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135 articles for “Decomposition”
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Research ArticleOpen accessEvery word in the titleDengue Fever Prediction Empowered by Radial Basis Function Networks, Dynamic Mode Decomposition, and Learning-Based Foraging AlgorithmArchana T, Faritha Banu JDengue fever is presently considered a major health threat that must be addressed. External and internal factors that induce nonlinear oscillations in the occurrence of dengue disease have made optimal resource allocation stimulating. Public health initiatives aimed at eradicating this vector use accurate and timely data through field processes. In dengue-endemic nations, early dengue prediction remains a main concern for … …Journal of Computer Science, Vol. 22, Issue 4 · 16 Apr 2026 · 1,496 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparative Analysis of Five Decomposition Techniques for Monthly Rainfall Time Series from 1991 to 2020 in Guinea (West Africa)Noukpo Médard Agbazo, Oumar Keita, Alpha Oumar Baldé et al.The selection of an optimal time series decomposition’ technique is crucial for enhancing rainfall prediction by using sophisticated methods as deep learning hybrid approaches. This study evaluates the effectiveness of five times series decomposition techniques in analyzing monthly rainfall datasets across Guinea geographical regions (Lower-Guinea (Boké, Conakry, Kindia), Middle-Guinea (Labé, Mamou), Upper-Guinea (Faranah, Kankan) and Forest-Guinea (Nzérékoré)) and identifies the … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 27 Jan 2026 · 3,040 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleContinuous Wavelet Transform Based Spectral Decomposition of 3d Seismic Data for Reservoir Characterization in Oyi Field, se Niger DeltaChukwuemeka Ngozi Ehirim, Andifon Sylvester AkpanContinuous Wavelet Transform (CWT) is one of the most used wavelet transform based spectral decomposition methods in the direct detection of hydrocarbons and as an indicator of stratigraphic variability due to its optimal time-frequency resolution and variable time window requirements. CWT based spectral decomposition was applied on a 3D Post Stack Time Migrated (PSTM) seismic data acquired over a producing … …American Journal of Applied Sciences, Vol. 14, Issue 8 · 28 Apr 2017 · 7,791 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleLung 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 · 8,194 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDecomposition of Marginal Homogeneity into Logit and Mean Ridits Equality for Square Contingency TablesKiyotaka Iki, Kouji Tahata, Sadao TomizawaProblem statement: For square contingency tables with ordered categories, if the Marginal Homogeneity (MH) model holds, then the probability that X selected at random from the row marginal distribution is less than Y selected independently at random from the column marginal distribution equals the probability that X is greater than Y. However, the converse does not hold. We are interested … …Journal of Mathematics and Statistics, Vol. 6, Issue 1 · 31 Mar 2010 · 7,297 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBlock Cipher Involving Key Based Random Interlacing and Key Based Random DecompositionK. Anup Kumar, V. U.K. SastryProblem statement: The strength of the block ciphers depend on the degree of confusion and diffusion induced in the cipher. Most of the transformations used for this purpose are well known to every one and can be broken by a crypt analyzer. Therefore, in order to counter attack the crypt analyzer, there is a need for better transformations in addition … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Feb 2010 · 7,004 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBenders' Decomposition Based Heuristics for Large-Scale Dynamic Quadratic Assignment ProblemsSirirat Muenvanichakul, Peerayuth CharnsethikulProblem statement: Dynamic Quadratic Assignment Problem (DQAP) is NP hard problem. Benders decomposition based heuristics method is applied to the equivalent mixed-integer linear programming problem of the original DQAP. Approach: Approximate Benders Decomposition (ABD) generates the ensemble of a subset of feasible layout for Approximate Dynamic Programming (ADP) to determine the sub-optimal optimal solution. A Trust-Region Constraint (TRC) for the … …Journal of Computer Science, Vol. 5, Issue 1 · 31 Jan 2009 · 7,681 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTwigINLAB: A Decomposition-Matching-Merging Approach To Improving XML Query ProcessingSu-Cheng Haw, Chien-Sing LeeThe emergence of the Web has increased significant interests in querying XML data. Current methods for XML query processing still suffers from producing large intermediate results and are not efficient in supporting query with mixed types of relationships. We propose the TwigINLAB algorithm to process and optimize the query evaluation. Our TwigINLAB adopts the decomposition-matching-merging approach and focuses on optimizing … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 6,988 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn Overview for Decomposition of Industry Energy ConsumptionChun-Chu LiuThis study is to overview several methodological related to the decomposition approach based on the energy consumption. Based on a comparison of the size of the residual term that the adaptive weighting Divisia and the simple average Divisia index method, is most robust, exhibiting the smallest residual term. A complete decomposition model also introduced here has solved a residual problem. …American Journal of Applied Sciences, Vol. 2, Issue 7 · 31 Jul 2005 · 6,712 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComputing ULV Decomposition by Divide Conquer MethodHasan Erbay, Jesse L. BarlowThe ULV decomposition (ULVD) is an important member of a class of rank-revealing two-sided orthogonal decompositions used to approximate the Singular Value Decomposition (SVD). The ULVD can be modified much faster than the SVD. The accurate computation of the subspaces is required in applications in signal processing. In this study we introduce a divide conquer ULVD algorithm. …Journal of Mathematics and Statistics, Vol. 1, Issue 2 · 30 Jun 2005 · 6,434 accessesView PDFCite