Results 31 to 40 of about 9,481,834 (176)

Post-earthquake performance recovery models for shield tunnels based on semi-Markov processes: development and application

Yantu gongcheng xuebao
To address the complexity and uncertainty inherent in the post-earthquake damage state recovery process of shield tunnels, a method for establishing performance recovery models based on semi-Markov processes is proposed, enabling quantitative assessment ...
ZENG Nianchen 1, HUANG Zhongkai 1, ZHANG Dongmei 1, 2, 3, GAN Binlin 1, 2
doaj   +1 more source

Applied semi-Markov process

, 2005
Applied Semi-Markov Processes aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems. The book is self-contained and, starting from a low level of probability concepts, gradually brings the reader to a deep ...
Manca, Raimondo, Janssen, Jacques, JANSSEN J.   +2 more
core   +1 more source

Nonlinear Spatial–Temporal Modeling of Land-Use Change Using a Hybrid ANN–Cellular Automata Framework in a Semi-Arid Mediterranean Watershed

Geomatics
Land-use and land cover (LULC) change is a key driver of environmental dynamics in semi-arid Mediterranean watersheds, strongly influencing hydrological processes, soil degradation, and ecosystem stability.
Abdelillah Otmane Cherif, Malika Abbes, Rim Missaoui, Anouar Hachmaoui, Habib Mahi, Nour El Houda Fethellah, Nabil Beloufa, Matteo Gentilucci, Domenico Aringoli, Gilberto Pambianchi, Younes Hamed   +10 more
doaj   +1 more source

Quality Performance Criterion Model for Distributed Automated Control Systems Based on Markov Processes for Smart Grid

Applied Sciences
This paper addresses the problem of decision-making support for the modernization of distributed automated control systems (ACS) in power engineering by proposing an integral quality criterion that combines similarity-driven Markov process modeling with ...
Waldemar Wojcik, Ainur Ormanbekova, Muratkali Jamanbayev, Maria Yukhymchuk, Vladyslav Lesko   +4 more
doaj   +1 more source

Nonlinear Markov semigroups and interacting Lévy type processes [PDF]

, 2007
Semigroups of positivity preserving linear operators on measures of a measurable space X describe the evolutions of probability distributions of Markov processes on X.
Kolokoltsov, V. N. (Vasiliĭ Nikitich)
core   +1 more source

Modelling the profitability of credit cards by Markov decision processes

, 2009
This paper derives a model for the profitability of credit cards, which allow lenders to find the optimal dynamic credit limit policy. The model is a Markov decision process, where the states of the system are based on the borrower's behavioural score ...
Thomas, Lyn C., So, Mee Chi
core   +1 more source

Stochastic-based pavement performance and deterioration models: A review of techniques and applications

Alexandria Engineering Journal
Infrastructure assets, such as pavements, naturally deteriorate over time due to traffic loads, environmental conditions, and other external factors. Traditionally, deterministic models have been employed to predict performance, aiding in work planning ...
Che Shobry Shahid, Zulhilmi Amir Zainal, Nur Izzi Md Yusoff, Noraziah Mohammad, Zamira Hasanah Zamzuri, Iswandaru Widyatmoko   +5 more
doaj   +1 more source

A Systematic Review of Cyber Risk Analysis Approaches for Wind Power Plants

Energies
Wind power plants (WPPs), as large-scale cyber–physical systems (CPSs), have become essential to renewable energy generation but are increasingly exposed to cyber threats.
Muhammad Arsal, Tamer Kamel, Hafizul Asad, Asiya Khan   +3 more
doaj   +1 more source

Bounded parameter Markov decision processes with average reward criterion

, 2007
. Bounded parameter Markov Decision Processes (BMDPs) address the issue of dealing with uncertainty in the parameters of a Markov Decision Process (MDP).
Tewari, Ambuj, Ambuj Tewari, Bartlett, Peter L., Peter L. Bartlett   +3 more
core   +1 more source

SEMI-MARKOV DECISION PROCESSES AND THEIR APPLICATIONS IN REPLACEMENT MODELS

Journal of the Operations Research Society of Japan, 1985
We consider the problem of minimizing the long-run average expected cost per unit time in a semi-Markov decision process with arbitrary state and action space. Using the idea of successive approximations, sufficient conditions for the existence of an optimal stationary policy are given.
openaire   +3 more sources