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67 articles for “Mixture model”

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Research ArticleOpen accessIn the abstractEnzymatic Kinetics of Fatty Acids Methyl Ester from Kapok Seed Oil (Ceiba Petandra) Using Lipozyme TL IMErin Ryantin Gunawan, Dedy Suhendra, Baiq Rizkia Miftahatul HasanahSynthesis of Fatty Acids Methyl Ester (FAME) utilizing oil extracted from kapok seeds (Ceiba petandra) and catalyzed by lipozyme TL. 1M via enzymatic kinetics transesterification was succesfully conducted A mixture of different FAME, widely known as biodiesel is one of the sources of renewable energy. A kinetic analysis was investigated to identify the reaction model and the rate equation and … …American Journal of Applied Sciences, Vol. 14, Issue 12 · 2 Jan 2018 · 9,310 accessesView PDFCite
EditorialOpen accessIn the abstractIs Rerum® the New Coley's Vaccine?Marco RuggieroColey's Vaccine and Cancer Immunotherapy Dr. William B. Coley is credited for having been the first to translate the observation of an association between bacterial infections, high fever and cancer remission into a successful cancer treatment. However, it is worth noting that such an association dates back to at least one century before Coley's times; as Wiemann and Starnes from … …American Journal of Immunology, Vol. 13, Issue 2 · 31 May 2017 · 12,281 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Transfer Learning for Mask DetectionZahin Akram, Arifuzzaman Arman, Mohammad Rakib Imtiaz, Syed Athar Bin AmirThe use of masks has become crucial in combating the Coronavirus pandemic. Unfortunately, the regulation of wearing a mask is not being upheld by many citizens which is contributing to the spread of the disease. To aid the efforts of regulations and to maintain safety in public areas, both large like parks or small like public transport, Artificial Intelligent systems … …Journal of Computer Science, Vol. 18, Issue 2 · 3 Mar 2022 · 6,931 accessesView PDFCite
Research ArticleOpen accessIn the abstractObject Detection and Classification from Thermal Images Using Region based Convolutional Neural NetworkUsha Mittal, Sonal Srivastava, Priyanka ChawlaIn recent years, object detection and classification has gained so much popularity in different application areas like face detection, self- driving cars, pedestrian detection, security surveillance systems etc. The traditional detection methods like background subtraction, Gaussian Mixture Model (GMM), Support Vector Machine (SVM) have certain drawbacks like overlapping of objects, distortion due to smoke, fog, lightening conditions etc. In this … …Journal of Computer Science, Vol. 15, Issue 7 · 18 Jul 2019 · 9,448 accessesView PDFCite
Research ArticleOpen accessIn the abstractA FRAMEWORK FOR MULTILINGUAL TEXT- INDEPENDENT SPEAKER IDENTIFICATION SYSTEMSundaradhas Selva Nidhyananthan, Ramapackiam Shantha Selva KumariThis article evaluates the performance of Extreme Learning Machine (ELM) and Gaussian Mixture Model (GMM) in the context of text independent Multi lingual speaker identification for recorded and synthesized speeches. The type and number of filters in the filter bank, number of samples in each frame of the speech signal and fusion of model scores play a vital role in … …Journal of Computer Science, Vol. 10, Issue 1 · 13 Nov 2013 · 7,274 accessesView PDFCite
Research ArticleOpen accessIn the abstractLow Pass Filter Model for Chemical Sensors in Response to Gases and OdorsMahmoud Z. IskandaraniDesign and Modeling multi-gap sensing odor system for the objectives of odor recognition, classification and correlation are carried out. The model illustrates the low pass functionality of the multi-gap sensor acting as a filter for odors. Problem statement: Odor filtering is an important issue in today's world. In addition knowing the original material that an odor belongs to even after … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 17 Feb 2012 · 6,809 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Improved Object Detection Technique for Hazard Avoidance SystemsSupreet Kaur Deol, P.W.C. Prasad, Abeer Alsadoon, A. ElchouemiHazard detection and avoidance at construction sites working with heavy equipment and moving vehicles is one of the biggest issues in modern surveillance. Background subtraction using a Gaussian Mixture Model (GMM) is widely utilized for identification of moving objects with most existing methods leading to improvements but lacking accuracy of object detection. This paper aims to improve accuracy and processing … …American Journal of Applied Sciences, Vol. 15, Issue 7 · 27 Sep 2018 · 8,195 accessesView PDFCite
Research ArticleOpen accessIn the abstractBurn Wound Healing Effect and Hair Growth Promoting Activity of Lawsonia inermis L. and Honey in Oryctolagus cuniculus RabbitsZouhir Djerrou, Imane Mokhbi, Khadidja Saci Hadef et al.This study aimed to assess Lawsonia inermis L. and honey mixture effects on burn wounds and hair growth in rabbits. Nine male Oryctolagus cuniculus local rabbits were allocated randomly in 3 groups. After antisepsis and local anesthesia, four circular burns were created on the animal’s backs. Immediately after burning, the wounds were covered with honey in three rabbits (HON group), … …OnLine Journal of Biological Sciences, Vol. 16, Issue 2 · 23 Apr 2016 · 7,812 accessesView PDFCite
Research ArticleOpen accessIn the abstractEXPOSURE TO SWINE HOUSING DUST MODULATES MACROPHAGE MORPHOLOGY AND FUNCTIONRuth J. Pender, Radiah C. Minor, Steven L. Hurley et al.Swine Confinement Facility (SCF) dust consists of a complex mixture of feed grain particles, bacterial components, organic particulates and gases. When these particles are inhaled they deposit along the respiratory tract and mediate respiratory symptoms and disease in swine farmers and facility workers. Macrophages ingest and eliminate microbes and debris under chronic conditions; however, the role of macrophages in agricultural-related … …American Journal of Immunology, Vol. 10, Issue 1 · 25 Mar 2014 · 7,606 accessesView PDFCite
Research ArticleOpen accessIn the abstractCHILD VIDEO DATASET TOOL TO DEVELOP OBJECT TRACKING SIMULATES BABYSITTER VISION ROBOTHanan Aljuaid, Dzulkifli MohamadThis study presents a Child Video Dataset (CVDS) that has numerous videos of different ages and situation of children. To simulate a babysitter’s vision, our application was developed to track objects in a scene with the main goal of creating a reliable and operative moving child-object detection system. The aim of this study is to explore novel algorithms to track … …Journal of Computer Science, Vol. 10, Issue 2 · 16 Nov 2013 · 8,592 accessesView PDFCite