Advances in Real-Time and Autonomous Systems : Proceedings of the 16th International Conference on Autonomous Systems / edited by Herwig Unger, Marcel Schaible.

Format:

Book

Author/Creator:

Unger, Herwig.

Contributor:

Schaible, Marcel.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1543

Language:

English

Subjects (All):

Engineering--Data processing.

Engineering.

Application software.

Computational intelligence.

Data Engineering.

Computer and Information Systems Applications.

Computational Intelligence.

Local Subjects:

Data Engineering.

Computer and Information Systems Applications.

Computational Intelligence.

Physical Description:

1 online resource (485 pages)

Edition:

1st ed. 2026.

Place of Publication:

Cham : Springer Nature Switzerland : Imprint: Springer, 2026.

Summary:

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.

Contents:

The importance of being fuzzy

Artificial emotion: The research on making machines more human-like

Construction and comparison of linkage-graph-based representations with co-occurrence graphs and word2Vec embeddings: A case study on English Wikipedia articles - Efficient generation of sparse distributed representations (SDRS) with singular value decomposition (SVD)

Word embedding through a spring-force system

Dual graph representation for semantic extraction

Academic paper recommendation using co-occurrence graphs

Sentiment analysis in public transport: A comparative study of machine learning and deep learning models

The GraphLearner as a high order Markov chain simulator

Edge decisions and N-Gram midpoints with the GraphLearner

Empirical comparison of different bloom filter variants

Learn, predict and generate note sequences

Empowering non-experts with interactive graph visualization in generative AI: The case of GraphLearner

The psychological background of the emotional machine

Designing an emotion-based motivation model for adaptive AI agents

Personalised cloud-intelligence: AI-driven decision making for small businesses

Mixed-order spatio-temporal representation learning for traffic prediction

The role of entropy-based features in classifying tor traffic using machine learning

An adaptive metric-based method for privacy-preserving sharing of anonymized urban mobility data

Explainable prompt-based image generation: developing transparent generative models

Enhancing mobile network capacity planning with emerging technologies: A system dynamics and machine learning-based approach

Counterfeit Thai banknote detection using deep learning

StepIn: A context-aware decentralized social networking system

Conceptual design of intelligent services in decentralized social networks

Enhancing web crawling efficiency with adaptive scheduling algorithms and chatgpt integration.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

3-031-98697-0

9783031986970

OCLC:

1547929175