Results 71 to 80 of about 688,609 (284)
Maximum Likelihood Estimation for an SAG Mill Model Utilizing Physical Available Measurements
IEEE AccessIn this paper, we have proposed a new paradigm for modeling of SAG mills. Typically, important parameters found in the modeling of such processes are described as state-space system model rather than unknown parameters.
Angel L. Cedeno +6 more
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Gaussian Mixture Model Based Classification of Stuttering Dysfluencies
Journal of Intelligent Systems, 2016 The classification of dysfluencies is one of the important steps in objective measurement of stuttering disorder. In this work, the focus is on investigating the applicability of automatic speaker recognition (ASR) method for stuttering dysfluency ...
Mahesha P., Vinod D.S.
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A Gradient Algorithm Locally Equivalent to the Em Algorithm [PDF]
Journal of the Royal Statistical Society Series B: Statistical Methodology, 1995 SUMMARY In many problems of maximum likelihood estimation, it is impossible to carry out either the E-step or the M-step of the EM algorithm. The present paper introduces a gradient algorithm that is closely related to the EM algorithm.
openaire +3 more sources
Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems
Advanced Functional Materials, EarlyView.MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley +1 more source
پژوهشهای ریاضی, 2018 Estimation of statistical distribution parameter is one of the important subject of statistical inference. Due to the applications of Lomax distribution in business, economy, statistical science, queue theory, internet traffic modeling and so on, in this
Roshanak Zaman, Parviz Nasiri
doaj
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
پژوهشهای ریاضی, 2019 Introduction Selection the appropriate statistical model for the response variable is one of the most important problem in the finite mixture of generalized linear models.
Farzad Eskandari
doaj
Spectrum adapted expectation-maximization algorithm for high-throughput peak shift analysis
Science and Technology of Advanced Materials, 2019 We introduce a spectrum-adapted expectation-maximization (EM) algorithm for high-throughput analysis of a large number of spectral datasets by considering the weight of the intensity corresponding to the measurement energy steps.
Tarojiro Matsumura +4 more
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Advanced Functional Materials, EarlyView.Controlling the exposed crystal facet of shape‐controlled Au‐Pd core‐shell catalysts though colloidal synthesis enhances their catalytic performance in the industrially relevant selective hydrogenation of butadiene. ABSTRACT Selective hydrogenation of butadiene is a critical step in purification of alkene feedstocks for polymer production and is ...
Marta Perxés Perich +3 more
wiley +1 more source
Engineering of Glioblastoma‐Derived Biomimetic Vesicles and Their Structural and Molecular Features
Advanced Healthcare Materials, EarlyView.ABSTRACT Biomimetic nanosystems and vesicles have arisen as a novel approach to design vesicular transport systems with diverse therapeutic potential. The ‘biomimetic’ strategy involves the integration of cell membrane components into lipid bilayers, conferring them with biological properties originating from the cell of origin. Until now, most studies
Noelia Hernández‐Lobato +6 more
wiley +1 more source