Results 61 to 70 of about 771,482 (302)
Segregating Markov Chains [PDF]
Dealing with finite Markov chains in discrete time, the focus often lies on convergence behavior and one tries to make different copies of the chain meet as fast as possible and then stick together. There is, however, a very peculiar kind of discrete finite Markov chain, for which two copies started in different states can be coupled to meet almost ...
Timo Hirscher, Anders Martinsson
openaire +2 more sources
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Subgeometric Ergodicity under Random-Time State-Dependent Drift Conditions
Motivated by possible applications of Lyapunov techniques in the stability of stochastic networks, subgeometric ergodicity of Markov chains is investigated.
Mokaedi V. Lekgari
doaj +1 more source
We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung +4 more
wiley +1 more source
Second-tier cities are an important element in the socio-economic development of each country, including V4 countries. The result is a dynamic change in land use/cover patterns.
Marcin Feltynowski +2 more
doaj +1 more source
We investigate random-time state-dependent Foster-Lyapunov analysis on subgeometric rate ergodicity of continuous-time Markov chains (CTMCs). We are mainly concerned with making use of the available results on deterministic state-dependent drift ...
Mokaedi V. Lekgari
doaj +1 more source
A Review on Smoothing Techniques in Markov Chains Methods
Markov chains have been suggested since the early sixties for modeling manpower flow, mostly in governmental and public agencies. Numerous books and articles have proclaimed Markov chains as a superior forecasting technique.
Ibrahim, Haslinda +3 more
core +2 more sources
Model checking of continuous-time Markov Chains against timed automata specifications [PDF]
We study the verification of a finite continuous-time Markov chain (CTMC) C against a linear real-time specification given as a deterministic timed automaton (DTA) A with finite or Muller acceptance conditions.
Jagadeesan, R. +14 more
core +3 more sources
Employing a digital single‐molecule activity tracker (dSMAT), this research demonstrates that high‐photon‐flux irradiation drives progressive oxidative scarring in polymerases. Unlike simple thermal denaturation, real‐time kinetic tracking dynamically visualizes enzymes degrading into multiple impaired subpopulations.
Anran Zheng +11 more
wiley +1 more source
PageRank of Gluing Networks and Corresponding Markov Chains
This paper studies Google’s PageRank algorithm. By an innovative application of the method of gluing Markov chains, we study the properties of Markov chains and extend their applicability by accounting for the damping factor and the personalization ...
Xuqian Ben Han +2 more
doaj +1 more source

