Results 11 to 20 of about 1,012,468 (372)
Local Texture Estimator for Implicit Representation Function [PDF]
Computer Vision and Pattern Recognition, 2021 Recent works with an implicit neural function shed light on representing images in arbitrary resolution. However, a standalone multi-layer perceptron shows limited performance in learning high-frequency components.
Jaewon Lee, Kyong Hwan Jin
semanticscholar +1 more source
Energies, 2021 Particulate matter (soot) emissions from combustion processes have damaging health and environmental effects. Numerical techniques with varying levels of accuracy and computational time have been developed to model soot formation in flames. High-fidelity
Mehdi Jadidi +2 more
doaj +1 more source
VINS-Mono: A Robust and Versatile Monocular Visual-Inertial State Estimator [PDF]
IEEE Transactions on robotics, 2017 One camera and one low-cost inertial measurement unit (IMU) form a monocular visual-inertial system (VINS), which is the minimum sensor suite (in size, weight, and power) for the metric six degrees-of-freedom (DOF) state estimation.
Tong Qin, Peiliang Li, S. Shen
semanticscholar +1 more source
Elektronika ir Elektrotechnika, 2022 In this paper, a novel adaptive control method is presented, aimed at robustifying the terminal voltage of the photovoltaic generator, interfaced by the current-mode-controlled buck DC-DC converter load, and based on conductance estimation.
Yakov Malinkovich +2 more
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A Class of Estimators for Estimating the Variance of the Ratio Estimator [PDF]
JOURNAL OF THE JAPAN STATISTICAL SOCIETY, 2004 Summary: We have proposed a class of estimators for the variance of the ratio estimator which includes two standard estimators \(V_0\), \(V_2\) and the estimators \(V_H\) and \(V_3\) suggested by \textit{R. M. Royall} and \textit{K. R. Eberhardt} [Sankya, Ser. C 37, 43--52 (1975; Zbl 0335.62007)] and \textit{C. F.
Lakshmi N. Upadhyaya +2 more
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Minimax boundary estimation and estimation with boundary
Bernoulli, 2023 We derive non-asymptotic minimax bounds for the Hausdorff estimation of $d$-dimensional submanifolds $M \subset \mathbb{R}^D$ with (possibly) non-empty boundary $\partial M$. The model reunites and extends the most prevalent $\mathcal{C}^2$-type set estimation models: manifolds without boundary, and full-dimensional domains.
Aamari, Eddie +2 more
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Multiobjective Tree-Structured Parzen Estimator
Journal of Artificial Intelligence Research, 2022 Practitioners often encounter challenging real-world problems that involve a simultaneous optimization of multiple objectives in a complex search space. To address these problems, we propose a practical multiobjective Bayesian optimization algorithm.
Yoshihiko Ozaki +4 more
semanticscholar +1 more source
Maximum Power Point Tracking of PV System Based on Machine Learning
Energies, 2020 This project studies the conditions at which the maximum power point of a photovoltaic (PV) panel is obtained. It shows that the maximum power point is very sensitive to external disturbances such as temperature and irradiation.
Maen Takruri +7 more
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IEEE Access, 2023 This paper investigates the stabilization problem of linear time-invariant (LTI) systems with unbounded disturbances. Firstly, three suitable filters are designed to asymptotically estimate the corresponding external disturbances: ${w}(t)= {p}\cos (3t) +
Xiaolong Wang, Keran Sun, Rongwei Guo
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Application of unscented Kalman filter for clutch position control of automated manual transmission [PDF]
Archive of Mechanical Engineering, 2022 In this paper, an adaptive sliding mode controller (ASMC) is proposed for an electromechanical clutch position control system to apply in the automated manual transmission. Transmission systems undergo changes in parameters with respect to the wide range
Abbas Soltani +2 more
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