Advances in Real-Time and Autonomous Systems : Proceedings of the 16th International Conference on Autonomous Systems
Overview
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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Details
- ISBN-13: 9783031986963
- ISBN-10: 3031986962
- Publisher: Springer
- Publish Date: October 2025
- Dimensions: 9.25 x 6.27 x 0.91 inches
- Shipping Weight: 1.75 pounds
- Page Count: 404
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