[PDF] Top 20 Determinantes sociales de la salud predictores de la condición física saludable en escolares entre 12 y 18 años en la ciudad de Armenia Quindío

... thinning. Keratoconus is a severe corneal dystrophy in the United States and 1 in every 2,000 Americans has the disease nowadays ...[1-3]. Keratoconus causes the middle cornea to become thinner and slowly ... See full document

... In recent years, the interaction between humans and computers has been constantly evolving, achieving a clear goal of natural interaction. The most expressive way for humans to express emotions is through facial ... See full document

... the network, one when the network was trained only for brain MRI, second only for breast MRI, 3rd only for cardiac MRI and 4th when network is trained for all ...Each network is trained ... See full document

... production. Using modern technologies, like smart phones, farmers can be aided in detecting and identifying the type of pests and diseases found in their rice ...fields. Convolutional Neural ... See full document

... method using fundus images for DR have received a great deal of attention among ...for detecting abnormalities in fundus ...detected using density ...by using a 45-feature ... See full document

... use Convolutional Neural Network (CNN) to identify the characters, Efficient and Accurate Scene Text Detector (EAST) for detecting the text in the image, Digital Image Processing methods are ... See full document

... towards an automated detection and localisation of key building defects, e.g., mould, deterioration, 18.. and stain, from images.[r] ... See full document

... on detecting objects using the YOLO v3 neural network due to its excellent accuracy, an average of about ...of detecting objects using this method are presented in Figure 6 ... See full document

... done using a bounding box approach where each of the objects is been given a unique identification number for purpose of detection of ...of detecting patterns on vehicles one such is the use of support ... See full document

... in detecting the weapons using Image Classification ...by using Infrared Radiation. After detecting the weapon, the code of the gun is scanned and compared with already fed licensed gun ... See full document

... plants using image processing and Convolutional Neural Network ...segmentation. Convolutional Neural Network (CNN) provides the predicted nutritional deficiencies in the ... See full document

... is using cryptographic algorithms implementation. Using deep learning techniques, we are interested in evaluating the performance of our neural network models in predicting the power traces ... See full document

... Expression shows the internal changes that are happens inside the human mind at any time [Ekman, 1997]. Facial expressions play a critical role in human communication, where the emotional states for human are convey and ... See full document

... An ear recognition method is proposed by Revaud et al. [18], which uses the Scale-Invariant Features Transform (SIFT) method to detect features and create descriptors for them. These features are extracted for the model ... See full document

... Deep Neural Networks in a variety of domains have made it an important area of ...Deep Neural Networks an ideal choice for this ...cases using Natural Language ...approach using Deep ... See full document

... scratch convolutional neural network is designed in order to extract the iris features and softmax classifier is used for multiclass ...the Convolutional Neural Network based ... See full document

... sured as normalized pixel value changed on three RGB channels, which is expected to be small to guarantee the modification can be invisible. For an individual, the lower the fitness, the better the quality hence easier ... See full document

... This paper highlights the fact that how an android app will make it possible for every common man to ease the tedious process of scanning and converting the images into soft copy just on a click even while working ... See full document

... Convolutional neural network (CNN) is a kind of feed- forward neural network, which is an efficient identification method developed in recent years ...cats. Convolutional ... See full document

... by using video summarization for various ...via Convolutional Neural Networks (CNN). Using this analysis, features are extracted and calculated, which are used for generation of summarized ... See full document