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Titlebook: Symposium Transsonicum III; IUTAM Symposium Gött J. Zierep,H. Oertel Conference proceedings 1989 Springer-Verlag Berlin Heidelberg 1989 CFD

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S. S. Desai,R. Rangarajan,U. N. Sinha,K. S. Ravichandran,J. P. Singhntelligent connection between multi hop servers. The system improves the security of remote login by limiting the IP, validity and available commands of the certificate. After users log in to the remote server with the certificate provided by the system, they can use commands to perform related oper
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D. Schwamborn,P. Strykowski,H. Oertel Jr. algorithms of face detection, facial key points detection and face mosaic into the processing logic. Setting the operator parallelism realized parallel processing of video data, which improved the system throughput. The user can choose which algorithm to perform on the video, and can also choose th
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G. Schnerr,U. Dohrmannpt cannot deal with the dependencies and configuration settings of the newer version of Seafile. When the YAML file was made for Treehouses, it required a few of tweaking the Seafile configuration to make the file exchange function work. In addition, the analyze of the troubleshooting during the pro
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J. D. Cole,L. P. Cookf this study is to compare the performance analysis (basis of accuracy). Different machine learning (supervised) methods are used to classify the products. In this paper we compare different machine learning techniques (Nonlinear and rule-based) to classify the products. These approaches have been t
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J.-P. Guiraud can serve as a reference for instructors and students takingcourses in hybrid computing getting abreast of cutting edge and future directions of a connected ecosystem. It will also benefit industry professionals like software engineers or data scientists, by providing a synergy between Web technolo
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H. K. Chengitable for this purpose and ideally overcomes the limitations of analyzing information from various social media sites. This chapter will address some of the issues surrounding Semantic Web technologies and ways to analyze users’ interaction patterns to depict the personality and hence the depressio
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A. Kluwick,F. Kollernted concepts in the same way as a human does. Semantic intelligence technologies are the most important component in developing artificially intelligent knowledge-based systems, since they assist machines in contextually and intelligently integrating and processing resources. This chapter aims at d
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V. N. Diesperovitable for this purpose and ideally overcomes the limitations of analyzing information from various social media sites. This chapter will address some of the issues surrounding Semantic Web technologies and ways to analyze users’ interaction patterns to depict the personality and hence the depressio
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