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65 articles for “Statistical Power”
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Research ArticleOpen accessIn the abstractA NOVELTY APPROACH OF SPATIAL CO-OCCURRENCE AND DISCRETE SHEARLET TRANSFORM BASED TEXTURE CLASSIFICATION USING LPBOOSTING CLASSIFIERC. Vivek, S. AudithanRecently, the research towards Brodatz database for texture classification done at considerable amount of study has been published, the effective classification are vulnerable towards for training and test sets. This study presents the novel texture classification method based on feature descriptor, called spatial co-occurrence with discrete shearlet transformation through the LPboosting classification. It can be considered as a frame through … …Journal of Computer Science, Vol. 10, Issue 5 · 11 Jan 2014 · 6,602 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandom Forest-Based Genome Analysis for Disease Association and SNP Marker IdentificationXiangdong LiuAt present, genomic data analysis has the problems of insufficient model interpretation and limited computational efficiency in disease association research. As a powerful machine learning algorithm, Random Forest has demonstrated excellent ability in processing complex and multi-dimensional data sets and has gradually become a popular tool in the field of bioinformatics. The purpose of this paper is to explore how … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 25 Jul 2025 · 5,533 accessesView PDFCite
Review ArticleOpen accessIn the abstractDDoS Mitigation Using Machine Learning in Software-Defined NetworksAhmed Gaber Abu Abd-Allah, Noureldin Omar Mohamed, Mohamed Samir Mohamed et al.With the escalating frequency and sophistication of Distributed Denial of Service (DDoS) attacks, the realm of cyber security has witnessed a paradigm shift towards innovative solutions. This review explores the potential of machine learning as a powerful defense mechanism in the field of DDoS mitigation within Software-Defined Networks (SDNs). The study methodically examines a variety of machine learning algorithms used … …Journal of Computer Science, Vol. 21, Issue 4 · 23 Mar 2025 · 6,774 accessesView PDFCite
Research ArticleOpen accessIn the abstractRandom Forest Based Feature Selection of Macroeconomic Variables for Stock Market PredictionIsaac Kofi Nti, Adebayo Felix Adekoya, Benjamin Asubam WeyoriA firm’s equity price on the stock-market is reported to be closely related to the Macroeconomic Variable (MVs) of the country in which the firm trades. For this reason, researchers, market traders, financial analysts and forecasters to examine the association between MVs and stock-price have carried out numerous studies, using time-series statistical analysis methods like Autoregressive Integrated Moving Average (ARIMA), … …American Journal of Applied Sciences, Vol. 16, Issue 7 · 31 Jul 2019 · 10,234 accessesView PDFCite
Research ArticleOpen accessIn the abstractDirect Sequence and Frequency Hopping Signals Classification Based on Co-Occurrence Matrix and Clustering TechniquesHaidy S. Fouad, Hend A. Elsayed, Shawkat K. GirgisSpread Spectrum techniques (SS) were first developed for military applications, but currently, they have commercial applications. SS provides secure communication and allows multiple accesses for same radio spectrum. So, most Wireless Local Area Network (WLAN) systems use it, as do Cognitive Radios (CR), space systems and Global Positioning Systems (GPS). Direct Sequence Spread Spectrum (DSSS) and frequency hopped spread spectrum … …Journal of Computer Science, Vol. 15, Issue 1 · 10 Jan 2019 · 8,203 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Economic Perspective of the Export Potentiality of Aromatic Rice in BangladeshRiffat Ara Zannat Tama, Aurup Ratan Dhar, Ismat Ara BegumThe study was conducted to assess the export potential of aromatic rice in Bangladesh as well as identify the factors affecting gross return from aromatic rice production. About 45 aromatic rice farms were selected from five villages of Dinajpur district using stratified sampling method for the study. Data were analyzed with a combination of descriptive statistics, mathematical and statistical techniques. … …American Journal of Economics and Business Administration, Vol. 10, Issue 1 · 12 Jul 2018 · 8,241 accessesView PDFCite
Research ArticleOpen accessIn the abstractInteraction between Cadmium and Calcium in Human Blood at the SmokersLulzim Zeneli, Nexhat Daci, Hidajet Paçarizi, Majlinda Daci-AjvaziProblem statement: Defining of correlation between toxic and essential elements in human beings is an important clinical screening procedure. Approach: The aim of this study was to determine the correlation between cadmium as toxic element and calcium as an essential element in the blood at the smokers. We have investigated 50 human blood samples of different ages and genders (age: … …American Journal of Pharmacology and Toxicology, Vol. 5, Issue 1 · 31 Mar 2010 · 7,860 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Simple Robust Control Chart Based on MADMoustafa Omar Ahmed Abu-ShawieshControl charts are one of the most powerful tools used to detect aberrant behavior in industrial processes. The Shewhart S-control chart is one of the most widely used statistical process control techniques developed to control the process variability based on the fundamental assumption that the underlying distribution of the quality characteristic is normal. When the underlying normality assumption is not … …Journal of Mathematics and Statistics, Vol. 4, Issue 2 · 30 Jun 2008 · 14,254 accessesView PDFCite
Research ArticleOpen accessIn the abstractUse of Response Surface Methodology for Optimization of Nickel Adsorption in an Aqueous Solution by ClayNesrine Turki, Nesrine Boujelben, Zaineb Bakari, Jalel BouzidIn this study, Scanning Electron Microscopy (SEM), X-ray diffraction and BET surface area (SBET) methods were employed to characterize the adsorbent. Response Surface Methodology (RSM) was consider as a good method to assess Ni adsorption treatment and Box-Behnken design was used to examine simultaneous the effects of different experimental variables (pH, adsorbent dosage, contact time). Experimental results showed high adsorption … …American Journal of Environmental Sciences, Vol. 17, Issue 5 · 24 Nov 2021 · 6,292 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of Stochastic and Deterministic Methods for Mapping Environmental Noise from Opencast QuarriesDario Lippiello, Guido Alfaro Degan, Mario PinzariAn accurate mapping of the acoustic spatial variability generated by quarrying plants constitutes an important step in the assessment of the environmental compatibility of the extraction site with the surrounding area. This paper refers to the results of a study comparing performances obtained by stochastic and deterministic methods to determine the acoustic climate of the areas surrounding opencast quarries. To … …American Journal of Environmental Sciences, Vol. 12, Issue 2 · 28 Mar 2016 · 7,394 accessesView PDFCite