نتایج جستجو برای: target classification
تعداد نتایج: 874715 فیلتر نتایج به سال:
ä»è¡æé¥ææµ·éæ°æ®ä¸å¯¹å°å½¢å°è²ç¹å¾è¿è¡è¯å«ååç±»ï¼æ¯è¡æç§å¦ç 究ä¸çä¸é¡¹éè¦åºç¡å·¥ä½ãæ¬æ综述äºèªå®æ½æçå深空æ¢æµä»»å¡ä»¥æ¥ï¼å½é ãå½å éç¨è¡æå½±åæ°æ®è¿è¡å°å½¢å°è²è¯å«ä¸åç±»ææ¯çç 究è¿å±ãé¦å ï¼ä»æçãç«æ以åå ¶ä»è¡ææ¢æµä»»å¡3个æ¹é¢ï¼å¯¹ç¸å ³çæ¢æµä»»å¡åè·åçå½±å...
In this paper, target differentiation based on pattern of data which are obtained by a set of two ultrasonic sensors is considered. A neural network based target classifier is applied to these data to categorize the data of each sensor. Then the results are fused together by Dempster–Shafer theory (DST) and Dezert–Smarandache theory (DSmT) to make final decision. The Generalized Aggregated Unce...
Since the improvement in Anti Radar Material technology and stealth technology grows, there are immense counter measures that have opened to deny such technologies for classification to the adversary. At the same time it is observed that radar is continuously tracking the air target. This track data represents the kinematics which can be efficiently manipulated for effective classification with...
Background: One common symptom of diabetes is diabetic retinopathy, if not timely diagnosed and treated, leads to blindness. Retinal image analysis has been currently adopted to diagnose retinopathy. In this study, a model of hierarchical self-organized neural networks has been presented for the detection and classification of retina in diabetic patients. Methods: This study is a retrospective...
Real world prediction problems often involve the simultaneous prediction of multiple target variables using the same set of predictive variables. When the target variables are binary, the prediction task is called multi-label classification while when the target variables are real-valued the task is called multi-target regression. Although multi-label classification can be seen as a specific ca...
نمودار تعداد نتایج جستجو در هر سال
با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید