Proceedings of the Future Technologies Conference (FTC) 2025, Volume 1

Häftad, Engelska, 2025

Del 1675 i serien Lecture Notes in Networks and Systems

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Beskrivning

This book aims to provide a comprehensive reference for the research community and practitioners engaged in future technologies.The Future Technologies Conference (FTC) 2025 was held on 6–7 November 2025 in Munich, Germany, bringing together researchers, academics, and industry professionals to present and discuss advances in various technology areas. The conference encompassed topics such as Technology Trends, Artificial Intelligence, Computer Vision, Data Science, Computing, Ambient Intelligence, Security, and e-Learning.A total of 485 papers were submitted, and following a thorough peer-review process, 175 papers were accepted for publication. These proceedings include contributions that highlight both foundational research and practical applications in emerging technologies.

Produktinformation

Utgivningsdatum:2025-10-29
Mått:155 x 235 x 40 mm
Vikt:1 095 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Networks and Systems
Antal sidor:721
Förlag:Springer Nature Switzerland AG
ISBN:9783032079855

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Innehållsförteckning

Shadow Management: Leveraging Responsible Agentic AI to Revolutionize Safe Decision-Making in Complex Organizations.- Investigating the Applicability of Long Short-Term Memory (LSTM) Algorithm in Project Decision-Making: A Case Study in ML-Driven Forecasting.- iSmart Guide: Transforming Adult Learning with AI-Powered Personalization.- A Case Study for Immersive Technology-Based Evidence Representation.- An AutoML Design Pattern Focusing on Transparency, Extendibility and Efficiency.- Adaptive Historical Education Through Generative AI and Immersive Game Design.- The Use of Artificial Intelligence in a Myo-to-Gesture Device.- Practical Decisions for Development of Retrieval-Augmented Generation Systems.- Legendre Chaotic Neural Network with Negative Self-Feedback Memory for Continuous Function Optimisation.- Price Models for Diagnostic Decision Support: Market Structure Analysis and Future Trends.