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84 results for “predictive analysis”
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Research ArticleOpen accessIn the abstractModel Comparison for the Prediction of Stock Prices in the NYSEVictoria Switlyk, Junfeng ShangThe stock market is an integral part of investments as well as the economy. The prediction of stock prices is an exciting and challenging problem that has been considered by many due to the complexity and noise within the market and to the potential profit that can be yielded from accurate predictions. We aim to construct and compare models used … …Journal of Mathematics and Statistics, Vol. 15, Issue 1 · 26 Sep 2019 · 7,480 accessesView PDFCite
Research ArticleOpen accessIn the abstractDifferential Expression of Cellular and Exosomal MicroRNA Isolated from Oral Cancer Cells and their Resistance to ChemotherapyBrady Petersen, Carl Yu, Samuel Hutchings et al.MicroRNAs are abundant small non-coding RNA with a variety of known functions, including transcriptional activation and inhibition. Recent evidence has suggested that microRNA expression may influence the responsiveness of some cancers to chemotherapy, including liver and lung cancers. Some evidence has now suggested that specific microRNAs, such as miR-21, miR-155, and miR-375, may influence oral cancer responsiveness to chemotherapy – … …Current Research in Dentistry, Vol. 13, Issue 1 · 29 Jul 2022 · 5,906 accessesView PDFCite
Research ArticleOpen accessIn the abstractPoly-Species Phytocenoses for Ecosystem Restoration of Degraded Soil CoversAlmabek B. Nugmanov, Sergey V. Mamikhin, Khusain Kh. Valiev et al.Agroecological studies are based on the concept that, by understanding ecological processes, it is possible to manage agroecosystems for more sustainable production of more biomass and, thus, protection of natural resources. Many studies in the field of agroecology show that some farming methods can improve soil quality and restore agroecosystems by increasing plant biodiversity. Functional characteristics of plants for the … …OnLine Journal of Biological Sciences, Vol. 22, Issue 3 · 22 Jul 2022 · 5,716 accessesView PDFCite
Research ArticleOpen accessIn the abstractWhether Gaussian Nucleus Entropy Helps? Case in Point is Prediction of Number of Cesarean BirthsRamalingam ShanmugamIn this article, entropy in the collected data about the Gaussian population mean is traced from its embryonic stage as new data are periodically collected. The traditional Shannon's entropy has shortcomings from the data analytics point of view and it creates a necessity to refine the Shannon's entropy. Its refined version is named Gaussian Nucleus Entropy in this article. Advantages … …Current Research in Biostatistics, Vol. 6, Issue 2 · 31 Dec 2016 · 8,060 accessesView PDFCite
Research ArticleOpen accessIn the abstractPrediction of Days After Anthesis of Developing Tomato (Solanum lycopersicum) Fruit from Blossom-End Changes in ColorTiznado-Hernández Martín Ernesto, Delia Moreno-Velázquez, Angel Javier Ojeda-Contreras, Andrés Ochoa-MezaThe development of mathematical models to predict the physiological status of a developing fruit can be a useful tool to reduce the variation in fruit response to postharvest treatments. The objective of this study was to develop a mathematical model to predict Days After Anthesis (DAA) in tomato fruit from changes in the blossom end color. Around 160 tomato flowers … …American Journal of Agricultural and Biological Sciences, Vol. 8, Issue 3 · 4 Sep 2013 · 8,107 accessesView PDFCite
Research ArticleOpen accessIn the abstractDurian Husk Properties and its Heating Value EquationPatomsok WilaiponProblem statement: Agricultural residue seems to be one of the most promising energy resources for developing countries. Among the other fruits, durian is a popular one for Thai people. Therefore, a large amount of durian husk is left at the shops or factories. This study was aimed to investigate the characteristics and heating value of durian husk and to develop … …American Journal of Applied Sciences, Vol. 8, Issue 9 · 1 Aug 2011 · 7,865 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Adaptive Predictive Control to a Newborn IncubatorMed Aymen Zermani, Elyes Feki, Abdelkader MamiProblem statement: This study presents an application of Indirect Adaptive Generalized Predictive Control (IAGPC) of an incubator for newborn, in order to improve the performance of temperature control. Approach: Analysis of physical phenomena of incubator was involved together knowledge of the dynamic behavior. Incubator was identified by means of Recursive Least Square (RLS) technique associated with a projection of the … …American Journal of Engineering and Applied Sciences, Vol. 4, Issue 2 · 13 Jul 2011 · 8,247 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Performance Metric for Building an Optimized ClassifierMohammad Hossin, Md Nasir Sulaiman, Aida Mustapha, Norwati MustaphaProblem statement: Typically, the accuracy metric is often applied for optimizing the heuristic or stochastic classification models. However, the use of accuracy metric might lead the searching process to the sub-optimal solutions due to its less discriminating values and it is also not robust to the changes of class distribution. Approach: To solve these detrimental effects, we propose a novel … …Journal of Computer Science, Vol. 7, Issue 4 · 4 Apr 2011 · 8,480 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Application of Multivariate Analysis in Modeling Students Placement in Nigerian Higher InstitutionsAli Idrisa Gambo, Mohammed Waziri YusufProblem statement: Students’ placement into courses of study in most (if not all) tertiary institutions in Nigeria had long been a problematic exercise. Most students get placed into courses of study they are ill suited to and then for which they are ill prepared. Approach: This research focused on the polytechnic, taking the newest federal polytechnic as a case study, … …Journal of Mathematics and Statistics, Vol. 6, Issue 3 · 30 Sep 2010 · 7,293 accessesView PDFCite
Research ArticleOpen accessIn the abstractConsumer Choice Prediction: Artificial Neural Networks versus Logistic ModelsChristopher Gan, Visit Limsombunchai, Mike Clemes, Amy WengConventional econometric models, such as discriminant analysis and logistic regression have been used to predict consumer choice. However, in recent years, there has been a growing interest in applying artificial neural networks (ANN) to analyse consumer behaviour and to model the consumer decision-making process. The purpose of this paper is to empirically compare the predictive power of the probability neural … …Journal of Social Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 8,444 accessesView PDFCite