Titlebook: Enterprise Information Systems; 23rd International C Joaquim Filipe,Michał Śmiałek,Slimane Hammoudi Conference proceedings 2022 Springer Na

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The Value of Foreign Language Learningnd integrated systems. The results from our study can help software engineers and designers to better understand the complex cultural practices and their technical counterparts in this domain, thus contributing to a discussion on DLMS, their requirements and challenges to their development.

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A Methodology for Mapping Perceived Spatial Qualitiesan spaces. The use cases were conducted in the frame of the project . with a project partner that had the goal of creating the first maps of perceived spatial quality in Switzerland. The results obtained from the use cases showed that the application of the proposed methodology grants capturing the perceptions of a collective accurately.

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1865-1348 tion systems analysis and specification, software agents and internet computing, human-computer interaction, and enterprise architecture..978-3-031-08964-0978-3-031-08965-7Series ISSN 1865-1348 Series E-ISSN 1865-1356

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https://doi.org/10.1007/978-1-4613-1633-6mponent that incorporates mechanisms for automatic discovery of changes in the structure of integrated data sets and propagation of these changes in a data warehouse and other components of a data analysis system. In addition to the presentation of our approach, we give details of approbation of our software prototype in the case study system.

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Domain Name and Website Valuation the model in an embedded system using the SiPEED MaiX Dock board. The model validation results were 98.60% precision and 100.00% recall. Bench-scale test results were 100.00% precision and 70.00% recall. The results were promising and indicate the feasibility of the proposal.

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Anal-Canal

Edge Deep Learning Towards the Metallurgical Industry: Improving the Hybrid Pelletized Sinter (HPS) the model in an embedded system using the SiPEED MaiX Dock board. The model validation results were 98.60% precision and 100.00% recall. Bench-scale test results were 100.00% precision and 70.00% recall. The results were promising and indicate the feasibility of the proposal.