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96 articles for “Data-Level Methods”
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Research ArticleOpen accessIn the abstractOptimization of Coaching Using Six SigmaDumitru Colibaba-Evulet, Andrei EvuletProblem statement: In today’s sports world, coaching and training methods are the subject of intensive competition amongst rivals. Innovative technologies, methodologies and preparation methods are employed to achieve a sustainable competitive advantage. Effective performance measurement, statistical analysis and data based decision taking have been identified as key elements towards efficient performance management. The statistical approach has been emphasized in order … …Journal of Social Sciences, Vol. 7, Issue 3 · 16 Jul 2011 · 8,057 accessesView PDFCite
Research ArticleOpen accessIn the abstractData Optimization with Multilayer Perceptron Neural Network and Using New Pattern in Decision Tree ComparativelyMurat Kayri, Omay CoklukProblem statement: The aim of the present study is to exemplify the use of Artificial Neural Networks (ANN) for parameter prediction. Missing value or unreal approach to some questions in scale is a problem for unbiased findings. To learn a real pattern with ANN provides robust and unbiased parameter estimation. Approach: To this end, data was collected from 906 students … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,205 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeveloping Ornamental Plants for Promoting Community EconomyKritsana Khonphian, Wirat Pansila, Prasopsuk RitthidetProblem statement: This study aimed to investigate the development of ornamental plants for promoting community economy in marketing and product selling. The study area was Ban Mai Udom, Tambon Ban Mai, Amphoe Nong Bunmak, Changwat Nakhon Ratchasima. Approach: This qualitative research study collected documentary data and field data using survey, observations, interviews and focused group discussion. The sample consisted of … …Journal of Social Sciences, Vol. 5, Issue 4 · 31 Dec 2009 · 7,210 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigation of the Agricultural Water Management Mechanisms in Zarindasht County, Fars Province, IranAli Asadi, Yaser Mohammadi, Hossein Shabanali FamiProblem statement: Both sequential droughts and lack of water optimal consumption in Zarindasht county, have created scarcity problem that caused agricultural yield’s loss in this county. So according to lack of optimal consumption of agricultural water in this county, the main purpose of this study was to investigate agricultural water management mechanisms in three fields of irrigation sources, water transfer … …American Journal of Agricultural and Biological Sciences, Vol. 4, Issue 2 · 30 Jun 2009 · 7,962 accessesView PDFCite
Research ArticleOpen accessIn the abstractPersonal Characteristics Affecting Agricultural Extension Workers' Job Satisfaction LevelAli Asadi, Fereshteh Fadakar, Zahra Khoshnodifar et al.Problem Statement: One of the closely associated concepts with performance of an organization is job satisfaction. The purpose of this study was to investigate the relationship between personal characteristics and job satisfaction. Approach: A survey of 52 extension workers was conducted in Fars Province, southern Iran. To collect data, a questionnaire including Bray field and Rothe Job Satisfaction Index was … …Journal of Social Sciences, Vol. 4, Issue 4 · 31 Dec 2008 · 8,242 accessesView PDFCite
Research ArticleOpen accessIn the abstractSugarcane Phenological Date Estimation Using Broad-Band Digital CamerasMobasheri, M. Chahardoli, J. Jokar, M. FarajzadehIn the agricultural industry, precision farming is the most important task that attracts lots of attentions. The health of the plant depends mostly on the amount of water in its access that can be estimated through vegetation indices. These indices can be extracted from satellite images through Image processing algorithms. The objective of this research was to provide an equation … …American Journal of Agricultural and Biological Sciences, Vol. 3, Issue 2 · 30 Jun 2008 · 7,962 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntroduction of Three Complementary Technologies into Clinical Medicine: Development of New Diagnostic and Prognostic ParametersGernot P. Tilz, Marco Wiltgen, Ulrike Demel et al.Molecular medicine leads us to understand some diseases at the molecular level. Examples are the analysis of immune complexes and receptor - anti receptor compounds used in clinical medicine. Structural changes of some serum proteins occur in inflammation, neoplasie and autoimmunity. The detection and analysis of such structural modifications may offer a new field for the diagnosis, prognosis and therapy … …American Journal of Immunology, Vol. 2, Issue 1 · 31 Mar 2006 · 6,961 accessesView PDFCite
Research ArticleOpen accessIn the abstractFunctional Role of Vitelline Glands and Mehlis Gland in the Process of Resistant Egg Shell Formation in TrematodesRimma UaliyevaThe study of the functional morphology of the reproductive system of trematodes, as well as its individual parts, provides an opportunity to solve an important problem that plays a huge role in theoretical and practical terms as the directed regulation of the fecundity of endoparasites. The article is devoted to the study of the functional role of vitelline glands and … …OnLine Journal of Biological Sciences, Vol. 23, Issue 2 · 28 Feb 2023 · 6,371 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Speaker Recognition: Babylon Levantine Subset Case StudyMansour Alsulaiman, Youssef Alotaibi, Muhammad Ghulam et al.Problem statement: Researchers on Arabic speaker recognition have used local data bases unavailable to the public. In this study we would like to investigate Arabic speaker recognition using a publically available database, namely Babylon Levantine available from the Linguistic Data Consortium (LDC). Approach: Among the different methods for speaker recognition we focus on Hidden Markov Models (HMM). We studied the … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 7,246 accessesView PDFCite
Research ArticleOpen accessIn the abstractClassification of Geographical Land Structure Using Convolution Neural Network and Transfer LearningMustafa Majeed Abd Zaid, Ahmed Abed Mohammed, Putra SumariSatellite imagery has dramatically revolutionized the field of geography by giving academics, scientists, and policymakers unprecedented global access to spatial data. Manual methods typically require significant time and effort to detect the generic land structure in satellite images. This study can produce a set of applications such as urban planning and development, environmental monitoring, disaster management, etc. Therefore, the research … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Oct 2024 · 5,086 accessesView PDFCite