Frontiers of Industrial Cyber-Physics

Neural network architecture optimization for atypical load forecasting in power grid cyber physical system.- Vector autoregressive models for analysis and forecasting of consumption indicators.- Soft sensor based mass transfer process fault detection and diagnosis.- ML based digital twins of thermal power plants heat exchange equipment for predictive diagnostic systems.- The AI based method for defining the similarity of cyber physical systems.- Health index estimation for distributed cyber-physical systems.- Software for reliability analysis and efficiency assessing of technological equipment functioning.- Software Methods for Energy Consumption Evaluation.- Reliability Estimation for an Automated Line with an Inter Operational Storage Device.- ANFIS network based fuzzy expert system model for power equipment defects diagnosis.- Towards definition of the knowledge model structure on methods for solving tasks of control plants with parametric uncertainty.- Modeling the optimal trajectory of a reusable spacecraft entering the Earth's atmosphere.- New method for small unmanned helicopter emergency landing in case of onboard equipment failures.- Robust trajectory tracking control of nonholonomic wheeled mobile robots with external disturbances.- Assessment of the efficiency of passenger transportation in the cyber transport system based on unmanned electric cars.- Information granulation for tasks of assessing malicious activity in the smart city infrastructure.- Development and application of an active cyber attack simulator.- Obfuscation in decentralized public systems.- Computerized information security risk management system APCS based on genetic algorithms.- Digital Image Manipulation Detection as a Task of Image Provenance Verification.- On Acceleration of Logarithms Computing in the Chor Rivest Cryptosystem.- Hybrid Multiple Key Spaces Schemes Using Unitals.

• Erscheinungsdatum: 01.01.2026
• Autor/Autorin: Alla G. Kravets
• Reihe: Engineering (R0)
• Format: E-Book
• Dateiformat: PDF
• Kopierschutz: Wasserzeichen
• Dateigröße: 19.1 MB
• Verlag: SPRINGER
• Sprache: Englisch
• Umfang: 314 Seiten
• ISBN: 9783032027177
• Lieferung: Sofort per Download
• Hinweis: Sofort per Download lieferbar. Kein physischer Versand.
• Kompatibilität: Lesbar auf Geräten und Apps mit PDF-Unterstützung.