[PDF] Top 20 Detecting Keratoconus Using Convolutional Neural Network on Smartphone
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Detecting Keratoconus Using Convolutional Neural Network on Smartphone
... 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
5
Facial Emotion Detection using Convolutional Neural Network
... 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
6
Image Segmentation Using Convolutional Neural Network
... 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
9
Prediction of Rice Diseases Using Convolutional Neural Network (in Rstudio)
... 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
8
Detection of Diabetic Retinopathy using Convolutional Neural Network
... 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
7
Image to Text conversion in Foreign Language using Document Image Processing Technique
... 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
5
Deep Learning for Detecting Building Defects Using Convolutional Neural Networks
... towards an automated detection and localisation of key building defects, e.g., mould, deterioration, 18.. and stain, from images.[r] ... See full document
23
Method of Automated Detection of Traffic Violation with a Convolutional Neural Network
... 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
7
A Survey On Deep Learning Approaches For Vehicle And Number Plate Detection
... 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
6
Firearm Recognition Using Convolutional Neural Network
... 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
6
Classification And Detection Of Nutritional Deficiencies In Coffee Plants Using Image Processing And Convolutional Neural Network (CNN)
... plants using image processing and Convolutional Neural Network ...segmentation. Convolutional Neural Network (CNN) provides the predicted nutritional deficiencies in the ... See full document
6
Improved Study of Side-Channel Attacks Using Recurrent Neural Networks
... 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
78
Facial expression recognition by using modified convolutional neural network (mcnn) and modified gabor filter
... 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
8
A NOVEL TWO DIMENSIONAL SPECTRAL/SPATIAL HYBRID CODE FOR OPTICAL CODE DIVISION MULTIPLE ACCESS SYSTEM
... 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
10
Deep Learning Based Crime Investigation Framework
... 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
5
Iris Recognition using Convolutional Neural Network Design
... 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
7
Attacking convolutional neural network using differential evolution
... 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
16
Text Recognition using Convolutional Neural Network: A Review
... 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
5
Research on road extraction of remote sensing image based on convolutional neural network
... 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
11
Video Summarization using Convolutional Neural Network
... 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
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