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[PDF] Top 20 A Novel Approach Using Convolutional Neural Network to Reconstruct Image resolution

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A Novel Approach Using Convolutional Neural Network to Reconstruct Image resolution

A Novel Approach Using Convolutional Neural Network to Reconstruct Image resolution

... reconstructed image, X represents the ground truth high-resolution images and 𝑛𝑛 is the number of training ...evaluating image restoration qualities as its value is very significant in assessing the ... See full document

13

Automatic Musical Pattern Feature Extraction Using Convolutional Neural Network

Automatic Musical Pattern Feature Extraction Using Convolutional Neural Network

... a novel approach to automati- cally retrieve musical pattern features from audio music using convolutional neural network (CNN), a model ... See full document

5

Towards End-to-End Acoustic Localization Using Deep Learning: From Audio Signal to Source Position Coordinates

Towards End-to-End Acoustic Localization Using Deep Learning: From Audio Signal to Source Position Coordinates

... a novel approach for indoor acoustic source localization using microphone arrays and based on a Convolutional Neural Network ...source, using the raw audio signal as the ... See full document

18

Generating and Validating DSA Private Keys from Online Face Images for Digital Signatures

Generating and Validating DSA Private Keys from Online Face Images for Digital Signatures

... a novel approach is proposed to extract the private component of the key used to produce the digital signature from online face ...a convolutional neural network that is trained ... See full document

6

Detection of Diabetic Retinopathy using Convolutional Neural Network

Detection of Diabetic Retinopathy using Convolutional Neural Network

... stages using deep learning. In our approach, we trained a Deep Convolutional Neural Network model on a large dataset consisting of around 35,000 images to automatically diagnose and ... See full document

7

A Novel Method for Remotely Sensed Hyperspectral Image Classification
Based on Convolutional Neural Network

A Novel Method for Remotely Sensed Hyperspectral Image Classification Based on Convolutional Neural Network

... The broadly used Principle Component Analysis (PCA), Independent Component Analysis (ICA) focuses on spectral dimensionality reduction based classification techniques which transforms the data into new domain to extract ... See full document

10

Foreign object debris material recognition based on convolutional neural networks

Foreign object debris material recognition based on convolutional neural networks

... dataset using two approaches. The first approach involved taking the images in the backup runway of Shanghai Hongqiao International ...other approach to construct the dataset was to collect images at ... See full document

10

Deep Convolution Neural Networks for Automatic Eyeglasses Removal

Deep Convolution Neural Networks for Automatic Eyeglasses Removal

... compensation approach based on PCA reconstruction by synthesizing eyeglasses and no eyeglasses facial images to remove eyeglasses on facial ...by using a template matching ...a novel visible ... See full document

8

Super Resolution Imaging of Mammograms Based on the Super Resolution Convolutional Neural Network

Super Resolution Imaging of Mammograms Based on the Super Resolution Convolutional Neural Network

... the image restoration quality, approaches infinity; thus, a higher PSNR value implies a high image restoration ...obtained using the SRCNN scheme was restored to closer to the original image ... See full document

16

Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network

Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network

... new approach that ex- ploits existing surveillance camera systems to provide qual- itative flood level trend information at ...The approach uses a deep convolutional neural network ... See full document

14

Light field Image Super resolution Using Convolutional Neural Network

Light field Image Super resolution Using Convolutional Neural Network

... angular resolution in a restricted sensor ...spatial resolution of light-field cameras limits the application of light-field ...a novel light-field super-resolution method based on ... See full document

5

Image Segmentation Using Convolutional Neural Network

Image Segmentation Using Convolutional Neural Network

... the image for the purpose of representing the images by their segmentation map ...itself. Image segmentation map is a one to one mapping of each pixel of an image to a set of ...This approach ... See full document

9

Neural network based tomographic approach to detect earthquake-related ionospheric anomalies

Neural network based tomographic approach to detect earthquake-related ionospheric anomalies

... pulsations suggest the existence of a large current in space caused by acoustic waves based on surface displacements. Otsuka et al. (2006) reported the enhancement of GPS-TEC on the north side of the epicenter 14 to 40 ... See full document

13

Classification And Detection Of Nutritional Deficiencies In Coffee Plants Using Image Processing And Convolutional Neural Network (CNN)

Classification And Detection Of Nutritional Deficiencies In Coffee Plants Using Image Processing And Convolutional Neural Network (CNN)

... Digital image processing of 355 images with nutritional deficiencies in coffee plants such as magnesium, manganese and iron was utilized in the ...The image was pre-processed from RGB ...the image ... See full document

6

Prediction of Rice Diseases Using Convolutional  Neural Network (in Rstudio)

Prediction of Rice Diseases Using Convolutional Neural Network (in Rstudio)

... In this paper, particularly focused on identifying the diseases which occur in paddy using r language .By improving the training images we achieve better results. In future, we can also predict disease name and ... See full document

8

Search | Preprints

Search | Preprints

... Precipitation Estimation Using Convolutional Neural Network. Water Resources Research[r] ... See full document

37

Object Detection using Convolutional Neural Network in the Application of Supplementary Nutrition Value of Fruits

Object Detection using Convolutional Neural Network in the Application of Supplementary Nutrition Value of Fruits

... and image process that contracts with spying instances of similar objects of a particular category (such as Food ,Animal, buildings, or cars) in digital pictures and ...as image repossession and video ... See full document

5

Integrated Management System For Sugarcane Disease Using Deep Learning Techniques-A Review

Integrated Management System For Sugarcane Disease Using Deep Learning Techniques-A Review

... automated approach for the detection of crop disease detection; it is helpful to insurgency for the agricultural ...the approach to the early detection of plant disease which is affected on ... See full document

5

Automatic Plastic Waste Segregation And Sorting Using Deep Learning Model

Automatic Plastic Waste Segregation And Sorting Using Deep Learning Model

... an image classification on it, the development of a CNN based object detector became ...based image classifiers were computationally very expensive compared traditional techniques like HAAR ...for ... See full document

5

Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment (FRUE)

Comparative Evaluation of Deep Architectures for Face Recognition in Unconstrained Environment (FRUE)

... face image database containing around 494,414 images of 10,575 unique identities, which is made publicaly available, and training CNN for the collected ...10 convolutional layer, 5 pooling layer and 3 fully ... See full document

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