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87 results for “order prediction”
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Research ArticleOpen accessIn the abstractA Constitutive Model for Multi-Line Simulation of Granular Material Behavior Using Multi-Plane PatternS. A. Sadrnejad, A. Saedi Daryan, M. ZiaeiProblem statement: Improper understanding of material behavior prevents the efficient and correct usage of available materials and consequently, increases the construction and maintenance costs and even unsuitable construction. Considering the necessity of exact investigation about material behavior, several researches have been carried out in this field but the majority of these researches did not propose a general method for prediction … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,661 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Gold Prices Using Multiple Linear Regression MethodZ. Ismail, A. Yahya, A. ShabriProblem statement: Forecasting is a function in management to assist decision making. It is also described as the process of estimation in unknown future situations. In a more general term it is commonly known as prediction which refers to estimation of time series or longitudinal type data. Gold is a precious yellow commodity once used as money. It was made … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 11,091 accessesView PDFCite
Research ArticleOpen accessIn the abstractProposal for the Development of Adverse Drug Reaction Prediction ModelMuaed J. Alomar, Anas A. Hourani, Syed A. SulaimanInformation technology, which uses the computer for data processing and decision-making, has invaded all kinds of sciences. Health informatics is one of these important areas. The Objective of this study is to develop a mathematical model that calculates the percentage of ADR occurrence using the data available from primary literature for a specific medication. A mathematical model was developed to … …American Journal of Pharmacology and Toxicology, Vol. 3, Issue 2 · 30 Jun 2008 · 7,394 accessesView PDFCite
Research ArticleOpen accessIn the abstractFine Needle Aspiration Cytology Evaluation for Classifying Breast Cancer Using Artificial Neural NetworkNor Ashidi Mat Isa, Esugasini Subramaniam, Mohd Yusoff Mashor, Nor Hayati OthmanThirteen cytology of fine needle aspiration image (i.e. cellularity, background information, cohesiveness, significant stromal component, clump thickness, nuclear membrane, bare nuclei, normal nuclei, mitosis, nucleus stain, uniformity of cell, fragility and number of cells in cluster) are evaluated their possibility to be used as input data for artificial neural network in order to classify the breast precancerous cases into four … …American Journal of Applied Sciences, Vol. 4, Issue 12 · 31 Dec 2007 · 7,152 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Analysis of Call Admission Control in WCDMA Systems with Mobility based Interference Margin ReservationS. Malarkkan, V. C. RavichandranThis study presents performance of call admission control and resource reservation schemes based on the mobility of the users in WCDMA cellular systems. In order to guarantee the handoff dropping probability, the mobility of the user is predicted based on a realistic mobility model. The mobility prediction scheme used in this study is used to estimate the set of candidate … …Journal of Computer Science, Vol. 2, Issue 10 · 31 Oct 2006 · 6,384 accessesView PDFCite
Research ArticleOpen accessIn the abstractPower Prediction Model for Milling 618 Stainless Steel Using Response Surface MethodologyK. Kadirgama, K. A. Abou-El-HosseinThis study discussed the development of the first and second order power prediction model for milling 618 stainless steel with coated carbides cutting tool. The first and second order model has been developed by using response surface methodology with 4 factors. The surface methodology has been analysis by using statistical software Minitab. From the model the equation that relates the … …American Journal of Applied Sciences, Vol. 2, Issue 7 · 31 Jul 2005 · 7,085 accessesView PDFCite
Research ArticleOpen accessIn the abstractOrigin Detection of Illicium Verum Hook. f. Based on Sensor Array OptimizationPang Tao, Lv Lu, Chen Xiaoyan et al.In order to improve the identification ability of electronic nosetostar anise from different areas, this study uses sensor array optimization, Particle Swarm Optimization (PSO) and Support Vector Machine (SVM) to effectively improve the discrimination and prediction ability of electronic nose. Firstly, the initial sensor arrays are selected according to the aroma components of star anise. On the basis of extracting … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 1 · 21 Jan 2022 · 6,434 accessesView PDFCite
Review ArticleOpen accessIn the abstractThe Influence of Bedding Application in Feedlot Cattle: A ReviewDathan Thomas Smerchek, Zachary Kidd Foster SmithA sizable portion of cattle on feed in the United States are fed in the Upper Midwest and Northern Plains region where temperatures routinely fall below freezing during late fall, winter and early spring. The persistent cold temperatures coupled with snow accumulation, wind, moisture and ice can cause undesirable pen conditions for confined cattle, ultimately resulting in decreased insulative capacity … …American Journal of Animal and Veterinary Sciences, Vol. 16, Issue 1 · 23 Feb 2021 · 6,718 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Neuro-Fuzzy Techniques for Solar RadiationW. A. Rahoma, U. Ali Rahoma, A. H. HassanProblem statement: The prediction is very useful in solar energy applications because it permits to estimate solar data for locations where measurements are not available. The developed artificial intelligence models predict the solar radiation time series more effectively compared to the conventional procedures based on the clearness index. Approach: The forecasting ability of some models could be further enhanced with … …Journal of Computer Science, Vol. 7, Issue 10 · 11 Aug 2011 · 7,077 accessesView PDFCite
Research ArticleOpen accessIn the abstractModelisation of Nitrification under Inhibited Environment by Moving Bed Bio-Film Reactor TechniquePham Thi Hong Duc, Le Van Cat, Jean-Luc VaselProblem statement: Nitrification by Moving Bed Biofilm Reactor (MBBR) involves physical, chemical and biological processes to remove toxic ammonia for aquaculture that are governed by a variety of parameters, like substrate and dissolved oxygen concentrations, organic matters, temperature, pH, alkalinity and turbulence level, which impact negatively or positively on nitrification kinetics. Approach: The situation becomes more serious as the reaction … …American Journal of Environmental Sciences, Vol. 6, Issue 6 · 31 Dec 2010 · 6,946 accessesView PDFCite