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303 results for “mixture”
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Research ArticleOpen accessEvery word in the titleMultivariate Option Pricing with Gaussian Mixture Distributions and Mixed CopulasJimbo Henri Claver, Tatanfack Emerson, Shu FelixRecently, it has been reported that the hypothesis proposed by the classical black scholes model to price multivariate options in finance were unrealistic, as such, several other methods have been introduced over the last decades including the copulas methods which uses copulas functions to model the dependence structure of underlying assets. However, the previous work did not take into account … …Journal of Mathematics and Statistics, Vol. 19, Issue 1 · 3 Apr 2023 · 6,511 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Ensemble of Gaussian Mixture Model and Support Vector Machines for Network Intrusion DetectionOlujimi Daniel Alao, Sheriff Alimi, Shade Oluwakemi Kuyoro et al.NetworkIntrusion Detection Systems (NIDS) can protect computer networks and computersystems by detecting abnormal network packets and taking agreed action plans,such as notifying an administrator or rejecting the network packets. In this study,the aim is the implementation of NIDS with improved performance using anensemble of Support Vector Machines (SVMs) and the Gaussian Mixture Model(GMM). Four SVMs with Radial Basis Function (RBF), … …Journal of Computer Science, Vol. 18, Issue 9 · 21 Sep 2022 · 6,114 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBlood Biochemical Profiles and Pregnancy Rate of Brahman Crossbred Cows Supplemented with Mineral MixtureMohammad Sofi’ul Anam, Ali Agus, Lies Mira Yusiati et al.The investigation was expected to assess various mineral mixture supplementation impacts on Brahman crossbred cows' blood biochemical, hematological profiles and pregnancy rate. This study used ninety Brahman crossbred cows divided into three dietary treatment groups (n = 30/group). The dietary treatments were: Concentrate and rice straw only as control treatment; control diet + mineral mixture A-formulation as MM-A treatment; and … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 3 · 15 Sep 2021 · 6,768 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Simulation Study of Enhanced Distillation Using Ultrasound Waves for the Separation of Azeotropic MixturesTaha Mahdi, Ammar Emad Al-KawazThe potential of ultrasound waves to enhance distillation system for azeotropic mixture is examined through process flowsheeting using Aspen Plus. Since sonication is not a standard feature in the software library, a mathematical model of the proposed distillation system is developed based on first principles in Aspen Custom Modeler and later exported to Aspen Plus environment for process simulation and … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 2 Jan 2018 · 8,411 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMultiple Vehicle Tracking using Adaptive Gaussian Mixture Model and Kalman FilterFandy Setyo UtomoBased on data from the Central Statistics Agency (BPS) of the Republic of Indonesia in catalog Crime Statistics in 2014, the number of crimes of theft of motor vehicles has increased since 2010 until 2013. Recorded in 2013 the number reached 42.508 cases of theft. In this study, we made a prototype application using Adaptive Gaussian Mixture Models algorithms and … …American Journal of Applied Sciences, Vol. 13, Issue 12 · 22 Dec 2016 · 7,375 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFractal Dimension for the Characterization of Asphalt Mixture PropertiesGiovanni LeonardiIn the design of asphalt mixtures for paved roads, the shape of solid elements has a great importance. In asphalt concrete, the shape of aggregate particles influences the resistance, durability, stiffness, fatigue response and the required binder content of the mixture. Fractal geometry is more suitable to describe the irregularity of the shape of aggregate particles. This paper describes the … …American Journal of Applied Sciences, Vol. 13, Issue 7 · 13 Jul 2016 · 7,181 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Algorithm for Determining the Number of Mixture Components on the Bayesian Mixture Model Averaging for Microarray DataAni Budi Astuti, Nur Iriawan, Irhamah, Heri KuswantoThe major challenges on the statistical analysis of microarray data are the limited availability of samples, large number of measured variables and the complexity of distribution of the data obtained (e.g., multimodal). These phenomena could be considered in Bayesian method, used Bayesian Mixture Model (BMM) methods and Bayesian Model Averaging (BMA) methods. Modeling of Bayesian Mixture Model Averaging (BMMA) for … …Journal of Mathematics and Statistics, Vol. 11, Issue 2 · 28 Sep 2015 · 7,136 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDevelopment and Optimization of Plant Extract Loaded Nanoemulsion Mixtures for the Treatment of Inflammatory DisorderMukesh Gohel, Tejal Soni, Lal Hingorani et al.In current study, a nanoemulsion as drug delivery system (NE) of spray dried Boswellia Serrata Extract (BSE) was developed and characterized to compare it in vitro/Ex vivo diffusion with reference formulation. Pseudo-ternary phase diagrams were constructed by phase diagram by aqueous titration method, of which the evaluation method was improved for solubility, Droplet size and transmittance. The formulation of BSE-loaded … …Current Research in Drug Discovery, Vol. 1, Issue 2 · 26 Jan 2015 · 14,064 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePARALLEL IMPLEMENTATION OF EXPECTATION-MAXIMISATION ALGORITHM FOR THE TRAINING OF GAUSSIAN MIXTURE MODELSG. F. Araújo, H. T. Macedo, M. T. Chella et al.Most machine learning algorithms need to handle large data sets. This feature often leads to limitations on processing time and memory. The Expectation-Maximization (EM) is one of such algorithms, which is used to train one of the most commonly used parametric statistical models, the Gaussian Mixture Models (GMM). All steps of the algorithm are potentially parallelizable once they iterate over … …Journal of Computer Science, Vol. 10, Issue 10 · 9 Jul 2014 · 6,937 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleGAUSSIAN MIXTURE MODEL BASED CLASSIFICATION OF MICROCALCIFICATION IN MAMMOGRAMS USING DYADIC WAVELET TRANSFORMSuman Mishra, Hariharan RanganathanBreast cancer is a serious health related issue for women in the world. Cancer detected at premature stages has a higher probability of being cured, whereas at advanced stages chances of survival are bleak. Screening programs aid in detecting potential breast cancer at early stages of the disease. Among the various screening programs, mammography is the proven standard for screening … …Journal of Computer Science, Vol. 9, Issue 10 · 5 Sep 2013 · 6,867 accessesView PDFCite