Research ArticleOpen accessIn the abstractEmerging Stock Market Performance and Economic GrowthSeyyed Ali Paytakhti OskooeProblem statement: In spite of significant development in Iran stock market as a emerging stock market, there has been not specific research on the causality between the stock prices and economic growth. This study represented a systematic investigation of the relationship between stock market performance and economic growth in Iran by conducting causality tests within the Vector Error Correction Model … …American Journal of Applied Sciences, Vol. 7, Issue 2 · 28 Feb 2010 · 8,460 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Data Processing on Data QualityA. R. SamihProblem statement: Great attention had been paid on spatial data quality by the scientific community. This was due to the negative impact that a poor spatial data quality had on the competitiveness of an organization. On other hand, we can never obtain good quality data from a poor quality data. In this study, we demonstrate the effects of the different … …Journal of Computer Science, Vol. 4, Issue 12 · 31 Dec 2008 · 7,269 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamically Reconfigurable Embedded Architecture-An Alternative To Application-Specific Digital Signal Processing ArchitecturesN. Ramadass, S. Natarajan, J. Raja Paul PerinbamEmerging trends in design of real-time digital signal processing systems indicate that in the future, a significant amount of performance improvement can be achieved using dynamically reconfigurable embedded architectures consisting of reconfigurable, general-purpose components. Although embedded real-time systems have long been prevailing in our society, no firm scientific base has been established yet to handle timing requirements in a systematic … …Journal of Computer Science, Vol. 3, Issue 10 · 31 Oct 2007 · 6,727 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Classification Models for Predicting Mortality Rate Using Thyroid Cancer DataNorah Saleh AlghamdiMachine Learning (ML) can potentially enhance predictions in real-life domains. This study presents an evaluation and comparison of different ML methods which can be applied on thyroid cancer dataset, called Prostate, Lung, Colorectal and Ovarian (PLCO), of approximately 155,000 participants with thyroid cancer occurrence and mortality incidence. The ML models are explored for predicting mortality rates of patients with thyroid … …Journal of Computer Science, Vol. 15, Issue 1 · 21 Jan 2019 · 7,788 accessesView PDFCite
Research ArticleOpen accessIn the abstractA VAR Model for Forecasting Land Market Value in USALei WangForecasts of the future tendency of economic variables such as GDP, inflation rate and unemployment rate, arise many interests from business and government. Also, Modeling the land market at the national level can capture rich dynamic presenting in interdependent economies. In this paper, we studied a Vector Auto-regression (VAR) of Land Market Value and five US macroeconomic variables. We employed … …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 1 Jan 2018 · 7,639 accessesView PDFCite
Review ArticleOpen accessIn the abstractProcessing Skyline Queries in Incomplete Database: Issues, Challenges and Future TrendsYonis Gulzar, Ali A. Alwan, Norsaremah Salleh, Imad Fakhri Al ShaikhliIn many contemporary database applications such as multi-criteria decision-making and real-time decision-support applications, data mining, e-commerce and recommendation systems, users need query operators to process the data aiming at finding the results that best fit with their preferences. Skyline queries are one of the most predominant query operators that privileges to find the query results that return only those data … …Journal of Computer Science, Vol. 13, Issue 11 · 20 Nov 2017 · 8,002 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Static and Dynamic Gestures Recognition Using Leap MotionBasma Hisham, Alaa HamoudaAcross the world, several millions of people use sign language as their main way of communication with their society, daily they face a lot of obstacles with their families, teachers, neighbours, employers. According to the most recent statistics of World Health Organization, there are 360 million persons in the world with disabling hearing loss i.e. (5.3% of the world’s population), … …Journal of Computer Science, Vol. 13, Issue 8 · 12 Aug 2017 · 8,178 accessesView PDFCite
Research ArticleOpen accessIn the abstractRobust Linear Discriminant AnalysisSharipah Soaad Syed Yahaya, Yai-Fung Lim, Hazlina Ali, Zurni OmarLinear Discriminant Analysis (LDA) is the most commonly employed method for classification. This method which creates a linear discriminant function yields optimal classification rule between two or more groups under the assumptions of normality and homoscedasticity (equal covariance matrices). However, the calculation of parametric LDA highly relies on the sample mean vectors and pooled sample covariance matrix which are sensitive … …Journal of Mathematics and Statistics, Vol. 12, Issue 4 · 4 Jan 2017 · 7,649 accessesView PDFCite
Research ArticleOpen accessIn the abstractDETECTION OF DIABETIC MACULOPATHY IN HUMAN RETINAL IMAGES USING MORPHOLOGICAL OPERATIONSG.S. Annie Grace Vimala, S. KajamohideenDiabetic Retinopathy (DR) is a common retinal complication associated with diabetes. Adverse changes in the retinal blood vessels lead to loss of vision without any symptoms. Diabetic retinopathy is frequent, blinding complication of the patient with high blood sugar levels that characterize diabetes. Automatic Recognition of DR lesions like Exudates, in digital fund us images can contribute to the diagnosis … …OnLine Journal of Biological Sciences, Vol. 14, Issue 3 · 15 Jul 2014 · 7,073 accessesView PDFCite
Research ArticleOpen accessIn the abstractStill Image Compression Using Texture and Non Texture Prediction ModelG. Mohanbaabu, P. RenugaProblem statement: Existing lossless image compression schemes attempt to do prediction in an image data using their Local Binary Pattern (LBP) and their spatial neighborhood based techniques. In the previous techniques such as Vector Quantization (VQ) and Gradient Adjusted Prediction (GAP) the texture and non-texture regions are not classified separately. Texture and Non-texture images prophecy has been a key factor … …American Journal of Applied Sciences, Vol. 9, Issue 4 · 11 Feb 2012 · 7,303 accessesView PDFCite