Dynamic measurement error correction is an effective way to improve sensor precision. Dynamic measurement error prediction is an important part of error correction, and support vector machine (SVM) is often used for predicting the dynamic measurement errors of sensors. Traditionally, the SVM parameters were always set manually, which cannot ensure the model's performance. In this paper, a SVM m...

Dynamic measurement error correction is an effective method to improve the sensor 15 precision. Dynamic measurement error prediction is an important part of error correction, support 16 vector machine (SVM) is often used to predicting the dynamic measurement error of sensors. 17 Traditionally, the parameters of SVM were always set by manual, which can not ensure the model’s 18 performance. In t...

in recent years, soft computing methods have generated a large research interest. the synthesis of the fuzzy logic and the evolutionary algorithms is one of these methods. a particular evolutionary algorithm (ea) is differential evolution (de). as for any ea, de algorithm also requires parameters tuning to achieve desirable performance. in this paper tuning the perturbation factor vector of de ...

UNLABELLED It has been long recognized that the primary advantage of imaging the brain with a positron emission tomography using GSO scintillation detectors placed on a spheroid surface is the large solid angle of acceptance for annihilation radiation, which results in improved system sensitivity and image signal-to-noise ratio. In the present study, we investigated spheroid system geometry, de...

BACKGROUND Inflammatory bowel diseases contain two digestive system diseases, ulcerative colitis (UC) and Crohn's disease with unclear causes. The aim of present study was to investigate the therapeutic effects of administration of the Sesame oil (SO) and grape seed oil (GSO) as enema route in rats suffering from experimental acetic acid induced UC. METHODS Eighty male rats were randomly allo...