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Titlebook: Artificial Intelligence in China; Proceedings of the I Qilian Liang,Wei Wang,Bingcai Chen Conference proceedings 2020 Springer Nature Singa

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期刊全称Artificial Intelligence in China
期刊简称Proceedings of the I
影响因子2023Qilian Liang,Wei Wang,Bingcai Chen
视频video
发行地址Collects selected papers presented at the International Conference on Artificial Intelligence in China (ChinaAI) 2019.Reflects the latest developments in Artificial Intelligence in China.Disseminates
学科分类Lecture Notes in Electrical Engineering
图书封面Titlebook: Artificial Intelligence in China; Proceedings of the I Qilian Liang,Wei Wang,Bingcai Chen Conference proceedings 2020 Springer Nature Singa
影响因子.This book brings together papers presented at the International Conference on Artificial Intelligence in China (ChinaAI) 2019, which provided a venue for disseminating the latest advances and discussing the interactions and links between the various subfields of AI. Addressing topics that cover virtually all aspects of AI and the latest developments in China, the book is chiefly intended for undergraduate and graduate students in Electrical Engineering, Computer Science, and Mathematics, for researchers and engineers from academia and industry, and for government employees (e.g. at the NSF, DOD, and DOE). .
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Fallstudien zum ProduktionsmanagementHowever, failure to fully realize consistency with pre-planned scheme in actual task implementation may occur considering changes of task, damage, addition or reduction of UAVs, fuel loss, unknown circumstance and other uncertainties, which thus entail a simultaneous online regulation scheme. By pre
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Bearbeitung einer Fallstudie - ein Beispieloning error data, this paper proposes to use the time series analysis method to analyze the characteristics of the positioning error data of BDS single-point positioning and differential positioning from multiple angles of self-correlation, extremity and thick tail, which can provide the basis for d
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Fallstudien zum Produktionsmanagement building segmentation is necessary for urban planning. Fully convolutional networks (FCNs) have recently shown state-of-the-art performance in image segmentation. In order to get better aerial images segmentation performance, we use a method of combing FCNs with multi-scale features and attention m
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