Advances in Real-Time and Autonomous Systems
Produktnummer:
186614e1e95cad4274adb69ec9c8775567
Themengebiete: | AUTSYS - 2023 Autonomous Systems Embedded Systems Real-Time Communication Real-Time Programming Language Real-Time Scheduler Real-Time Systems Safety critical Systems |
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Veröffentlichungsdatum: | 25.09.2025 |
EAN: | 9783031986963 |
Sprache: | Englisch |
Seitenzahl: | 382 |
Produktart: | Kartoniert / Broschiert |
Herausgeber: | Schaible, Marcel Unger, Herwig |
Verlag: | Springer International Publishing |
Untertitel: | Proceedings of the 16th International Conference on Autonomous Systems |
Produktinformationen "Advances in Real-Time and Autonomous Systems"
This book serves as both a cutting-edge reference and a practical guide to building AI systems that are transparent, trustworthy, and tuned for real-world impact, featuring contributors from three continents and backed by leading institutions.Unlock the next wave of graph-based artificial intelligence, fuzzy logic, and human-centric machine learning with this authoritative Springer proceedings book. Twenty-four rigorously peer-reviewed chapters—spanning semantic similarity in Wikipedia, sparse distributed representations, explainable image generation, privacy-preserving mobility analytics, sentiment mining in public transport, counterfeit-banknote detection, 5G network capacity planning, and mixed-order traffic prediction—provide a panoramic view of state-of-the-art research that turns theory into deployable solutions.Readers gain step-by-step methodologies for building restricted Boltzmann machines enhanced with fuzziness, dual-graph semantic extractors, Bloom-filter variants, and the versatile GraphLearner simulator. Each contribution includes reproducible workflows, comparative baselines, and publicly available code or datasets—accelerating adoption in academia and industry alike.Highlights include a blueprint for emotion-aware AI agents, a cloud-intelligence framework that empowers SMEs with decision support, and an adaptive metric for privacy-preserving urban-mobility sharing that balances usability and anonymity.

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