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547 results for “ExPEC”
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Research ArticleOpen accessIn the keywordsENERGY PSYCHOLOGY-PRACTICES AND THEORIES OF NEW COMBINATIONS OF PSYCHOTHERAPYDaniel J. BenorEnergy Psychology (EP) includes a spectrum of practices in which people tap on their bodies while focusing their minds on problems they want to change. EP therapies often are very rapidly effective. This article examines varieties of explanations for how EP works, including: Cognitive changes, psychological conditioning, expectation effects, distraction techniques, tapping on acupuncture points, shifts in other biological energies, … …Current Research in Psychology, Vol. 5, Issue 1 · 12 Jul 2014 · 16,526 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTHE COMPLEX STATISTICS PARADIGM AND THE LAW OF LARGE NUMBERSAbdo Abou JaoudeThe five basic axioms of Kolmogorov define the probability in the real set R and do not take into consideration the imaginary part which takes place in the complex set C, a problem that we are facing in applied mathematics. Whatever the probability distribution of the random variable in R is, the corresponding probability in the whole set C equals … …Journal of Mathematics and Statistics, Vol. 9, Issue 4 · 9 Oct 2013 · 8,199 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStudy of Performance Analysis in Wired and Wireless NetworkV.B. Kirubanand, S. PalaniammalProblem statement: The main intent of this study is to derive a high performance clientserver network using hub, switch, Bluetooth, WI-Fi and Wimax using the steadfast algorithms. Approach: This study mainly focuses on M/M (a,b)/1 markovian model with adaboost algorithm and user selection algorithms to find performance on wired and wireless technologies in terms of service rate, arrival rate, Expected … …American Journal of Applied Sciences, Vol. 8, Issue 8 · 19 Jul 2011 · 7,472 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA New Modified Gaussian Mixture Model for Color-Texture SegmentationM. Sujaritha, S. AnnaduraiProblem statement: This study presents a new, simple and efficient modified Gaussian mixture model based clustering algorithm for color-texture segmentation. The proposed mixture model introduces a new component density function which incorporates spatial information and the weighting factor for neighborhood effect is fully adaptive to the image content. Approach: It enhances the smoothness towards piecewise-homogeneous segmentation and reduces the edge-blurring … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,329 accessesView PDFCite
Research ArticleOpen accessIn the keywordsCost Analysis of a Two Dissimilar-Unit Cold Standby Redundant System Subject to Inspection and Random Change in UnitsG. S. Mokaddis, C. H. MattaProblem statement: This study deled with the cost analysis of a two dissimilar unit cold standby redundant system subject to inspection and random change in units. In this system each unit works in two different modes normal and total failure. Assuming that the failure, repair, post repair, interchange of units and inspection times are stochastically independent random variables each having … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 7,298 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Application of Session Based Clustering to Analyze Web Pages of User Interest from Web Log FilesC. P. Sumathi, R. Padmaja Valli, T. SanthanamProblem statement: With the continued growth and proliferation of e-commerce, Web services and Web-based information systems, the volumes of click-stream and user data collected by Web-based organizations in their daily operations have reached astronomical proportions. Analyzing such data can help these organizations optimize the functionality of web-based applications and provide more personalized content to visitors. This type of analysis involved … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 6,877 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Experimental Study of Petty Corrupt Behaviour in Small Decision Making ProblemsTakemi FujikawaThis research discusses small decision making problems and petty corruption as their practical applications with a structured economic experiment. One of examples of petty corruption considered includes demands for petty bribes by traffic officials followed by police. We examine that it is caused by subjective underweighting of rare events and its objective probabilities. This literature reports results of an experiment, … …American Journal of Applied Sciences, Vol. 2, Issue 13 · 3 Dec 2005 · 8,105 accessesView PDFCite
Research ArticleOpen accessIn the keywordsModeling Traffic Flow and Management at Un-signalized, Signalized and Roundabout Road IntersectionsR. Kakooza, L.S. Luboobi, J.Y.T. MugishaTraffic congestion continues to hinder economic and social development and also has a negative impact on the environment. A simple mathematical model is used to analyze the different types of road intersections in terms of their Performance in relation to managing traffic congestion and to establish the condition for stability of the road intersections after sufficiently longer periods of time … …Journal of Mathematics and Statistics, Vol. 1, Issue 3 · 30 Sep 2005 · 6,611 accessesView PDFCite
Research ArticleOpen accessIn the keywordsWill Financial Analysts Mistake Stocks of Good Companies for Good Stocks? Evidence from Taiwan Stock MarketI-Ju ChenIt has been shown that the individual or institutional investors rely on the information provided by the financial analysts. A good stock recommended by financial experts is expected to make profit to the investors. However, due to the cognitive biases, the financial analysts or investors are probably confused in the firm characteristics between the good stocks and the stocks of … …American Journal of Applied Sciences, Vol. 2, Issue 1 · 31 Jan 2005 · 6,805 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTowards an Explainable Approach: Hybrid Residual Network and SVM for Automated Brain Tumor Detection and ClassificationKamini Lamba, Shalli RaniThe abnormal growth of brain cells leads to tumor formation, which can be fatal if not detected and treated promptly. Given the complexity of brain tumors, early detection is critical in healthcare. Traditional radiology-based tumor detection is prone to human error and delays. Hence, a computer- assisted method is needed for accurate and efficient diagnosis. With the rapid advancements in … …Journal of Computer Science, Vol. 22, Issue 1 · 11 Feb 2026 · 1,427 accessesView PDFCite