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Titlebook: Information and Software Technologies; 29th International C Audrius Lopata,Daina Gudonien?,Rita Butkien? Conference proceedings 2024 The Ed

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發(fā)表于 2025-3-21 19:41:58 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Information and Software Technologies
副標題29th International C
編輯Audrius Lopata,Daina Gudonien?,Rita Butkien?
視頻videohttp://file.papertrans.cn/466/465953/465953.mp4
叢書名稱Communications in Computer and Information Science
圖書封面Titlebook: Information and Software Technologies; 29th International C Audrius Lopata,Daina Gudonien?,Rita Butkien? Conference proceedings 2024 The Ed
描述.This book constitutes the refereed proceedings of the 29th International Conference on Information and Software Technologies, ICIST 2023, held in Kaunas, Lithuania, in October 2023..The 27 full papers included in this volume were carefully reviewed and selected from 75 submissions. These proceedings contain a diverse array of research and insights in the field of Information Technology and related areas, such as: intelligent systems and software engineering advances, intelligent methods for data analysis and computer aided software engineering, language technologies and smart e-learning applications, AI-based it solutions..
出版日期Conference proceedings 2024
關(guān)鍵詞artificial intelligence; machine learning; blockchain technologies; data management systems; language te
版次1
doihttps://doi.org/10.1007/978-3-031-48981-5
isbn_softcover978-3-031-48980-8
isbn_ebook978-3-031-48981-5Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Leveraging Semantic Search and?LLMs for?Domain-Adaptive Information Retrievalthat may be relevant in determining the value of organizations as potential collaborators. We also introduce a mechanism for users to ask follow-up questions and to establish subject-specific communication with the search system. The results of our feasibility study show that the integration of sema
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Towards Data Integration for Hybrid Energy System Decision-Making Processes: Challenges and Architecpacity to receive and integrate various types of information. This includes real-time data on energy demand and supply, weather data, performance data derived from different system components, and historical data, all of which contribute to informed decision-making. The ability to accurately integra
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