[PDF] Top 20 Approach for Diabetic Retinopathy Analysis using Artificial Neural Networks
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Approach for Diabetic Retinopathy Analysis using Artificial Neural Networks
... Diabetic retinopathy (DR) is damage in the eye due to diabetes which may occur due to changes in blood glucose level that may lead to changes in retinal blood ...years. Diabetic retinopathy is ... See full document
5
Optical Character Recognition Using Artificial Neural Networks Approach
... of Artificial Neural Networks based approach to the recognition of ...of neural network is built for classification using BackPropagation learning ... See full document
6
Advanced approach to numerical forecasting using artificial neural networks
... ratic functions. Regarding to activation functions, both approximates input values. The diff erence is made with the extrapolation of input data, where better results for this precise data model bring MLP- NN. The ... See full document
8
An Evolutionary Approach: Analysis of Artificial Neural Networks
... of artificial neural network solutions have been trained with ...the artificial neural network must be trained before it becomes ...a neural network is compared to the desired ... See full document
5
A hybrid approach based on arima and artificial neural networks for crime series forecasting
... In recent times, there is the growing manifestation among stake holders that crime cannot be controlled exclusively through the action of the police and criminal justice administrators. Always the primary target of the ... See full document
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A multi objective approach to evolving artificial neural networks for coronary heart disease classification
... potential approach to satisfying trade-offs between clas- sification objectives is to use evolutionary multi-objective opti- misation (EMO) algorithms to address each of the conflicting objectives ...This ... See full document
9
Data driven Time Series Based Prediction in Smart Home Appliance Energy Consumption
... method using artificial intelligence (AI) methods such as support vector machine (SVM) and artificial neural networks (ANN) is a potential approach for such ...based ... See full document
6
Steganography Detection using Functional Link Artificial Neural Networks
... new approach known as Steganography detection using Functional Link Artificial Neural Networks that deals with neural network models that are able to detect Steganography content ... See full document
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Title: CLASSIFICATION ON BREAST CANCER USING GENETIC ALGORITHM TRAINED NEURAL NETWORK
... Abstract— Artificial neural networks have been in the position of producing complex dynamics in control applications over the last decade, especially when they are linked to ...ANN using ... See full document
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Inputs Selection for Artificial Neural Networks for Multivariate time Series
... extra calculations and the examination of a very large number of possible combinations. The authors propose to study the autocorrelations of the output and the cross correlations between the input and the output to ... See full document
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Detecting and classifying diabetic retinopathy in fundus retina images using artificial neural networks based firefly clustering algorithm
... data analysis from the same entity. The general approach is to utilize a different ‘localizer’ scan to detect voxels in a specific anatomical region which shows a specific ... See full document
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DEM-based analysis of morphometric features in humid and hyper-arid environments using artificial neural network
... robust approach using artificial neural networks in the form of a Self Organizing Map (SOM) as a semi-automatic method for analysis and identification of morphometric features in ... See full document
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Detection of Diabetic Retinopathy using Convolutional Neural Network
... automated analysis of human eye fundus image was an important ...to diabetic retinopathy. The main stages of diabetic retinopathy were non-proliferative retinopathy (NPDR) and ... See full document
7
Diabetic Retinopathy Using Artificial Neural Network
... the neural network output to the desired output, calculate the error and use this to adjust the weights of the network in proportion to their contribution for the error in the ...set, neural networks ... See full document
5
DETECTION AND CLASSIFICATION OF DIABETIC RETINOPATHY USING ADAPTIVE BOOSTING AND ARTIFICIAL NEURAL NETWORK
... of diabetic deaths ...of diabetic retinopathy is ...An analysis conducted worldwide from 1980 to 2008 involving 35 studies estimated that the global prevalence of any diabetic ... See full document
6
Diabetic Retinopathy Detection Using Neural Network
... The latest cohort of “Deep-Convolutional-Neural-Networks” (DCNN) devise intensely progressive stimulating computer vision responsibilities, especially in object detection and object classification, ... See full document
5
Comparison of Different Diabetic Retinopathy Detection Algorithms with a Proposed One Using Neural Network and DWT
... of Diabetic retinopathy can decrease the growth of this disease and prevent vision ...and Neural Network. The neural network has improved the efficiency and accurate classification capability ... See full document
7
Analysis of Earth Embankment Structures using Performance-based Probabilistic Approach including the Development of Artificial Neural Network Tool.
... modeled using staged construction in 7 ...estimated using trial ...consolidation analysis was performed to capture secondary compression settlement (creep effect) for 20,000 days (over 50 ... See full document
217
System health management of safety critical systems using artificial neural networks
... The neural FDI scheme, will be developed and employed to perform the detection (residual generation) and isolation (residual classification) tasks of the diagnostic system using two different structures of ... See full document
5
Integrity Analysis of Dented Pipelines using Artificial Neural Networks
... Fig. 12 and Fig. 17 show that the ASME B31.8 equations produce non-conservative results for when compared to FEA, which is in agreement with what other researchers have found [7,8]. Okoloekwe attributed the fact that the ... See full document
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