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86 articles for “order prediction”
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Research ArticleOpen accessIn the abstractA Single Core Hardware Module of a Data Compression Scheme Using Prediction by Partial Matching TechniqueJubayer Jalil, Md. Mamun, Mohd. Marufuzzaman, Hafizah HusainProblem statement: Compression is useful because it helps reduce the consumption of expensive resources, such as hard disk space or transmission bandwidth. For effective data compression, the compression algorithm must be able to predict future data accurately in order to build a good probabilistic model for compression. Lossless compression is essential in cases where it is important that the original … …American Journal of Applied Sciences, Vol. 8, Issue 11 · 7 Oct 2011 · 7,255 accessesView PDFCite
Research ArticleOpen accessIn the abstractImage Compression using Space Adaptive Lifting SchemeRamu Satyabama, AnnaduraiProblem statement: Digital images play an important role both in daily life applications as well as in areas of research and technology. Due to the increasing traffic caused by multimedia information and digitized form of representation of images; image compression has become a necessity. Approach: Wavelet transform has demonstrated excellent image compression performance. New algorithms based on Lifting style implementation … …Journal of Computer Science, Vol. 7, Issue 11 · 29 Aug 2011 · 7,143 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 · 7,856 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Efficient Weather Forecasting System using Radial Basis Function Neural NetworkTiruvenkadam Santhanam, A. C. SubhajiniProblem statement: Accurate weather forecasting plays a vital role for planning day to day activities. Neural network has been use in numerous meteorological applications including weather forecasting. Approach: A neural network model has been developed for weather forecasting, based on various factors obtained from meteorological experts. This study evaluates the performance of Radial Basis Function (RBF) with Back Propagation (BPN) … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 7,754 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredictor Factors of Telecentres Outcome from the Users Perspectives in Rural CommunitiesMohammad Badsar, Bahaman Abu Samah, Musa Abu Hassan et al.Problem statement: Information and Communication Technologies (ICTs) in developing countries is considered as a fundamental strategy of community development. In this regard, the government of Malaysia and developing agencies considered telecentres as a tool for providing the potential and benefits of ICTs for rural and remote community in order to make value and offer equal ICT access to all Malaysians … …American Journal of Applied Sciences, Vol. 8, Issue 6 · 13 Jun 2011 · 7,441 accessesView PDFCite
Research ArticleOpen accessIn the abstractWeight of Evidence Allocates Mineral Depositional ZonesAbdullah A. Bokhari, Guang Dao HU, Rani FouadProblem statement: Yunnan province in general and Pulang area in particular is geological rich area which prevents field study in multi locations due to high risk outcrop. Approach: New technology such as Geographic Information System (GIS) and an ArcView extension module Arcweight of evidence (WofE) became very handy to provide safety for researchers and allow organization to control their budget. … …American Journal of Environmental Sciences, Vol. 6, Issue 6 · 31 Dec 2010 · 6,981 accessesView PDFCite
Research ArticleOpen accessIn the abstractMoisture Content Prediction of Dried Longan Aril from Dielectric Constant Using Multilayer Perceptrons and Support Vector RegressionSanong Amaroek, Nipon Theera-Umpon, Kittichai Wantanajittikul, Sansanee AuephanwiriyakulProblem statement: Estimation of moisture contents of dried food products from their dielectric constants was an important step in moisture measurement systems. The regression models that provide good prediction performance are desirable. Approach: The Multilayer Perceptrons (MLP) and Support Vector Regression (SVR) were applied in this research to predict the moisture contents of dried longan arils from their dielectric constants. … …American Journal of Applied Sciences, Vol. 7, Issue 10 · 31 Oct 2010 · 7,666 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Two-Dimensional Wave Prediction Model Along the Best Track of Typhoon Linda 1997Worachat Wannawong, Usa W. Humphries, Prungchan Wongwises et al.Problem statement: A two-dimensional wave prediction model along the best track of Typhoon Linda 1997 was interested to study the impact of typhoon wind-wave characteristics. The dynamical wave model with deep water condition was used to predict the wave height (Hs) of Typhoon Linda before and after entering into the Gulf of Thailand (GoT). Approach: The standard one-way nested grid … …American Journal of Environmental Sciences, Vol. 6, Issue 3 · 30 Jun 2010 · 7,244 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting the Severity of Breast Masses with Ensemble of Bayesian ClassifiersAlaa M. ElsayadProblem statement: This study evaluated two different Bayesian classifiers; tree augmented Naive Bayes and Markov blanket estimation networks in order to build an ensemble model for prediction the severity of breast masses. The objective of the proposed algorithm was to help physicians in their decisions to perform a breast biopsy on a suspicious lesion seen in a mammogram image or … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 7,299 accessesView PDFCite
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