Reliability and Statistics in Transportation and Communication: Selected Papers from the 23rd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication: Digital Twins - From Development to Application, RelStat-2023, October 19-21, 2023, Riga, Latvia: Lecture Notes in Networks and Systems, cartea 913
Editat de Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskisen Limba Engleză Paperback – feb 2024
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Specificații
ISBN-13: 9783031535970
ISBN-10: 3031535979
Pagini: 630
Ilustrații: X, 630 p. 169 illus., 146 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.89 kg
Ediția:1st ed. 2024
Editura: Springer Nature Switzerland
Colecția Springer
Seria Lecture Notes in Networks and Systems
Locul publicării:Cham, Switzerland
ISBN-10: 3031535979
Pagini: 630
Ilustrații: X, 630 p. 169 illus., 146 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.89 kg
Ediția:1st ed. 2024
Editura: Springer Nature Switzerland
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 23rd International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat 2023), which took place as a hybrid event on October 19 – 21, 2023, in/from Riga, Latvia. It spans a broad spectrum of advanced theories and methods, giving a special emphasis to the digitalization of transport systems, as well as smart, artificial intelligence, and digital twins applications.
Caracteristici
Covers methods for modeling and control of complex engineering systems Describes multidisciplinary approaches for reliability and dependability analysis Gives a special emphasis to digitalization of and AI applications 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.