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56 results for “Bayesian Approach”
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Research ArticleOpen accessIn the abstractBayesian Methods for Ranking the Severity of Apnea among PatientsNur Zakiah Mohd Saat, Kamarulzaman Ibrahim, Abdul Aziz JemainProblem statement: Studies on apnea patients are often carried out based on data obtained from the sleep study. This data is quite scarce since high cost is required for conducting the study. Bayesian method is particularly suitable for analyzing limited data as it allows for updating of information by combining the current information with the prior belief. Approach: In this … …American Journal of Applied Sciences, Vol. 7, Issue 2 · 28 Feb 2010 · 7,552 accessesView PDFCite
Research ArticleOpen accessIn the abstractFrom Feature Selection to Building of Bayesian Classifiers: A Network Intrusion Detection PerspectiveKok-Chin Khor, Choo-Yee Ting, Somnuk-Phon AmnuaisukProblem statement: Implementing a single or multiple classifiers that involve a Bayesian Network (BN) is a rising research interest in network intrusion detection domain. Approach: However, little attention has been given to evaluate the performance of BN classifiers before they could be implemented in a real system. In this research, we proposed a novel approach to select important features by … …American Journal of Applied Sciences, Vol. 6, Issue 11 · 30 Nov 2009 · 7,076 accessesView PDFCite
Research ArticleOpen accessIn the abstractProgressive Content-Sensitive Data Retrieval in Sensor NetworksBo Yang, Manohar MareboyanaProblem statement: For a sensor network comprising autonomous and self-organizing data sources, efficient similarity-based search for semantic-rich resources (such as video data) has been considered as a challenging task due to the lack of infrastructures and the multiple limitations (such as band-width, storage and energy). While the past research discussed much on routing protocols for sensor networks, few works have … …Journal of Computer Science, Vol. 5, Issue 7 · 31 Jul 2009 · 6,849 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn The Estimation of Survival Function and Parameter Exponential Life Time DistributionHadeel Salim Al-Kutubi, Noor Akma IbrahimProblem statement: The study and research of survival or reliability or life time belong to the same area of study but they may belong to a different area of application. In survival analysis one can use several life time distribution, exponential distribution with mean life time θ is one of them. To estimate this parameter and survival function we must … …Journal of Mathematics and Statistics, Vol. 5, Issue 2 · 30 Jun 2009 · 8,068 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Hot Strip Rolling Force Prediction using a Bayesian Trained Artificial Neural Network and Analytical ModelsAbdelkrim Moussaoui, Yacine Selaimia, Hadj A. AbbassiThe authors discuss the combination of an Artificial Neural Network (ANN) with analytical models to improve the performance of the prediction model of finishing rolling force in hot strip rolling mill process. The suggested model was implemented using Bayesian Evidence based training algorithm. It was found that the Bayesian Evidence based approach provided a superior and smoother fit to the … …American Journal of Applied Sciences, Vol. 3, Issue 6 · 30 Jun 2006 · 7,140 accessesView PDFCite
Research ArticleOpen accessIn the abstractATLCEP: A New Integrated Design that Encompasses the Safety and Efficacy Objectives of Phase I/II TrialsRevathi Ananthakrishnan, Stephanie Green, Mark Chang et al.Several designs, such as designs to find the optimal biological dose, the Eff-Tox design and seamless Phase I/II designs, have been proposed to evaluate both drug toxicity and efficacy as alternatives to the traditional paradigm of a stepwise drug development approach. Here, we first examine the effect of sample and cohort size on the accuracy of dose selection in early … …Current Research in Biostatistics, Vol. 7, Issue 2 · 7 Apr 2018 · 7,983 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Porcine Mitochondrial Transcription Factor a Gene: Molecular Characterization, Radiation Hybrid Mapping and Genetic Diversity among 12 Pig BreedsTanja Kunej, Xiao-Lin Wu, Jennifer J. Michal et al.Problem statement: Mitochondrial transcription factor A (TFAM) is a nucleus-encoded protein that is a key activator of mitochondrial transcription as well as a major participant in mitochondrial genome replication. Genomic characterization of the porcine TFAM gene is, therefore, necessary to determine its involvement in regulation of fat depots and meat quality traits in pigs. Approach: Genomic DNA sequence was determined … …American Journal of Animal and Veterinary Sciences, Vol. 4, Issue 4 · 31 Dec 2009 · 6,874 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Ozone Concentrations Using Box-Jenkins ARIMA Modeling in MalaysiaWan Rozita Wan Mahiyuddin, Nur Izzah Jamil, Zamtira Seman et al.Time series analysis and forecasting has become a major tool in many applications in air pollution and environmental management fields. Among the most effective approaches for analyzing time series data is the model introduced by Box and Jenkins. In this study, we used Box-Jenkins methodology to build Autoregressive Integrated Moving Average (ARIMA) model on the average of monthly ozone data … …American Journal of Environmental Sciences, Vol. 14, Issue 3 · 25 May 2018 · 8,946 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdaptive Channel Equalization Using Multiplicative Neural Network for Rayleigh Faded ChannelP. Sivakumar, N. Chithra, S. N. Sivanandam, M. RajaramProblem statement: Digital transmission over band-limited communication channel largely suffers from ISIS and various noise sources. The presence of ISI and noise causes bit errors in the received signal. Equalization is necessary at the receiver to overcome these channel impairment to recover the original transmitted sequence. Traditionally equalization is considered as equivalent to inverse filtering and implemented using linear-perform under … …Journal of Computer Science, Vol. 7, Issue 11 · 18 Aug 2011 · 6,938 accessesView PDFCite
Research ArticleOpen accessIn the abstractEarthquake Risk Management Strategy Plan Using Nonparametric Estimation of Hazard RateAflaton Amiri, Ramin TabatabaeiEarthquake risk is defined as the product of hazard and vulnerability studies. The main aims of earthquake risk management are to make plans and apply those for reducing human losses and protect properties from earthquake hazards. Natural risk managers are studying to identify and manage the risk from an earthquake for highly populated urban areas. They want to put some … …American Journal of Applied Sciences, Vol. 5, Issue 5 · 31 May 2008 · 6,745 accessesView PDFCite