background and aims. cone-beam computed tomography (cbct) is an imaging system which has many advantages over computed tomography (ct). in ct scan, hounsfield unit (hu) is proportional to the degree of x-ray attenuation by the tissue. in cbct, the degree of x-ray attenuation is shown by gray scale (voxel value). the aim of the present study was to investigate the relationship between gray scale...

farming organic vegetable and crops have grown as a market desiring commodity. weed control in farms has been costly and laborous and it has always been hard to achieve a proper weeding. a few chemicals are commonly applied in organic farming. thermal weeding with flame burners seems a good solution; however, it has its own drawbacks, such as; damaging the main crops, low performance, being inf...

conclusion gray scale sonography in combination with doppler sonography could be a trustworthy technique in differentiating metastatic lymph nodes from reactive ones. although, circulation pattern had a higher diagnostic accuracy in the present study, combination of sonographic characteristics could be more beneficial in differentiating metastatic cervical nodes from reactive ones. results the ...

because of superficial location and not being covered by boney structure, thyroid is the ideal organ for 2-dimensional gray scale ultrasonography. availability of relatively low cost equipment and ever increasing number of endocrinologists with expertise in thyroid ultrasound has made it an integral part of thyroid practice in the office of endocrinologists. in particular, the current recommend...

in recent years, various time series models have been proposed for financial markets forecasting. in each case, the accuracy of time series forecasting models are fundamental to make decision and hence the research for improving the effectiveness of forecasting models have been curried on. many researchers have compared different time series models together in order to determine more efficient ...

This paper presents a new combined forecasting method that is guided by the soft set theory (CFBSS) to predict business failures with different sample sizes. The proposed method combines both qualitative analysis and quantitative analysis to improve forecasting performance. We considered an expert system (ES), logistic regression (LR), and support vector machine (SVM) as forecasting components ...

Through a series of studies, involving over 400 companies over 20 years, the University of Tennessee Sales Forecasting Research Team has developed a vision of world-class forecasting. This presentation will articulate that vision, and participants will leave with a framework for benchmarking their own forecasting processes. Specifically, attendees will learn: • What forecasting excellence consi...

three combination methods commonly used in tourism forecasting are the simple average method, the variance-covariance method and the discounted msfe method. these methods assign the different weights that can not change at each time point to each individual forecasting model. in this study, we introduce the iowga operator combination method which can overcome the defect of previous three combin...

An organization needs to develop a forecasting system involving several approaches to predicting uncertain events. Such forecasting systems require the development of expertise in identifying forecasting problems, applying a range of forecasting methods, selecting appropriate methods for each problem, and evaluating and refining forecasting methods over time. It is also important to have strong...