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62 results for “Interpolation”
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Research ArticleOpen accessIn the keywordsNew Hybrid Block Method with Three Off-Step Points for Solving First Order Ordinary Differential EquationsRa’ft Abdelrahim, Zurni Omar, John Olusola KuboyeA new single-step hybrid block method with three off-step points for the solution of first order ordinary differential equations is proposed. The strategy employed to develop this method is interpolating the power series approximate solution at xn and off-step points and collocating the derivative of the power at xn+1. The class of linear multistep method derived is then simultaneously applied … …American Journal of Applied Sciences, Vol. 13, Issue 2 · 18 Feb 2016 · 8,234 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Linear Model for Moving Measurements Estimation in Urban Climate StudiesClaudia Cotrim Pezzuto, Lucila Chebel Labaki, Lia Toledo Moreira Mota, Alexandre Alexandre de Assis MotaProblem statement: Several methods can be adopted to study the variations in urban climate. The mobile measurement method is one of them, involving information provided by moving measurements of air temperature, that are taken in points defined along pre-established routes and also data from fixed-point temperature recording stations. Because moving measurements are made in different times along the measurement process, … …American Journal of Applied Sciences, Vol. 8, Issue 7 · 24 Jun 2011 · 7,038 accessesView PDFCite
Research ArticleOpen accessIn the keywordsLQ-Moments: Application to the Log-Normal distributionAni Shabri, Abdul A. JemainMudolkar and Hutson (1998) extended L-moments to new moment like entitles called LQmoments (LQMOM). The LQMOM are constructed by using functional defining the quick estimators, where the parameters of quick estimator take the values p = 0, α = 1 for the median, p = 1/4, α = 1/4 for the trimean and p = 0.3, α = 1/3 for … …Journal of Mathematics and Statistics, Vol. 2, Issue 3 · 30 Sep 2006 · 6,998 accessesView PDFCite
Research ArticleOpen accessIn the abstractCascaded MNetV3UNet: A Lightweight Two-Stage Architecture for High-Precision Brain Tumor Segmentation in MRIMayuri Popat, Sanskruti PatelPrecise brain tumor segmentation is an essential but quite challenging process in MRI images because of their irregular shapes, heterogeneous appearance, and low contrast with surrounding tissues. While U-Net-based architectures have achieved significant success, their high computational complexity limits deployment on resource-constrained systems. In this study, a Novel two-stage cascaded architecture, MNetV3UNet, is introduced, which employs the light-weight MobileNetV3-Large as … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,788 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch on the Link Between Economic Development Variables and the Rate of Access to Drinking Water in Rural Senegal Using Machine LearningAnabilaye Moussa Coly, Alioune Ly, Ndolane Diouf et al.After pre-processing a set of data collected from Senegalese state structures, official United Nations (UN), and world bank sites and after replacing missing values by interpolation using the mean between two values, we study the effect of macroeconomic development variables on the rate of access to drinking water in rural Senegal. To do this, we use Machine Learning (ML) techniques … …American Journal of Applied Sciences, Vol. 20, Issue 1 · 20 Dec 2023 · 6,204 accessesView PDFCite
Research ArticleOpen accessIn the abstractComplexity and the Ecological Impacts of Tourism on Wetlands Ecosystem and Rural Sustainability: A Case Study of Zrebar WetlandsSima Saadi, Hosein Karimzadeh, Akbar RahimiDue to its natural and ecological qualities, rural tourism has drawn greater attention in recent decades. The development of rural tourism provides a variety of advantages that influence the environment and local resources. Therefore, this study looks at how tourism affects the sustainability of the Zrebar wetland, an urban-rural area in the west of Iran, and the wetland ecosystem. In … …American Journal of Agricultural and Biological Sciences, Vol. 18, Issue 1 · 14 Jun 2023 · 7,105 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of Deep Learning Networks on Printed Odia CharactersSanjibani Sudha Pattanayak, Sateesh Kumar Pradhan, Ramesh Chandra MalikDeep machine learning includes a series of layers to mimic the working of the human brain for taking a decision. Deep learning networks have shown good results in character recognition in the past. This paper evaluates the performance of different deep learning networks like Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) based recurrent neural network and Convolutional LSTM on … …Journal of Computer Science, Vol. 16, Issue 7 · 25 Jul 2020 · 6,785 accessesView PDFCite
Research ArticleOpen accessIn the abstractImage Cryptography with Least Squares ApproximationsMustafa K. Ramadhan, Adil AL-RammahiSecurity of digital images has become one of the most important issues in network technologies. Different techniques have been evolved over the past few years to provide security for digital images through concealing information, image scrambling and image encryption. The aim of this work is to enhance the network security level by using the cryptographic method based on the Least … …Journal of Computer Science, Vol. 15, Issue 11 · 20 Nov 2019 · 7,330 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Analysis of Satellite Image Pre-Processing TechniquesT. Sree Sharmila, K. Ramar, T. SreeRenga RajaSatellite images are corrupted by noise in its acquisition and transmission. The removal of noise from the image by attenuating the high frequency image components, removes some important details as well. In order to retain the useful information and improve the visual appearance, an effective denoising and resolution enhancement techniques are required. In this research, Hybrid Directional Lifting (HDL) technique … …Journal of Computer Science, Vol. 9, Issue 2 · 1 Apr 2013 · 7,308 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn Sixtic Lacunary Spline Solutions of Second Order Initial Value ProblemJwamer Karwan Hama FarajProblem statement: The lacunary problem, which we had investigated in this study, consider in finding the spline function of degree six S(x) of deficiency four, interpolating data given on the function value and third, forth order in the interval [0,1]. Also, on the extra initial condition was prescribed on the first derivative. Other purpose of this construction was to solve … …Journal of Mathematics and Statistics, Vol. 5, Issue 4 · 31 Dec 2009 · 7,763 accessesView PDFCite