Results 11 to 20 of about 2,339,630 (246)
Computer-aided breast cancer diagnosis based on image segmentation and interval analysis
Automatika, 2020 Uncertainties are one principal part of any practical problem. Like any application, image processing process has different unknown parts as uncertainties which are derived from different reasons like initial digitalization, sampling to noise, special ...
Qing Liu +4 more
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Observability of Uncertain Nonlinear Systems Using Interval Analysis
Algorithms, 2020 In the field of control engineering, observability of uncertain nonlinear systems is often neglected and not examined. This is due to the complex analytical calculations required for the verification.
Thomas Paradowski +4 more
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Practical Applications of a Set-Based Camera Deployment Methodology
Sensors, 2023 This work establishes a complete methodology for solving continuous sets of camera deployment solutions for automated machine vision inspection systems in industrial manufacturing facilities.
Edward Parrott +2 more
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A robust method for skin cancer diagnosis based on interval analysis
Automatika, 2021 Early diagnosis of skin cancer from dermoscopy images significantly reduces the mortality due to this cancer. However, several reasons impact the system diagnosis precision.
Haohai Zhang +3 more
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Journal of Modern Power Systems and Clean Energy, 2023 This letter develops a fast analytical method for uncertainty quantification of electromechanical oscillation frequency due to varying generator dampings.
Yongli Zhu, Chanan Singh
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Experimental Validation of a Guaranteed Nonlinear Model Predictive Control
Algorithms, 2021 This paper combines the interval analysis tools with the nonlinear model predictive control (NMPC). The NMPC strategy is formulated based on an uncertain dynamic model expressed as nonlinear ordinary differential equations (ODEs).
Mohamed Fnadi +1 more
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Interval Extended Kalman Filter—Application to Underwater Localization and Control
Algorithms, 2021 The extended Kalman filter has been shown to be a precise method for nonlinear state estimation and is the facto standard in navigation systems. However, if the initial estimated state is far from the true one, the filter may diverge, mainly due to an ...
Morgan Louédec, Luc Jaulin
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Soft Measurement and Calculations in Evolutionary Control of Continuous Multistage
Informaciâ i Innovacii, 2020 A mechanism for efficient management of the evolution of multi-stage production based on the use of soft measurements and calculations is considered. To reduce the sensitivity to noise interference and delays along dynamic channels between the input and ...
В. V. Palyukh +2 more
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Design and Application of an Interval Estimator for Nonlinear Discrete-Time SEIR Epidemic Models
Fractal and Fractional, 2022 This paper designs an interval estimator for a fourth-order nonlinear susceptible-exposed-infected-recovered (SEIR) model with disturbances using noisy counts of susceptible people provided by Public Health Services (PHS).
Awais Khan +6 more
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IEEE Access, 2019 In this paper, a novel numerical scheme to set-membership interval state estimator design is proposed for the multiple-input-multiple-output (MIMO) linear time-varying (LTV) discrete-time systems using systems observability matrix and its past input ...
Awais Khan, Wei Xie
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