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Titlebook: Space Engineering; Proceedings of the S G. A. Partel Conference proceedings 1970 D. Reidel Publishing Company, Dordrecht, Holland 1970 auto

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书目名称Space Engineering
副标题Proceedings of the S
编辑G. A. Partel
视频video
丛书名称Astrophysics and Space Science Library
图书封面Titlebook: Space Engineering; Proceedings of the S G. A. Partel Conference proceedings 1970 D. Reidel Publishing Company, Dordrecht, Holland 1970 auto
描述The 2nd International Conference on Space Engineering took place May 7-10, 1969, at Venice, Italy, under the organization of the Centro Studi Trasporti Missilistici and the Association pour l‘Etude et la Recherche Astronautique et Cosmique. Its purpose was to bring together those interested in the technological development of space components, to exchange information by the presentation of papers and to discuss present problems and future trends, and to this end forty-eight papers were presented by distinguished experts from all over the world. The papers were selected from as wide a background as possible, approximately an equal number coming from the academic and research establishments as from industry. The principal criterion for their selection was that they should contribute to the knowledge of Space Engineering, and have application either to the improve­ ment of current technologies or to the design of more advanced systems for the future. Six pertinent sessions were planned which covered the major areas of interest: (1) Structures and Materials, where three important papers were presented; (2) Guidance and Control Systems, in which six valuable papers were presented, in­ c
出版日期Conference proceedings 1970
关键词autopilot; control; control system; energy; flow; gravity; industry; materials; nuclear energy; plates; satell
版次1
doihttps://doi.org/10.1007/978-94-011-7551-7
isbn_softcover978-94-011-7553-1
isbn_ebook978-94-011-7551-7Series ISSN 0067-0057 Series E-ISSN 2214-7985
issn_series 0067-0057
copyrightD. Reidel Publishing Company, Dordrecht, Holland 1970
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nt part of quantitative researc h on coronary heart disease, has become the main topic in coronary artery analysis. In this paper, a deep convolutional neural network (CNN) based method called Coronary Artery U-net (CAU-net) is proposed for the automatic segmentation of coronary arteries in digital
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continuous optimization problems. It may seem that solving large-scale fully-separable functions is trivial by means of problem decomposition. In principle, due to lack of variable interaction in fully-separable problems, any decomposition is viable. However, the decomposition strategy has shown to
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P. Gillesogress of online social networks, how to use the additional social information for recommendation has been intensively investigated. In this article, we devise a graph embedding technology to incorporate the customers’ social network side information into conventional matrix factorization model. Mor
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B. N. Petrov,I. S. Ukolov,E. I. Mitroshinral dynamics. The recurrent neural network is one such model capable of handling variable-length input and output. In this paper, we leverage recent advances in deep generative models and the concept of state space models to propose a stochastic adaptation of the recurrent neural network for multist
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