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Reliability and Statistics in Transportation and Communication: Selected Papers from the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication: Artificial Intelligence in Transportation, RelStat-2022, October 20-21, 2022, Riga, Latvia: Lecture Notes in Networks and Systems, cartea 640

Editat de Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis
en Limba Engleză Paperback – 21 feb 2023
This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most relevant findings discussed at the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place on October 20 – 21, 2022,  in Riga, Latvia, in hybrid mode. It spans a broad spectrum of advanced theories and methods, giving a special emphasis to the integration of artificial intelligent concepts into reliability approaches. 






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Specificații

ISBN-13: 9783031266546
ISBN-10: 3031266544
Pagini: 540
Ilustrații: XII, 540 p. 215 illus., 154 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.77 kg
Ediția:1st ed. 2023
Editura: Springer International Publishing
Colecția Springer
Seria Lecture Notes in Networks and Systems

Locul publicării:Cham, Switzerland

Textul de pe ultima copertă

This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most relevant findings discussed at the 22nd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place on October 20 – 21, 2022,  in Riga, Latvia, in hybrid mode. It spans a broad spectrum of advanced theories and methods, giving a special emphasis to the integration of artificial intelligent concepts into reliability approaches. 

Caracteristici

Covers methods for modeling and control of complex engineering systems Describes multidisciplinary approaches for reliability and dependability analysis Gives a special emphasis to applications of AI in transportation

Cuprins

Simulation Experiments on Markov-Modulated Linear Regression Model.- Development of a Technological Solution for Automated Reintroducing of Mixed Lot Goods in the Trading Process.- Using Machine Learning For DoS Attacks Diagnostics.- Systematic Literature Review of Question Answering Systems.- Spatiotemporal Forecasting of Urban Traffic Flow Volatility.- Fast Connected Components Object Segmentation on Fused Lidar and Stereo-Camera Point Clouds With Visual-Inertial-Gimbal for Mobile Applications Utilizing GPU Acceleration.- Neuroevolutionary Approach to Metamodel-based Optimization in Production and Logistics.- An Artificial Intelligence Based Sourcing Automation Concept for Smaller and Mid-Sized Enterprises in the Metal Industry.- Overview of Spatial Decision Support System and Multiple Criteria Analysis in District Heating Network Maintenance.- Value Creation in Air Transportation: Beyond Price, Quality and Speed.