Results 131 to 140 of about 15,837 (289)

Applications of survival functions to continuous semi-Markov processes for measuring reliability of power transformers

, 2017
Yifei Wang, Mohammad Shahidehpour, Chuangxin Guo   +2 more
openalex   +1 more source

A new analytical method to optimise the preventive maintenance interval by using a semi-Markov process and z-transform with an application to marine diesel engines

, 2020
Antonio Sánchez-Herguedas, Ángel Isidro Mena Nieto, Francisco Rodrigo-Muñoz   +2 more
openalex   +2 more sources

A Comprehensive Method for Solving Finite-State Semi-Markov Processes [PDF]

, 2012
Richard L. Warr, David Collins
openalex   +1 more source

Temporal Evolution of Contaminant Mass Discharge: Effect of Source Remediation at Contaminated Sites

Groundwater Monitoring &Remediation, EarlyView.
Abstract Contaminant mass discharge (CMD) is a key metric for evaluating remediation performance at contaminated sites posing a risk to groundwater. This study assesses temporal CMD trends and associated uncertainties using a geostatistical approach at a chlorinated solvent contaminated site following source zone remediation, supported by two decades ...
Anton Bøllingtoft, Mads Troldborg, Charlotte Riis, Nina Tuxen, Poul L. Bjerg   +4 more
wiley   +1 more source

Linking eBird data with high spatiotemporal remote sensing products to estimate occupancy of bird populations across the island of Ireland

Ibis, EarlyView.
The vast increase in biodiversity data generated through citizen science initiatives, alongside a growing suite of remote sensing products and advanced modelling tools, has opened new avenues for rapidly, accurately and efficiently monitoring species trends to inform conservation, management and policy.
Ramiro D. Crego, Solène Gobet, John Kennedy, Brian Burke, Andrew Lynch, Dick Coombes, Sinéad Cummins, Lesley Lewis   +7 more
wiley   +1 more source

Assessing treatment efficacy for interval-censored endpoints using multistate semi-Markov models fit to multiple data streams. [PDF]

Biostatistics
Morsomme R, Liang CJ, Mateja A, Follmann DA, O'Brien MP, Wang C, Fintzi J.   +6 more
europepmc   +1 more source

Medical Knowledge Integration Into Reinforcement Learning Algorithms for Dynamic Treatment Regimes

International Statistical Review, EarlyView.
Summary The goal of precision medicine is to provide individualised treatment at each stage of chronic diseases, a concept formalised by dynamic treatment regimes (DTR). These regimes adapt treatment strategies based on decision rules learned from clinical data to enhance therapeutic effectiveness.
Sophia Yazzourh, Nicolas Savy, Philippe Saint‐Pierre, Michael R. Kosorok   +3 more
wiley   +1 more source

Generalized Markov programming with a finite state semi Markov process as natural process (extended abstract) : (prepublication) [PDF]

, 1974
P.J. Weeda
openalex  

Prognosis of Cancer - A Semi Markov Process

, 2021
Manjula S. Dalabanjan, Pratibha Agrawal, T Deepthi, M. D. Suranagi   +3 more
openalex   +1 more source

A Non‐Parametric Framework for Correlation Functions on Product Metric Spaces

International Statistical Review, EarlyView.
Summary We propose a non‐parametric framework for analysing data defined over products of metric spaces, a versatile class encountered in various fields. This framework accommodates non‐stationarity and seasonality and is applicable to both local and global domains, such as the Earth's surface, as well as domains evolving over linear time or time ...
Pier Giovanni Bissiri, Bernardo Nipoti, Emilio Porcu, Philip White   +3 more
wiley   +1 more source