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80 articles for “important points”
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Research ArticleOpen accessIn the abstractA MIXTURE DROPOUT MECHANISM IN A LONGITUDINAL STUDY WITH TWO TIME POINTS: A METHADONE STUDYZohreh Toghrayee, Parvin Jalili, Heng Chin Low, Ardavan TaghvaOne of the most important issues that confront statisticians in longitudinal studies is dropouts. A variety of reasons may lead to withdrawal from a study and produce two different missingness mechanisms, namely, missing at random and non-ignorable dropouts. Nevertheless, none of these mechanisms is tenable in most studies. In addition, it may be that not all of dropouts are nonignorable. … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 26 Apr 2014 · 6,726 accessesView PDFCite
Research ArticleOpen accessIn the abstractImpact of Algorithms for the Extraction of Minutiae Points in Fingerprint BiometricsM. Rajaram, Sudha S. PonnarasiProblem statement: As the importance of automatic personal identification applications increases, biometrics particularly fingerprint identification is the most consistent and greatly acknowledged technique. A very important step in automatic fingerprint recognition system is to extract the minutiae points from the input fingerprint images automatically and quickly. Approach: Fingerprints from the database FVC2002 (DB1-a) is used for experimental purpose. The minutiae … …Journal of Computer Science, Vol. 8, Issue 9 · 9 Aug 2012 · 7,644 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Transboundary Movement of Hazardous Waste: A Contribution to Improve the Present Technical-Judicial ModelGiancarlo Carosso, Cesare Luceri, Pierpaolo OresteThe expression &#34the transboundary movement of hazardous waste&#34 refers, from the technical point of view, to a series of phases that begin with the creation of a hazardous waste and includes its identification according to international, regional and national standards, its delivery to specialized companies and its movement from the exporting country to the importing country; these phases end with … …American Journal of Environmental Sciences, Vol. 8, Issue 4 · 13 Jul 2012 · 7,156 accessesView PDFCite
Research ArticleOpen accessIn the abstractSociocultural Characteristics of Psychological Education in the Context of Systemic-Anthropological ApproachIrina Loginova, Victoria Chupina, Yulya ZhivaevaProblem statement: The problem of moving from economic efficiency of the social one in the modern society is actualized. It is pointed out that the methodological basis for the solving questions of psychological education development are considered to be an anthropological psychology as a new scientific branch, which reflects the tendencies of development of psychology now a days. It is … …Journal of Social Sciences, Vol. 8, Issue 2 · 26 Mar 2012 · 8,869 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of Aberrant Data Points for an effective Effort Estimation using an Enhanced Algorithm with Adaptive FeaturesS. Malathi, S. SridharProblem statement: The spiraling growth of IT industry has witnessed an unprecedented change in the software development paradigm, from algorithmic models to machine learning techniques. At present, there are no standard methods to predict the accuracy of software cost estimation, which is an important goal of the software community. Approach: This study proposes a simple and systematic algorithmic procedure for … …Journal of Computer Science, Vol. 8, Issue 2 · 21 Nov 2011 · 7,095 accessesView PDFCite
Research ArticleOpen accessIn the abstractShape Retrieval through Angular Distance with Shortest Augmenting Path AlgorithmD. Chitra, N. Devarajan, T. ManigandanProblem statement: The shape of an object is very important in object recognition. Shape matching is a challenging problem, especially when articulation and deformation of a part occurs. These variations may be insignificant for human recognition but often cause a matching algorithm to give results that are inconsistent with our perception. Approach: We proposed a customized approach to measure similarity … …Journal of Computer Science, Vol. 7, Issue 12 · 21 Oct 2011 · 6,822 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Approach for 3D Range Image Segmentation using Gradient MethodDina A. Hafiz, Walaa M. Sheta, Sahar Bayoumi, Bayumy A.B. YoussefProblem statement: Segmentation of 3D range images is widely used in computer vision as an essential pre-processing step before the methods of high-level vision can be applied. Segmentation aims to study and recognize the features of range image such as 3D edges, connected surfaces and smooth regions. Approach: This study presents new improvements in segmentation of terrestrial 3D range images … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 19,597 accessesView PDFCite
Research ArticleOpen accessIn the abstractKnowledge and Attitude of Persons Living with HIV+/AIDS (PLWAs) Towards HIV/AIDS in IranJamshidi Makiani Mahin, Davoodian Parivash, Abdoul Hossain Madani et al.Problem statement: As number of Persons Living with HIV/AIDS (PLWAs) increases, caring for them is a new rising problem. The World Health Organization encourages caring these people at home. Patients themselves also prefer to stay at home than staying in hospital. Adequate knowledge and positive attitude are important factors in providing better care for a patient. Approach: This study was … …American Journal of Infectious Diseases, Vol. 6, Issue 3 · 30 Sep 2010 · 8,262 accessesView PDFCite
Research ArticleOpen accessIn the abstractDifferential Gene Expression in Zebrafish (Danio rerio) Following Exposure to Gaseous Diffusion Plant Effluent and Effluent Receiving Stream WaterBen F. Brammell, Andrew J. WiggintonProblem statement: The expression of six genes known to serve as bioindicators of environmental stress were examined using real-time quantitative PCR in liver tissue extracted from zebrafish (Danio rerio, Hamilton) exposed to effluent and effluent containing stream water associated with the Paducah Gaseous Diffusion Plant (PGDP). Approach: The PGDP, the only active uranium enrichment facility in the US, is located … …American Journal of Environmental Sciences, Vol. 6, Issue 3 · 30 Jun 2010 · 7,775 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputational Complexity between K-Means and K-Medoids Clustering Algorithms for Normal and Uniform Distributions of Data PointsT. Velmurugan, T. SanthanamProblem statement: Clustering is one of the most important research areas in the field of data mining. Clustering means creating groups of objects based on their features in such a way that the objects belonging to the same groups are similar and those belonging to different groups are dissimilar. Clustering is an unsupervised learning technique. The main advantage of clustering … …Journal of Computer Science, Vol. 6, Issue 3 · 31 Mar 2010 · 19,451 accessesView PDFCite