Breast cancer is a fairly diverse illness that affects large percentage of women in the west. A mammogram an X-ray-based evaluation woman's breasts to see if she has cancer. One earliest prescreening diagnostic procedures for breast mammography. It well known recovery rates are significantly increased by early identification. Mammogram analysis typically delegated skilled radiologists at medica...

The function of a protein is of great interest in the cutting-edge research of biological mechanisms, disease development and drug/target discovery. Besides experimental explorations, a variety of computational methods have been designed to predict protein function. Among these in silico methods, the prediction of BLAST is based on protein sequence similarity, while that of machine learning is ...

تاسياقلما فلتخم ىلع ءوضلا ضعب ءاقلإ تم ةعجارلما هذه يف دضتسلماب دضلا تلاعافت ىلع دمتعت يتلا ةموسولما ةيعانلما ةيعانلما و ،ةيقلأتلا ةيعانلما تاسايقلما لمشت يتلاو Ag-Ab هذه فيرعت تم .)EIA, ELISA( ةييمزنلإا ةيعانلما و ،ةيعاعشلا و تلاعافتلا أدبلم رصتخم فصو عم لًاوأ ةثلاثلا تاسياقلما اهروطت حيضوتل يخيراتلا جردتلا بسح تشقون مث ،تاقيبطتلا امك .لماك لكشب ةيلآ ةينقت ىلإ ةياهنلا يف داق يذلا يجيردتلا ةخطلل...

Semantic segmentation of a scene aims to give meaning to the scene by dividing it into meaningful — semantic — parts. Understanding the scene is of great interest for all kinds of autonomous systems, but manual annotation is simply too time consuming, which is why there is a need for an alternative approach. This thesis investigates the possibility of automatically segmenting 3D-models of urban...

Address: Department of Gynecology and Obstetrics, Montasariya Infertility Center, Mashhad University of Medical Sciences, Mashhad, Iran Tel: +98 511 8534021 Email: [email protected] همدقم : ناـمز رد نز بارطـضا حطـس لـثم يرـيغتم لـماوع هب هتسباو دناوت يم يروراب كمك نامرد تيقفوم دشاب نامرد . راب نانز بارطضا و يگدرسفا ريثات يبايزرا يارب هعلاطم نيا يروراـب كـمك ناـمرد دمايپ رب رو تسا هدش يحارط ...

Personal monitoring systems require sampling and processing on multiple streams of physiological signals to extract meaningful information. These systems require a large number of digital signal processing and machine learning kernels which typically require significant amounts of power. However, to be used in a wearable environment, the processing system needs to be low-power, real-time, and l...

Indoor Positioning System aims at locating objects inside buildings wirelessly, and have huge benefit for indoor location-aware mobile application. To explore this immature system design, we choose UJIndoorLoc database as our data set, use PCA for feature selection, and build prediction models based on decision tree, gradient boosting, kNN and SVM, respectively. Our experiment results indicate ...