Disruptive Information Technologies for a Smart Society [electronic resource] : Proceedings of the 14th International Conference on Information Society and Technology (ICIST) / edited by Miroslav Trajanović, Nenad Filipović, Milan Zdravković.

Colaborador(es): Trajanović, Miroslav [editor.] | Filipović, Nenad [editor.] | Zdravković, Milan [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Networks and Systems ; 860Editor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: X, 438 p. 160 illus., 128 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031714191Tema(s): Engineering -- Data processing | Software engineering | Computational intelligence | Data Engineering | Software Engineering | Computational IntelligenceFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 620.00285 Clasificación LoC:TA345-345.5Recursos en línea: Libro electrónicoTexto
Contenidos:
Machine Learning Model for Prediction of Indicative Water Parameters on the Danube River based on Satellite Data -- XGBoost is all you need the case of forecasting transmitted heat energy in District Heating Systems -- XAI4HEAT Towards demand-driven, AI facilitated, end-to-end management of District Heating Systems -- integrated Multi Criteria Decision Analysis Sizing Optimization and Demand Side Management for Defining Optimal System Configuration while Reducing Costs and CO2 Emissions.
En: Springer Nature eBookResumen: This book aims at meeting the challenge of getting along with today's unprecedented rate of innovation supported by disruptive digital technologies, which changed the perception of the productivity and effectiveness and opened a gateway to more than ever dynamic advances in solving the important societal challenges. "Disruptive Information Technologies for a Smart Society" is the proceedings book of the 14th International Conference for Information Society and Technologies that brings together experts from various fields to discuss the latest advancements in industrial AI, digitalization in health, well-being and sport, enterprise information systems, large language models, and security and safety. The book and the conference serve as a platform for researchers of all career stages in technical sciences, especially Ph.D. students, practitioners, and industry experts in health care, AI and other areas to share and learn on the cutting-edge technologies and stay at the forefront of these rapidly evolving fields.
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Machine Learning Model for Prediction of Indicative Water Parameters on the Danube River based on Satellite Data -- XGBoost is all you need the case of forecasting transmitted heat energy in District Heating Systems -- XAI4HEAT Towards demand-driven, AI facilitated, end-to-end management of District Heating Systems -- integrated Multi Criteria Decision Analysis Sizing Optimization and Demand Side Management for Defining Optimal System Configuration while Reducing Costs and CO2 Emissions.

This book aims at meeting the challenge of getting along with today's unprecedented rate of innovation supported by disruptive digital technologies, which changed the perception of the productivity and effectiveness and opened a gateway to more than ever dynamic advances in solving the important societal challenges. "Disruptive Information Technologies for a Smart Society" is the proceedings book of the 14th International Conference for Information Society and Technologies that brings together experts from various fields to discuss the latest advancements in industrial AI, digitalization in health, well-being and sport, enterprise information systems, large language models, and security and safety. The book and the conference serve as a platform for researchers of all career stages in technical sciences, especially Ph.D. students, practitioners, and industry experts in health care, AI and other areas to share and learn on the cutting-edge technologies and stay at the forefront of these rapidly evolving fields.

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