Research ArticleOpen accessIn the abstractResidual Analysis for Auto-Correlated Econometric ModelHabib Ahmed ElsayirThe aim of this article is to provide residual analysis for a time series data of Gross Domestic Product (GDP) of the Sudan. An econometric time series model with macroeconomic variables is conducted to examine the goodness of fit using residual. Many statistical tests are used in time series models in order to make it a stationary series. After applying … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 1 Jun 2019 · 6,579 accessesView PDFCite
Research ArticleOpen accessIn the abstractRain Events Detection using Energy Variation of Commercial Microwave Links AttenuationWend Yam Serge Boris Ouedraogo, Moumouni Djibo, Ali Doumounia et al.In this study, we propose a new method for detecting wet periods by using telecommunications Commercial Microwave Links (CML). The purpose of the study is to automatically find rain time slots. The attenuation of the microwave signal, propagating between a transmitting antenna and a receiving one, due to the variations of the climatic conditions over the link, is a non-stationary … …American Journal of Applied Sciences, Vol. 19, Issue 1 · 20 Aug 2022 · 6,291 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Synthetic Oversampling Algorithm for Handling Class Imbalance in Multi-Class Data Stream ClassificationPriya S., Annie UthraConcept drift and class imbalanced data are major challenging processes involved in modern streaming data classification. Particularly, when integrated with difficult factors like the existence of noise, overlapping class distribution, concept drift, and data imbalance can considerably affect the classifier results. In addition, various challenges affect the performance of the existing oversampling schemes such as SMOTE and its derivatives. Regardless … …Journal of Computer Science, Vol. 18, Issue 7 · 26 Jul 2022 · 5,814 accessesView PDFCite
Research ArticleOpen accessIn the abstractIraqi Stock Market Prediction using Proposed Model of Convolution Neural NetworkSama Hayder Abdulhussein, Nashaat Jasim Al-Anber, Hayfaa Abdulzahra AteeThe stock market, sometimes known as the share market, is a marketplace for stock sellers and buyers. A stock exchange is defined as a mechanism through which stockbrokers can purchase and sell shares, bonds, and other assets. Many businesses, regardless of their industries or domains, make their shares or stocks available on the stock exchange. For value investors, predicting the … …Journal of Computer Science, Vol. 18, Issue 5 · 23 May 2022 · 6,537 accessesView PDFCite
Review ArticleOpen accessIn the abstractThere is Life on Mars?Relly Victoria Virgil Petrescu, Raffaella Aversa, Antonio Apicella et al.If you can live on Mars, or if there was life on this planet, it's a natural question. The population of our planet has far outstripped the boundaries from which the planet begins to overcrow. Global resources are decreasing, while their consumption is rising more and more. The world's population is growing, it needs housing, food, water, air, clothes, transport, … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 23 Dec 2017 · 8,582 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputational Analysis of Network ODE Systems in Metric Spaces: An ApproachSusmit BagchiTraditionally, the concepts of graph theory are applied to design stationary computer networks and, to analyze dynamics of social networks. However, the majority of non-stationary network models are formulated by using Ordinary Differential Equations (ODE) with varying orders having homogeneous or non-homogeneous forms. However, the analysis of continuous solution spaces of ODE and understanding of the interplay of spaces in … …Journal of Computer Science, Vol. 13, Issue 1 · 1 Mar 2017 · 7,895 accessesView PDFCite
Research ArticleOpen accessIn the abstractLung Sound Classification Using Empirical Mode Decomposition and the Hjorth DescriptorAchmad Rizal, Risanuri Hidayat, Hanung Adi NugrohoLung sound is produced by the respiration process in the human respiratory tract. It contains information about the health of the respiratory organs. Lung sound is non-stationary signals and complex signals. One method for the analysis of non-stationary signals often used for the analysis of lung sounds is Empirical Mode Decomposition (EMD). EMD is used to view the Instantaneous Frequency … …American Journal of Applied Sciences, Vol. 14, Issue 1 · 27 Jan 2017 · 8,201 accessesView PDFCite
Research ArticleOpen accessIn the abstractKinematic and Dynamic Analysis of a Classic, Three-Axis Manual Gearbox, Without a Direct SocketRelly Victoria Virgil Petrescu, Florian Ion Tiberiu PetrescuFixed axis mechanical transmissions today have the largest spread on the entire planet, being practically used in almost all areas. From the gearboxes of the vehicles to the stationary reducers, used in the electrical, electronic and electro technical equipment, in the heavy industry but also in the light industry, in energy and in transport, practically the transmissions with fixed axes … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 2 · 24 May 2020 · 7,685 accessesView PDFCite
Research ArticleOpen accessIn the abstractECG Energy Change Study Based on Variational Mode DecompositionKai Dong, Lin Sun, Hongjun Xiong, Wenbo WangVariational Mode Decomposition (VMD) decomposes the signal into a series of Intrinsic Mode Type Functions (IMTFs) according with variational model and fluctuating characteristics of the signal itself, thus very suitable for the analysis of nonlinear and non-stationary Electrocardiogram (ECG) signal. Energy of ECG signal has certain distribution rules, but which could be affected by diseases; therefore, the study of ECG … …American Journal of Biochemistry and Biotechnology, Vol. 16, Issue 1 · 12 Mar 2020 · 7,403 accessesView PDFCite
Research ArticleOpen accessIn the abstractBootstrap Approach to Correlation Analysis of Two Mineral ComponentsT.O. OlatayoProblem statement: In this article we considered pairs bootstrap through a truncated geometric bootstrap method for stationary time series data. Construction of valid inferential procedures through the estimates of standard error, coefficient of variation and other measures of statistical precision such as bootstrap confidence interval were considered. The method was used to confirm the correlation between Silicon Oxide (SiO2) and … …Current Research in Geoscience, Vol. 2, Issue 1 · 7 May 2013 · 6,597 accessesView PDFCite