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Research ArticleOpen accessAll words, across the recordComparison of Improved Semi-Automated Segmentation Technique with Manual Segmentation: Data from the Osteoarthritis InitiativeHong Seng Gan, Khairil Amir SayutiManual segmentation is the standard procedure in osteoarthritis study. However, this method is infamous for being excessive, time consuming and exhaustive. In this study, we overcame the problem of excessive expert interaction reported in manual segmentation by developing a semi-automated random walks technique with computer-aided labelling system. To minimize expert interaction, non-cartilage seeds were generated by using computer. Then, random … …American Journal of Applied Sciences, Vol. 13, Issue 11 · 24 Oct 2016 · 7,363 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA STUDY ON NEW PRODUCT DEMAND FORECASTING BASED ON BASS DIFFUSION MODELZuhaimy Ismail, Noratikah AbuA forecasting model of new product demand has been developed and applied to forecast new vehicle demand in Malaysia. Since the publication of the Bass model in 1969, innovation of new diffusion theory has sparked considerable research among marketing science scholars, operational researchers and mathematicians. This study considers the Bass Model for forecasting the diffusion of new products or an … …Journal of Mathematics and Statistics, Vol. 9, Issue 2 · 29 Apr 2013 · 7,807 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn Efficient Prediction of Missing Itemset in Shopping CartV. Palanisamy, M. NirmalaMany researches has focused mainly on how to expedite the search for frequently co-occurring groups of items in &#34shopping cart&#34 and less attention has been paid to the methods that exploit these &#34frequent itemsets&#34 for prediction purposes. This study contributes to this task by proposing a technique that uses the partial information about the contents of a shopping cart for … …Journal of Computer Science, Vol. 9, Issue 1 · 8 Feb 2013 · 7,039 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Drives and Control Integrated Time-Domain Dynamic Analysis and Modeling Approach Applied To Ultra-Precision Machine ToolsTianjian Li, Shijin Chen, Haijun Zhang, Kai ChengProblem statement: Machines dynamic performance depends not only upon the mechanical structure and components but also the drives and control system. However, the design of the machines is still at the nascent stage by working on an individual machine basis, hence lacks generic scientific approach and design guideline. Approach: Using computer models integrated drives and control system to predict the … …Current Research in Nanotechnology, Vol. 2, Issue 1 · 29 Jul 2011 · 8,088 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordClassifying Single Trail Electroencephalogram Using Gaussian Smoothened Fast Hartley Transform for Brain Computer Interface during Motor ImageryV. B. Deepa, P. Thangaraj, S. ChitraProblem statement: Brain-Computer Interface (BCI) is a emerging research area which translates the brain signals for any motor related actions into computer understandable signals by capturing the signal, processing the signal and classifying the motor imagery. This area of work finds various applications in neuroprosthetics. Mental activity leads to changes of electrophysiological signals like the Electroencephalogram (EEG) or Electrocorticogram (ECoG). … …Journal of Computer Science, Vol. 7, Issue 5 · 7 May 2011 · 6,658 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordForecasting Financial Market Annual Performance Measures: Further Evidence+Edward J. Lusk, Michael Halperin, Atanas Tetikov, Niya StefanovaProblem statement: Forecasting is simple; producing accurate forecasts is the essential task. Experience suggests that financial managers often assume that because models used in forecasting are appropriate that they are effective. This study addresses this assumption. Effective is taken to mean forecasts where the Absolute Percentage Error (APE) is equal to or less than 10%. It has been reported that … …American Journal of Economics and Business Administration, Vol. 2, Issue 3 · 30 Sep 2010 · 7,526 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPredicting 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 accessAll words, across the recordThe Performance of Maximum Likelihood, Spectral Angle Mapper, Neural Network and Decision Tree Classifiers in Hyperspectral Image AnalysisHelmi Zulhaidi Mohd Shafri, Affendi Suhaili, Shattri MansorSeveral classification algorithms for pattern recognition had been tested in the mapping of tropical forest cover using airborne hyperspectral data. Results from the use of Maximum Likelihood (ML), Spectral Angle Mapper (SAM), Artificial Neural Network (ANN) and Decision Tree (DT) classifiers were compared and evaluated. It was found that ML performed the best followed by ANN, DT and SAM with … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 142,381 accessesView PDFCite