04386nam 22007455 450 991048391690332120251029144908.03-030-68476-810.1007/978-3-030-68476-1(CKB)4100000011752004(MiAaPQ)EBC6473591(PPN)253860687(DE-He213)978-3-030-68476-1(Au-PeEL)EBL6473591(OCoLC)1237402822(EXLCZ)99410000001175200420210206d2021 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierReliability and Statistics in Transportation and Communication Selected Papers from the 20th International Conference on Reliability and Statistics in Transportation and Communication, RelStat2020, 14-17 October 2020, Riga, Latvia /edited by Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis1st ed. 2021.Cham :Springer International Publishing :Imprint: Springer,2021.1 online resource (883 pages) illustrationsLecture Notes in Networks and Systems,2367-3389 ;195Includes index.3-030-68475-X 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.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 noteworthy methods and results discussed at the International Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place remotely from Riga, Latvia, on October 14 – 17, 2020. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education.Lecture Notes in Networks and Systems,2367-3389 ;195Computational intelligenceTransportation engineeringTraffic engineeringOperations researchComputer networksData miningComputational IntelligenceTransportation Technology and Traffic EngineeringOperations Research and Decision TheoryComputer NetworksData Mining and Knowledge DiscoveryComputational intelligence.Transportation engineering.Traffic engineering.Operations research.Computer networks.Data mining.Computational Intelligence.Transportation Technology and Traffic Engineering.Operations Research and Decision Theory.Computer Networks.Data Mining and Knowledge Discovery.380Prentkovskis OlegasYatskiv IrinaKabashkin Igor1954-MiAaPQMiAaPQMiAaPQBOOK9910483916903321Reliability and Statistics in Transportation and Communication2233478UNINA