[PDF] Top 20 FPGA Implementation of Glaucoma Detection using Neural Networks
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FPGA Implementation of Glaucoma Detection using Neural Networks
... Feature extraction from the pre-processed image is done using the segmentation technique called multi-thresholding. This technique is similar to thresholding technique. This technique is based on partitioning an ... See full document
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FPGA Implementation of Blind Source Separation using FastICA
... of implementation in the area of digital signal processing and neural ...in FPGA. Du and Qi [16] implemented a parallel ICA on the Multi FPGA pilchard, a reconfigurable computing development ... See full document
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FPGA Implementation of Artificial Neural Network
... of neural network applications, the money that has been invested in neural network software and hardware, and the depth and breadth of interest in these devices have been growing ...for ... See full document
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Network intrusion detection using neural networks on FPGA SoCs
... intrusion detection fall into two broad categories, private (or custom) and public ...attack detection by manipulating the number of records in each class ...work using the same ... See full document
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Accelerated artificial neural networks on FPGA for fault detection in automotive systems
... fault detection compu- tationally. Artificial Neural Networks (ANNs) are a promising approach in this regard, since they can be used to mimic these physical relations (by ...fault detection ... See full document
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A FPGA Implementation on Skin Cancer Detection Using TDLS Algorithm
... Dermatologists diagnose malignancy in skin lesions based on their extensive training, experience from previous diagnoses, and their access to vast amounts of research. Their diagnosis is based on looking at a set of ... See full document
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JPEG Image Compression Using FPGA with Artificial Neural Networks
... integration. Using an FPGA (Field Programmable Gate Array) to implement a codec combines the best of two ...The implementation of this work is carried out with JPEG algorithm with Artificial ... See full document
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Applications of Fuzzy-Neural and FPGA For Prediction of Various Diseases- A Survey
... fuzzy neural networks and FPGA based implementations for predicting various physiological ...base using Neural Network for the prediction of specific disease based on the predecided ... See full document
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Design and Implementation of Logic Gates using Artificial Neural Networks on FPGA
... hardware implementation of artificial neural networks and implementation of logic gates using artificial neural networks on Field Programmable Gate Arrays (FPGA) is ... See full document
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Recurrent Neural Networks Hardware Implementation on FPGA
... Due to the recurrent nature of RNNs, it is sometimes hard to parallelize all its computations on conventional hardware. General purposes CPUs do not currently offer large parallelism, while small RNN models do not get ... See full document
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A New Method for Intrusion Detection Using Genetic Algorithm and Neural network
... Then, using the simple Bayesian algorithm for node classification, the result obtained for the attack type from the KDD99 data set is used for ...real networks, since the K-Means algorithm requires more ... See full document
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Implementation of Smartbin using Convolutional Neural Networks
... controlled using GPIO ...Dropbox. Using the GPIO Pins of the Raspberry Pi, this module controls the servo motors, which in turn tilt the flaps according to the incoming waste ... See full document
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FPGA Implementation of an Agricultural Management System using wireless Networks
... coding techniques like Binary, Gray code,Excess-3 code and One hot encoding and the utilization of devices are shown in table of comparison along with the delay and minimum period of dif[r] ... See full document
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Area Efficient FPGA Implementation of Sobel Edge Detector for Image Processing Applications
... edge detection algorithm is implemented on serialized ...matlab using m- files in embedded matlab block in ...Edge detection masks are stored in shift ... See full document
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Gesture recognition system using kinect camera implemented on FPGA
... the FPGA board by converting the image into serial ...processed using Xilinx block sets and the desired task of edge detection and thresholding is successfully ...performed using Xilinx System ... See full document
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FPGA Based Design Implementation for Detection of Exudates Using XSG
... ABSTRACT: A methodology for implementing DSP applications on Field programmable gate arrays employing Xilinx System Generator (XSG) is presented. This paper outlines efficient hardware architecture for detection ... See full document
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FPGA based Image Feature Extraction Using Xilinx System Generator
... edge detection system in matlab using ‘Xilinx System Generator’ (simulink ...optimized using ISE ...hardware implementation is that it uses a high level language for coding; finally generating ... See full document
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Implementation of Canny Edge Detection Algorithm in FPGA Using HDL
... In order to implement the canny edge detector algorithm, a series of steps must be followed. The first step is to filter out any noise in the original image before trying to locate and detect any edges. And because the ... See full document
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FPGA Implementation of Image Steganography Using LSB and DWT
... With the literature review, various observations are drawn as mostly LSB and DWT techniques are employed for image steganography. From LSB method, 2 or 3- bit LSB serves adequate values for PSNR, MSE and BER. On the ... See full document
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VIRTUAL EYE
... The video _le is read from the computer where it is stored priory. Frames from the video are extracted as 5-6 frames per second. The frames are taken and these images are stored ina block RAM which is then followed by ... See full document
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