Results 71 to 80 of about 876,280 (281)

Stochastic inequalities and applications to dynamics analysis of a novel SIVS epidemic model with jumps

open access: yesJournal of Inequalities and Applications, 2017
This paper proposes a new nonlinear stochastic SIVS epidemic model with double epidemic hypothesis and Lévy jumps. The main purpose of this paper is to investigate the threshold dynamics of the stochastic SIVS epidemic model.
Xiaona Leng, Tao Feng, Xinzhu Meng
doaj   +1 more source

"Block Sampler and Posterior Mode Estimation for Asymmetric Stochastic Volatility Models" [PDF]

open access: yes
This article introduces a new efficient simulation smoother and disturbance smoother for asymmetric stochastic volatility models where there exists a correlation between today's return and tomorrow's volatility.
Toshiaki Watanabe, Yasuhiro Omori
core  

“Smelltronics”—From Gas to Smell Sensing

open access: yesAdvanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono   +7 more
wiley   +1 more source

Filtering-Based Fault Detection for Stochastic Markovian Jump System with Distributed Time-Varying Delays and Mixed Modes

open access: yesJournal of Applied Mathematics, 2012
The problem of fault detection for stochastic Markovian jump system is considered. The system under consideration involves discrete and distributed time-varying delays, Itô-type stochastic disturbance, and different system and delay modes.
Yucai Ding   +4 more
doaj   +1 more source

Block Sampler and Posterior Mode Estimation for Asymmetric Stochastic Volatility Models (Published in "Computational Statistics and Data Analysis", 52-6, 2892-2910. February 2008. ) [PDF]

open access: yes
This article introduces a new efficient simulation smoother and disturbance smoother for asymmetric stochastic volatility models where there exists a correlation between today`s return and tomorrow`s volatility.
Toshiaki Watanabe, Yasuhiro Omori
core  

H ? filtering for stochastic singular fuzzy systems with time-varying delay [PDF]

open access: yes, 2014
This paper considers the H? filtering problem for stochastic singular fuzzy systems with timevarying delay. We assume that the state and measurement are corrupted by stochastic uncertain exogenous disturbance and that the system dynamic is modeled ...
Cai, Min   +3 more
core   +1 more source

Noise‐Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency‐Selective Time‐Series Signal Encoding

open access: yesAdvanced Materials, EarlyView.
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim   +8 more
wiley   +1 more source

Dynamical Analysis of a Stochastic Multispecies Turbidostat Model

open access: yesComplexity, 2019
A stochastic turbidostat system in which the dilution rate is subject to white noise is investigated in this paper. First of all, sufficient conditions of the competitive exclusion among microorganisms are obtained by employing the techniques of ...
Yu Mu   +3 more
doaj   +1 more source

Flax Composites With Improved Interfacial Strength Through Microbially Induced Mineral Precipitation

open access: yesAdvanced Materials, EarlyView.
A bio‐inspired biomineralization strategy introduces an additional hierarchy to flax fiber composites. By controlling microbe‐mediated mineral particle deposition through tuned salt concentrations, stress transfer within the natural fiber composite is enhanced.
Deniz Sayinbas   +5 more
wiley   +1 more source

Variable-State-Dimension Kalman-Based Filter for Orientation Determination Using Inertial and Magnetic Sensors

open access: yesSensors, 2012
In this paper a quaternion-based Variable-State-Dimension Extended Kalman Filter (VSD-EKF) is developed for estimating the three-dimensional orientation of a rigid body using the measurements from an Inertial Measurement Unit (IMU) integrated with a ...
Angelo Maria Sabatini
doaj   +1 more source

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