Technological Innovation for AI-Powered Cyber-Physical Systems
Springer International Publishing (Verlag)
978-3-031-97050-4 (ISBN)
This book constitutes the refereed proceedings of the 16th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems on Technological Innovation for AI-Powered Cyber-Physical Systems, DoCEIS 2025, held in Lisbon, Portugal, during July 2 4, 2025.
The 29 full papers presented were carefully reviewed and selected from 60 submissions. They were focused on topical sections as follows: AI in Business Applications; AI in Industry 4.0; Smart Systems in Sustainable Development; AI-Powered Healthcare; AI in Systems, Decision & Control; Intelligent Sensing & Communication Systems; Smart Power Systems; Electronic Systems.
.- AI in Business Applications.
.- A Collaborative Approach to Last-Mile Logistics.
.- Processes Classification Tool Development Based on BERT for Logistics Laboratory.
.- An Access Control Method Against Unauthorized and Noncompliant Behaviors Leveraging Large Language Models.
.- A Pattern-Based Approach to Data Privacy in Business Processes.
.- AI in Industry 4.0.
.- Large Language Models to Support Altruistic Collaborative Healing in Smart Manufacturing.
.- Data Pre-processing of Hard Disk Drive Data for failure prediction in the context of Industry 4.0.
.- Forecasting Power Demand in Complex Buildings Using Machine Learning: A Shopping Center Case Study.
.- Smart Systems in Sustainable Development.
.- Ensemble Deep Learning Model for AI-Powered Cyber-Physical Systems in Precision Agriculture.
.- An Integrated Framework for the Development of a Multi-Sensor Node to Support Wildfire Management.
.- Detection and Characterization of Plume-Dominated Wildfires.
.- AI-Powered Healthcare.
.- Device Prototype for Kinematic and Electromyographic Analysis of the Upper Limb.
.- Explainable Normative Modeling: Subcortical Changes in Frontotemporal Dementia Subtypes.
.- User-Centered and Technical Requirements for Myoelectric Pediatric Arm Prosthesis Design: A Preliminary Study.
.- Embedding Predecessor Information in Optimization of Genetic Algorithm (GA) based Blind Image Restor
| Erscheinungsdatum | 13.06.2025 |
|---|---|
| Reihe/Serie | IFIP Advances in Information and Communication Technology |
| Zusatzinfo | XIV, 424 p. 168 illus., 122 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Informatik ► Weitere Themen ► Hardware | |
| Schlagworte | AI • collaborative networks • Cyber-Physical Systems • cyber security • Electronics • Energy systems • Healthcare systems • Human-Robot Collaboration • Manufacturing |
| ISBN-10 | 3-031-97050-0 / 3031970500 |
| ISBN-13 | 978-3-031-97050-4 / 9783031970504 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
