Strabismus is one of the widespread vision disorders in which eyes are misaligned and asymmetric. Convolutional neural networks (CNNs) properly designed for analyzing images detecting texture patterns. In this paper, we proposed a system that uses deep learning CNN applications automatically classifying strabismus disorder. The includes two main stages: first, detection facial eye segmentation ...

The purpose of this study was to determine fixed cut-off points for forced expiratory volume in one second (FEV(1))/FEV(6) and FEV(6) as an alternative for FEV(1)/forced vital capacity (FVC) and FVC in the detection of obstructive and restrictive spirometric patterns, respectively. For the study, a total of 11,676 spirometric examinations, which took place on Caucasian subjects aged between 20-...

Grapes are one type of fruit that is usually used to make grape juice, jelly, grapes, seed oil and raisins, or be eaten directly. So far, checking for disease in grapes still done manually, by the leaves experts. This method certainly takes a long time considering extent vineyards must evaluated. To solve this problem, it necessary apply detecting disease, so can help common people detect disea...

Mobile change detection systems allow for acquiring image sequences on a route of interest at different time points and display changes on a monitor. For the display of color images, a processing approach is required to enhance details, to reduce lightness/color inconsistencies along each image sequence as well as between corresponding image sequences due to the different illumination condition...

Many applications in computer graphics require fast and robust collision detection algorithms. The problem of simulating motion in an articulated chain has been well studied using both dynamic and kinematics techniques. This paper describes an efficient method for obstacle representation in the configuration space (C-space) for articulated chains. The method is based on the analytical deconstru...