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Research ArticleOpen accessEvery word in the titleCrime Rate Analysis and Mapping from Socio-Economic Data Using Deep Neural NetworksSanthosh Sankara, Nadeson SugithaCrime prediction is the attempt to identify and mitigate future criminal activity. Crime is typically "unpredictable"; it cannot be predicted in advance. Addressing the roots of crime has long been a priority for researchers. Extracting causality from data is difficult if the relevant data aspects are not selected. In this research activity, an innovative classification framework is defined which is … …Journal of Computer Science, Vol. 20, Issue 10 · 17 Aug 2024 · 5,089 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparative Analysis of Laboratory Measured and PVTP Software DataOluwasanmi Samuel Teniola, Mercy Isaiah OkegbemiCubic Equations of State (EOS), including the Peng-Robinson (PR) and Soave-Redlich-Kwong (SRK) models, are foundational in petroleum engineering for modeling the thermodynamic behavior of hydrocarbon systems. These EOS are widely used to predict phase behavior and Pressure-Volume-Temperature (PVT) properties, which are crucial for reservoir simulation, production forecasting, and enhanced oil recovery. However, their predictive accuracy diminishes when applied to complex … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 20 Dec 2025 · 2,761 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Reliable Method of Analysis for Geotechnical DataAbdolrasoul Ranjbaran, Mohammad Ranjbaran, Fatema RanjbaranGeotechnical engineering is the art of making decisions in the presence of uncertainty, where real world problems are treated and this is associated with uncertainties arising from various sources. The sources of uncertainty may be divided into uncertainties of nature and uncertainties of mind. The uncertainties of nature are due to variation of encountered phenomena, e.g., the shear strength in … …International Journal of Structural Glass and Advanced Materials Research, Vol. 4, Issue 1 · 26 Dec 2020 · 7,573 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnalysis of Unaided Vision Data using New Decomposition of SymmetryKouji Yamamoto, Sadao TomizawaProblem statement: First, this study considers how the structure of symmetry for probabilities is decomposed into two structures. Secondly, this study infers the structure of unknown probabilities which indicates how the right eye is better (or worse) than the left eye for three kinds of data on unaided distance vision of (1) women in Britain, (2) students in an university … …Current Research in Medicine, Vol. 3, Issue 1 · 25 Feb 2012 · 7,449 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance Analysis of Data Mining Tools Cumulating with a Proposed Data Mining MiddlewareL. E. Hen, S. P. LeeData mining has becoming increasingly popular in helping to reveal important knowledge from the organization's databases and has led to the emergence of a variety of data mining tools to help in decision making. Present study described a test bed to investigate five major data mining tools, namely IBM intelligent miner, SPSS Clementine, SAS enterprise miner, oracle data miner and … …Journal of Computer Science, Vol. 4, Issue 10 · 31 Oct 2008 · 6,600 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBayesian Analysis of Longitudinal Ordinal Data Using Non-Identifiable Multivariate Probit ModelsXiao ZhangMultivariate probit models have been explored foranalyzing longitudinal ordinal data. However, the inherent identification issuein multivariate probit models requires the covariance matrix of the underlyinglatent multivariate normal variables to be a correlation matrix and thushinders the development of efficient Bayesian sampling methods. It is knownthat non-identifiable models may produce Markov Chain Monte Carlo (MCMC)samplers with better convergence and mixing than … …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 14 Nov 2022 · 6,044 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTrend Analysis of Precipitation, Groundwater Level and Flow Rate Data by using Mann-Kendall and Sen's Slope Estimator Statistical Tests in the Petorca CommunerHéctor L. Venegas-Quiñones, Mark Thomasson, Pablo A. Garcia-ChevesichThis article analyses one of the most complex socio-environmental conflicts in Chile: The Petorca water crisis. Petorca has been experiencing a shortage of water for several years. The cause of these variations has not yet been completely analyzed and the problem has remained unchanged. This paper evaluates hydrology variables to identify, quantify and demonstrate the cause of water shortages in … …American Journal of Environmental Sciences, Vol. 15, Issue 6 · 10 Jan 2020 · 8,421 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStudy and Analysis of Prediction Model for Heart Disease Data Using Machine Learning TechniquesB. Santhi, K. RenukaHeart disease is the number one cause of death for all communities of individuals in advanced countries and a major problem for emerging nations too. Doctors’ availability to care for the general population could not catch up with the present demand for healthcare. So, there is a severe need for a support system to assist save individuals. With novel ML … …Journal of Computer Science, Vol. 16, Issue 3 · 26 Mar 2020 · 7,784 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleData Mining the Adoption Trends: A Bibliometric Analysis of Online Learning in Higher Education (2000-2023)Nirmaljeet Kaur Virk, Syed Ahmed Salman, Amiya BhaumikOver the past two decades, online learning in higher education has developed dramatically, becoming a widespread phenomenon significantly influencing teaching and learning strategies. To further encourage its development, monitoring the research frontiers and gaining insights into the progress of related research is crucial. In this pursuit, the present research used VOS viewer to conduct a bibliometric study on the 661 … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Oct 2024 · 4,836 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleANALYSIS OF INTELLIGENT DATA MINING FOR INFORMATION EXTRACTION USING JAVA AGENT DEVELOPMENT ENVIRONMENT PLATFORMM. Vinoth Kumar, G. Tholkappia Arasu, V. PalanisamyIn this study, the problem of unstructured information extraction has been analyzed and the need for a new Information Extraction algorithm is justified. We propose an Intelligent Information Extraction using Java Agent Development Environment (JADE) to be an optimal solution for intelligent information extraction. This proposed algorithm first assigns intelligent agents to gathering data, which they then classify, match and … …Journal of Computer Science, Vol. 9, Issue 11 · 20 Sep 2013 · 6,767 accessesView PDFCite