Probability and Stochastic Processes with Applications to Communications, Systems and Networks

• Other Authors: Tsitsiashvili, Gurami (Editor), Bochkov, Alexander (Editor)
• Format: Electronic Book Chapter
• Language: English
• Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
• Subjects: Medicine; acyclic digraph; maximal flow; minimal cut; minimal arc cover; bipartite digraph; decision-making; expert assessments; pairwise comparisons; risk; smart expansive system; uncertainty; vector compression method; non-homogeneous Markov systems; asymptotic behavior; rate of convergence; noisy threshold group testing; defective samples; number of tests; bounds; COVID-19; cyber-attack detection; deep machine learning; smart power grid; data processing; unavailability; imperfect repair; failure-based replacement; renewal theory; optimization; batch service; roots; discrete-time queue; discrete renewal theory; finite buffer capacity; large outliers; arrays of observations; complex systems; digraphs; queues; bulk service; multi-server; Markov chain; quorum; k-out-of-n system; dependent failures; order statistics; reliability characteristics; sensitivity analysis; n/a
• Online Access: DOAB: download the publication; DOAB: description of the publication

The present reprint contains all of the articles accepted and published in the Special Issue "Probability and Stochastic Processes with Applications to Communications, Systems and Networks" from the MDPI Mathematics journal. This Special Issue is devoted to probability, statistics, stochastic processes and their different applications in system and network analysis. The Special Issue includes works related to the analysis and applications of different queuing models, which begin with general approaches in modeling queuing systems and networks; an analysis of probabilistic and statistical methods in telecommunication; an asymptotic analysis of queuing networks in the condition of a large load; general complex networks and their structures, e.g., topology and graph theory; mathematical methods and models in smart cities; exclusive statistical methods, such as statistical estimates in bio/ecology, medicine and neural networks; and studies that estimate parameters in complex technical systems, etc. We hope that the scientific results collected in this reprint will help foster future research related to probability, stochastic processes and their applications.