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91 articles for “Field Data Based Model”
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Research ArticleOpen accessIn the abstractThe Impact Dimensions of Service Quality on the Acceptance Usage of Internet Banking Information SystemsLaith T. KhraisNowadays, banking transactions are one of the most important daily services that fulfill a society needs. The broadly growth of information technology usage pushed banking institutions to embrace advanced technology to launch new electronic services. Internet technology has influenced the banking practicability because of its capability to enhance performance of financial operations. A major concern of Internet banking systems is … …American Journal of Applied Sciences, Vol. 15, Issue 4 · 7 Apr 2018 · 8,377 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnglish Sentiment Classification using Only the Sentiment Lexicons with a JOHNSON Coefficient in a Parallel Network EnvironmentVo Ngoc Phu, Vo Thi Ngoc TranSentiment classification is significant in everyday life, such as in political activities, commodity production and commercial activities. In this survey, we have proposed a new model for Big Data sentiment classification. We use many sentiment lexicons of our basis English Sentiment Dictionary (bESD) to classify 5,000,000 documents including 2,500,000 positive and 2,500,000 negative of our testing data set in English. … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 1 · 22 Dec 2017 · 7,331 accessesView PDFCite
EditorialOpen accessIn the abstractIs Rerum® the New Coley's Vaccine?Marco RuggieroColey's Vaccine and Cancer Immunotherapy Dr. William B. Coley is credited for having been the first to translate the observation of an association between bacterial infections, high fever and cancer remission into a successful cancer treatment. However, it is worth noting that such an association dates back to at least one century before Coley's times; as Wiemann and Starnes from … …American Journal of Immunology, Vol. 13, Issue 2 · 31 May 2017 · 12,285 accessesView PDFCite
Research ArticleOpen accessIn the abstractPlane Versus Elastic Wave AVO Anisotropic Synthetic Modeling in Derby Field, Southeastern Niger DeltaChukwuemeka Ngozi Ehirim, Nnamdi Ogbonna ChikezieAVO based Zoeppritz’s plane wave and elastic spherical wave anisotropic synthetic modelling have been investigated in Derby field, Southeastern Niger delta. The objective of the study is to investigate the influence of anisotropy on plane and elastic wave AVO synthetics modeling over shale-gas sand horizons in the field. Well log data was check shot corrected and correlated with pre-stack data … …Current Research in Geoscience, Vol. 7, Issue 1 · 6 May 2017 · 7,901 accessesView PDFCite
Research ArticleOpen accessIn the abstractAccessing the Appropriateness of a Spatial Regression Using Generalized (h1h2-)Slepian Random FieldWayan Somayasa, Jamhir Safani, La Ode Ngkoimani, Muhamad Zamrun F.In this study we derived asymptotic goodness-of-fit test (model check) for spatial regression where the critical region as well as the p-value of the tests are approximated based on the distribution of a type of the integral functional of the generalized (h1h2-)-Slepian field and the set-indexed Gaussian white noise. Such random fields are obtained as the limit process of the … …Journal of Mathematics and Statistics, Vol. 13, Issue 2 · 2 May 2017 · 7,364 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal Subsurface Appraisal: A Key Link to the Success of Development Projects-Few ExamplesVirendra Singh, Ivan Yemez, Elena Izaguirre, Alvaro RaceroDuring exploration and production phases, the life of a hydrocarbon field can be distinguished by five main stages: Exploration, appraisal, development, production and abandonment. Of particular interest is the appraisal stage, where billions of dollars are spent across the oil and gas industry on data gathering activities with a view to reducing subsurface uncertainties towards optimizing reservoir development and management. … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 13 Jan 2017 · 8,522 accessesView PDFCite
Research ArticleOpen accessIn the abstractInvestigation of Chlorophyll-an in a Small Reservoir by Landsat 7 ImageryMaryam Ghashghaie, Kaveh Ostad-Ali-Askari, Saeid EslamianChlorophyll-a (chla) is a source of water pollution. Monitoring the quality of water in reservoirs is necessary to take any action for protecting the water quality. Traditional methods of sampling are usually costly and time consuming. Also they need skillful labors and some areas are out of reach or sampling at those areas is dangerous. Remote sensing technology could solve … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 21 Apr 2018 · 8,330 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,761 accessesView PDFCite
InvestigationOpen accessIn the abstractBackpropagation Vs. Radial Basis Function Neural Model: Rainfall Intensity Classification For Flood Prediction Using Meteorology DataSoo See Chai, Wei Keat Wong, Kok Luong GohRainfall is one of the important weather variables that vary in space and time. High mean daily rainfall (>30 mm) has a high possibility of resulting in flood. Accurate prediction of this variable would save human lives and properties. Soft computing methods have been widely applied in this field. Among the various soft computing methods, Artificial Neural Network (ANN) is … …Journal of Computer Science, Vol. 12, Issue 4 · 15 Apr 2016 · 8,710 accessesView PDFCite
Research ArticleOpen accessIn the abstractEXPLORING USERS' ATTITUDES AND INTENTIONS TOWARD THE ADOPTION OF CLOUD COMPUTING IN SAUDI ARABIA: AN EMPIRICAL INVESTIGATIONMutlaq B. AlotaibiOver the past few years, cloud computing has evolved as one of the major advances in the field of Information Technology (IT) utilizing third-party services. Therefore, trust in cloud vendors as well as the determination of potential risks, such as privacy and security issues, are crucial for ensuring the successful adoption of an appropriate cloud. Prior research have addressed the … …Journal of Computer Science, Vol. 10, Issue 11 · 20 Dec 2014 · 9,346 accessesView PDFCite