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The present book brings together experience, current work, and promising future trends associated with distributed computing, artificial intelligence, and their application in order to provide efficient solutions to real problems. DCAI 2023 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. This year’s technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 108 papers were submitted, by authors from 31…mehr
The present book brings together experience, current work, and promising future trends associated with distributed computing, artificial intelligence, and their application in order to provide efficient solutions to real problems. DCAI 2023 is a forum to present applications of innovative techniques for studying and solving complex problems in artificial intelligence and computing areas. This year’s technical program presents both high quality and diversity, with contributions in well-established and evolving areas of research. Specifically, 108 papers were submitted, by authors from 31 different countries representing a truly “wide area network” of research activity. The DCAI’23 technical program has selected 50 full papers in the Special Sessions (ASET, AIMPM, AI4CS, CLIRAI, TECTONIC, PSO-ML, SmartFoF, IoTalentum) and, as in past editions, it will be special issues in ranked journals. This symposium is organized by the LASI and Centro Algoritmi of the University of Minho (Portugal). The authors like to thank all the contributing authors, the members of the Program Committee, National Associations (AEPIA, APPIA), and the sponsors (AIR Institute).
Use of KPI Indicators to Optimize Production Process Performance–Case Study.- Job rotation for the competencies maintaining: A case study in IT project management.- Applying an enterprise architecture approach to modeling production processes.- Web based application for probability job scheduling.- Working time standardization in the assembly process of regenerated elements using MES system and timing method.- Massive Natural Language Processing in Distributed Environment.- Bibliometric Approach to the State of Reporting on Sustainability Information in European Private Organisations. Scientific Update.
Use of KPI Indicators to Optimize Production Process Performance-Case Study.- Job rotation for the competencies maintaining: A case study in IT project management.- Applying an enterprise architecture approach to modeling production processes.- Web based application for probability job scheduling.- Working time standardization in the assembly process of regenerated elements using MES system and timing method.- Massive Natural Language Processing in Distributed Environment.- Bibliometric Approach to the State of Reporting on Sustainability Information in European Private Organisations. Scientific Update.
Use of KPI Indicators to Optimize Production Process Performance–Case Study.- Job rotation for the competencies maintaining: A case study in IT project management.- Applying an enterprise architecture approach to modeling production processes.- Web based application for probability job scheduling.- Working time standardization in the assembly process of regenerated elements using MES system and timing method.- Massive Natural Language Processing in Distributed Environment.- Bibliometric Approach to the State of Reporting on Sustainability Information in European Private Organisations. Scientific Update.
Use of KPI Indicators to Optimize Production Process Performance-Case Study.- Job rotation for the competencies maintaining: A case study in IT project management.- Applying an enterprise architecture approach to modeling production processes.- Web based application for probability job scheduling.- Working time standardization in the assembly process of regenerated elements using MES system and timing method.- Massive Natural Language Processing in Distributed Environment.- Bibliometric Approach to the State of Reporting on Sustainability Information in European Private Organisations. Scientific Update.
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