Results 241 to 250 of about 20,470,336 (306)
Coupled SDE-ODE Modeling of Tumor-Immune Dynamics to Infer Biomarker Release. [PDF]
Bull Math BiolShrestha P, Fan Y, George JT.
europepmc +1 more source
Beyond diagonal noise: A better predator-prey modeling framework with cross-covariance. [PDF]
PLoS OneYu J, Wang LS.
europepmc +1 more source
Stochastic process mining: Earth movers’ stochastic conformance
Information Systems, 2021 Initially, process mining focused on discovering process models from event data, but in recent years the use and importance of conformance checking has increased.
Sander J J Leemans +2 more
exaly +2 more sources
A Review of Stochastic Programming Methods for Optimization of Process Systems Under Uncertainty
Frontiers in Chemical Engineering, 2021 Uncertainties are widespread in the optimization of process systems, such as uncertainties in process technologies, prices, and customer demands. In this paper, we review the basic concepts and recent advances of a risk-neutral mathematical framework ...
Ignacio E Grossmann, Grossmann Ignacio E
exaly +2 more sources
Some of the next articles are maybe not open access.
IEEE Transactions on Circuits and Systems Part 1: Regular Papers, 2021
In this article, the sliding mode control (SMC) design is studied for a class of stochastic switching systems subject to semi-Markov process via an adaptive event-triggered mechanism.
Wenhai Qi, Guangdeng Zong, W. Zheng
semanticscholar +1 more source
In this article, the sliding mode control (SMC) design is studied for a class of stochastic switching systems subject to semi-Markov process via an adaptive event-triggered mechanism.
Wenhai Qi, Guangdeng Zong, W. Zheng
semanticscholar +1 more source
Slime mould algorithm: A new method for stochastic optimization
Future generations computer systems, 2020In this paper, a new stochastic optimizer, which is called slime mould algorithm (SMA), is proposed based on the oscillation mode of slime mould in nature.
Shimin Li +4 more
semanticscholar +1 more source
A New Method Based on Stochastic Process Models for Machine Remaining Useful Life Prediction
IEEE Transactions on Instrumentation and Measurement, 2016Yaguo Lei, Naipeng Li
exaly +2 more sources
Detection of stochastic processes
IEEE Transactions on Information Theory, 1998Summary: This paper reviews two streams of development, from the 1940's to the present, in signal detection theory: the structure of the likelihood ratio for detecting signals in noise and the role of dynamic optimization in detection problems involving either very large signal sets or the joint optimization of observation time and performance.
Thomas Kailath, H. Vincent Poor
openaire +2 more sources