תמונות העטיפה

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

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 proces...

תיאור מלא

שמור ב:
פורמט: Online
שפה:אנגלית
יצא לאור: MDPI - Multidisciplinary Digital Publishing Institute 2023
נושאים:
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
thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general
thema EDItEUR::P Mathematics and Science
גישה מקוונת:ONIX_20230405_9783036564852_14
תגים: הוספת תג
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!
סיכום: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.

פריטים דומים