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To have an accurate prediction of epileptic seizure and identification of the epileptogenic region is a difficult task. This paper utilizes scalp electroencephalogram to predict an epileptic seizure and detect an epileptogenic region. To detect epileptogenic region, the signals from five different regions of brain are taken into consideration. Forty-four non-linear features are extracted from eight...
In this study we investigate the transferability of trained regression models to estimate solo run L2 cache stress of programs running on multi-core processors. We used machine learning to generate the trained regression models. Transferability of a regression model means how useful is a regression model (which is trained on one architecture) to predict the solo run L2 cache stress on another architecture...
Information on a particular behavioral aspect of a program can be useful to know about the performance bottlenecks and can be utilized further to improve the performance of the system. It is observed that contention for shared L2 cache between programs running on a multi-core processor (MCP) is one of the performance bottlenecks. The utilization of the L2 cache by a program, while sharing it with...
A new simple and sensitive analytical spectrophotometric method is developed for the determination of ascorbic acid reduces methyl viologen to form a stable blue coloured free radical ion. This method has a sensitivity and lower limit detection of 0.1μgml −1 of ascorbic acid (0.1ppm) which is comparable to the flow injection analysis reported earlier. Beer's law is obeyed over the concentration...
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