Results 261 to 270 of about 21,260,567 (325)

Stochastic control of influenza spread: A Lévy-driven SDE and branching process approach. [PDF]

Infect Dis Model
Mohammad KM, Khan T, Kamrujjaman M.
europepmc   +1 more source

Signal-to-noise ratio enhancement for MEMS resonant sensors with potential barrier adjustable stochastic resonance. [PDF]

Microsyst Nanoeng
Wu J, Zhou G.
europepmc   +1 more source

Urgent samples in clinical laboratories: stochastic batching to minimize patient turnaround time. [PDF]

Health Care Manag Sci
Novak A, Gnatowski A, Sucha P.
europepmc   +1 more source

Dynamic properties of an SARS-CoV-2 epidemic model via stochastic PINNs. [PDF]

Infect Dis Model
Xie L, Yang J, Li Z.
europepmc   +1 more source

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A New Method Based on Stochastic Process Models for Machine Remaining Useful Life Prediction

IEEE Transactions on Instrumentation and Measurement, 2016
Yaguo Lei, Naipeng Li
exaly   +2 more sources

Adaptive Event-Triggered SMC for Stochastic Switching Systems With Semi-Markov Process and Application to Boost Converter Circuit Model

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

Slime mould algorithm: A new method for stochastic optimization

Future generations computer systems, 2020
In 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, Huiling Chen, Mingjing Wang, Ali Asghar Heidari, S. Mirjalili   +4 more
semanticscholar   +1 more source

Detection of stochastic processes

IEEE Transactions on Information Theory, 1998
Summary: 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

Tunneling as a Stochastic Process

Foundations of Physics, 1998
An alternative model for tunneling processes, based on the capability of the telegrapher’s equation to describe stochastic processes, is able to account for delay time results of an optical experiment at the microwave scale, where superluminal behaviors have been evidenced.
A. Ranfagni, R. Ruggeri, A. Agresti
openaire   +1 more source