In the modern Digital Era, Data Mining is the powerful area for analyzing the large data sets to get unexpected relationships (models). The analysis of statistical data on sequential data points measured at regular time interval over a period of time is time series analysis. Time series analysis is used in predicting future occurrence of a time based event. One of the main areas where time seri...

This paper suggests a method of applying convolutional neural network (CNN) to realtime moving-vehicle image dataset, and experiments its performances. Compared to Support vector machine (SVM), the CNN led to a 13.59% increase in performance.

This work aimed to investigate the potential of remote sensing to provide information on the spatial distribution of habitats in the Alpine region. Specifically, the performances of different classification methods, namely Maximum Likelihood (ML), Decision Tree (DT) and Support Vector Machine (SVM) were investigated for land-cover mapping using multitemporal RapidEye data. Results showed that S...

Early warning systems are critical in providing emergency response in the event of unexpected hazards. Cheap cameras and improvements in memory and computing power have enabled the design of fire detectors using video surveillance systems. This is critical in scenarios where traditional smoke detectors cannot be installed. In such scenarios, it has been observed that the smoke is visible well b...

Background: Multiple sclerosis (MS) is a degenerative inflammatory disease which is most commonly diagnosed by magnetic resonance imaging (MRI). But, since the MRI device uses of a magnetic field, if there are metal objects in the patient's body, it can disrupt the health of the patient, the functioning of the MRI, and distortion in the images. Due to limitations of using MRI device, screening ...

The design preciseness, the material used in productivity plus the time are coming the most important factors in motor manufacturing. Consequently, the use of interior permanent magnet synchronous machines (IPM) in hybrid vehicle seemed to be the best demands. However, and due to the earth magnet materials increasing prices such as Dysprosium and Neodymium, automobile manufacturers have looked ...

ML U as a measure of language proficiency A rough solution to the problem of assessing developing proficiency is to consider the development of the so-called mean length of utterance (MLU) for a certain learner, cycle by cycle. This measure, although it has many problems (see below) has often been used to give a very rough idea both of differences in proficiency and of the extent to which acqui...

As the salaries of baseball players continue to skyrocket and with the ever-increasing popularity of fantasy baseball, the desire for more accurate predictions of players’ future performances is building both for baseball executives and baseball fans. While most existing work in performance prediction uses purely statistical methods, this thesis showcases research in combining multiple machine ...

For most of the applications that make use of a vector coprocessor, its resources are not highly utilized due to the lack of sustained data parallelism, which often occurs due to insufficient vector parallelism or vector-length variations in dynamic environments. The motivation of our work stems from (a) the omnipresence of vector operations in high-performance scientific and emerging embedded ...

Despite their dominance of high-end computing (HEC) through the 1980’s, vector systems have been gradually replaced by microprocessorbased systems. However, while peak performance of microprocessor-based systems has grown exponentially, the gradual slide in sustained performance delivered to scientific applications has become a growing concern among HEC users. Recently, the Earth Simulator and ...