking sound to create the stimulus. Auditory evaluations were conducted using these stimulus sounds, and t
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Improved Priority-Based Hindsight Experience Replay in Reinforcement Learninglidation, strategies taken by improved Priority-based Hindsight experience replay method have been demonstrated to enhance training performance and sample efficiency, offering promising avenues for advancing RL in robotic control tasks.
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