by application of design spectra in seismic analyses, determination of design spectra for different site conditions, magnitudes, safety levels and damping ratios will improve the accuracy of seismic analysis results. the result of this research provides different design acceleration spectra based on iran earthquakes database for different conditions. for this purpose first a set of 146 records ...

conclusions cgm is a non-invasive technique recently developed for quantitative three-dimensional vectorial analysis of myocardial activity and detection of ischemia and infarction. this technique is clearly more sensitive and more specific than a standard resting 12-lead ecg. results the coronary angiography showed a normal coronary artery in 263 patients (67.4%). a median of cgm score was 1 (...

in this study, an artificial neural network was developed in order to analyze flexible pavement structure anddetermine its critical responses under the influence of standard axle loading. in doing so, more than 10000four-layered flexible pavement sections composed of asphalt concrete layer, base layer, subbase layer, andsubgrade soil were analyzed under the impact of standard axle loading. pave...

This paper investigates customer ordering behavior and compares a particular instance to the standard assumptions of demand planning and control. Experience shows that the performance of these planning processes often do not match what could be expected. Based on a presented case, implications for demand planning performance are inferred. This leads to an analysis tool for diagnosing potential ...

Technological advances have allowed the generation of high-throughput imaging of tissue sections. However, the analysis of these samples is typically still performed manually by one or multiple pathologists. We present a novel statistical model for the automated, quantitative analysis of these images. Our approach requires minimal tuning and allows recapitulation of estimates of staining streng...

This research uses four classification algorithms in standard and boosted forms to predict members of a class for an online community. We compare two performance measures, area under the ROC (Receiver Operating Characteristic) curve (AUC) and accuracy in the standard and boosted forms. The research compares four popular algorithms Bayes, logistic regression, J48 and Nearest Neighbor (NN). The a...