Buch, Englisch, Band 1621, 532 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 814 g
Proceedings of the 15th International Conference on Information Society and Technologies (ICIST 2025)
Buch, Englisch, Band 1621, 532 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 814 g
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-3-032-04889-9
Verlag: Springer
This book covers proceedings of the 15th International conference for information society and technologies that brings together experts from various fields to discuss the latest advancements in using AI and IoT to shape a future industry, digitalization of health, well-being and sport, energy and environment, generative AI, and large language models, machine learning, and software engineering. In recent years, disruptive digital technologies, such as AI and blockchain, changed the perception of productivity and effectiveness and opened a gateway to more than ever dynamic advances in solving the important societal challenges. Unprecedented level of scientific collaboration in those areas completely transformed the research landscape, through extensive flow of knowledge, information and data, making the research communities more digital than ever. Even beyond solving actual problems, disruptive tech contributed to creating new visionary objectives that could transform the way in which we live and work in the future information society.
The book features a collection of papers that showcase novel approaches and practices in these areas, highlighting the potential of these technologies to disrupt traditional systems and pave the way for a smarter and more connected society.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1.Correlation analysis between sound features and cutting force components in turning process.- 2.Estimation of Total Operation Time in Turning of a Part With Complex Geometry Using Regression Machine Learning Models.- 3.Immersive CNC Lathe Operation Training: A Virtual Reality Approach for Education.- 4.Toward Advancing Industrial Cyber-Physical Data Utilization and Resilience through Pervasive Intelligence.- 5.Unsupervised Online Detection and Isolation of Abrupt Faults.- 34.Real Function Approximation Around a Point with Taylor Polynomials Using Custom Machine Code.- 35.Building Blocks for Object-Oriented Refactoring Engines.- 36.Predicting Diabetes Using Machine Learning: A Cross-Platform Study Between Python and ML.NET.- 37.Implementation of a web application for creating, editing and managing attack trees.- 38.Expense tracker using LLM: Mobile application with scanning receipts issued in Serbia.
