Results 31 to 40 of about 1,012,468 (372)
Multiobjective tree-structured parzen estimator for computationally expensive optimization problems
Annual Conference on Genetic and Evolutionary Computation, 2020 Practitioners often encounter computationally expensive multiobjective optimization problems to be solved in a variety of real-world applications. On the purpose of challenging these problems, we propose a new surrogate-based multiobjective optimization ...
Yoshihiko Ozaki +3 more
semanticscholar +1 more source
Learning the MMSE Channel Estimator [PDF]
IEEE Transactions on Signal Processing, 2017 We present a method for estimating conditionally Gaussian random vectors with random covariance matrices, which uses techniques from the field of machine learning.
David Neumann, Thomas Wiese, W. Utschick
semanticscholar +1 more source
Development and testing of a soot particle concentration estimator using Lagrangian post-processing
Engineering Applications of Computational Fluid Mechanics, 2018 Soot emissions from combustion devices are known to have harmful effects on the environment and human health. As the transportation industry continues to expand, the development of techniques to reduce soot emissions remains a significant goal of ...
Raymond Alexander +3 more
doaj +1 more source
Linearized Discrete Charge Balance Control with Simplified Algorithm for DCM Buck Converter
Energies, 2019 In this paper, a linearized discrete charge balance (LDCB) control strategy is proposed for buck converter operating in discontinuous conduction mode (DCM).
Run Min +4 more
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Stabilization of the GLV System with Asymptotically Unbounded External Disturbances
Mathematics, 2023 This paper investigates the stabilization of the generalized Lotka–Volterra (GLV) biological model, which is affected by the asymptotically unbounded external disturbances, and presents some new results.
Zhi Liu, Rongwei Guo
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The Triple Difference Estimator
Social Science Research Network, 2020 Triple difference has become a widely used estimator in empirical work. A close reading of articles in top economics journals reveals that the use of the estimator to a large extent rests on intuition.
A. Olden, Jarle Møen
semanticscholar +1 more source
Robust Estimators for the Correlation Measure to Resist Outliers in Data
Journal of Mathematical and Fundamental Sciences, 2016 The objective of this research was to propose a composite correlation coefficient to estimate the rank correlation coefficient of two variables. A simulation study was conducted using 228 situations for a bivariate normal distribution to compare the ...
Juthaphorn Sinsomboonthong
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Sensors, 2020 This article presents a novel concept of the position estimator algorithm for voice coil actuators used in precision scanning applications. Here, a voice coil motor was used as an actuator and a sensor using the position estimator algorithm, which was ...
Mahesh Shewale +3 more
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Empirical likelihood estimation of the spatial quantile regression [PDF]
, 2012 The spatial quantile regression model is a useful and flexible model for analysis of empirical problems with spatial dimension. This paper introduces an alternative estimator for this model.
A Owen +32 more
core +1 more source
An Artificial Neural Network for the Low-Cost Prediction of Soot Emissions
Energies, 2020 Soot formation in combustion systems is a growing concern due to its adverse environmental and health effects. It is considered to be a tremendously complicated phenomenon which includes multiphase flow, thermodynamics, heat transfer, chemical kinetics ...
Mehdi Jadidi +3 more
doaj +1 more source