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Titlebook: Intelligent Distributed Computing XV; Lars Braubach,Kai Jander,Costin Bădică Conference proceedings 2023 The Editor(s) (if applicable) and

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Machine Learning Model for Flower Image Classification on a Tensor Processing Unitbeen tackled by performing machine learning prediction on the basis of extracted features such as colour or texture extraction. In this project, a novel approach for solving this problem is introduced by integrating and ensembling two efficiently scaled Deep Conventional Neural Network models - Effi
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Distributed Microservices Architecture for Fuzzy Risk-Based Structural Analysis of Resistance to Cha the market. To do so, they readily embrace digital transformation initiatives and create a climate of trust and serenity for the governance of resistance to change. The objective of this work is to propose a holistic approach for the analysis of resistance to change in the implementation of the dig
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Towards an Online Multilingual Tool for Automated Conceptual Database Designa is the first online web-based tool enabling automatic conversion of a natural language text into the target conceptual database model represented by a UML class diagram. It implements the entire process through the orchestration of web services, whereby some core functionalities are carried out by
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Applying Machine Learning Methods to Detect Abnormal User Behavior in a University Data Center on seven classifiers confirmed the high efficiency of the proposed approach. They showed that the decision tree, the k-nearest neighbors’ method and the multilayer neural network have the highest efficiency in the problem being solved.
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Distributed Microservices Architecture for Fuzzy Risk-Based Structural Analysis of Resistance to Chaen resistance to change in digital transformation. We also describe a distributed architecture, using a graph-oriented database and some other microservices, that guarantees the monitoring of digital transformation. Our approach is part of a continuous improvement process, which contributes to the b
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