Showing 3565–3576 of 3682 results
Uncertain Data Clustering in Distributed Peer-to-Peer Networks Abstract-In general, Uncertain data clustering has been recognized as an essential task in the research of data mining. Many centralized clustering algorithms are extended by defining new distance or similarity measurements to tackle this issue. With the fast development of network applications, these centralized methods show their limitations…
Underwater Image Restoration based on Image Blurriness and Light Absorption Abstract?Abstract Underwater images often suffer from color distortion and low contrast because light is scattered and absorbed when traveling through water. Such images with different color tones can be shot in various lighting conditions, making restoration and enhancement difficult. We propose a depth estimation method…
Unified Opportunistic Scheduling for Layered Multicast over Cognitive Radio Networks Abstract?We investigate the multicast of layered multimedia content in single hop cognitive radio (CR) networks and ways of improving the subscriber utility. < final year projects > [numbers_sections number=”1″ title=”Including =Packages=” last=”no” ] Complete Source Code Complete Documentation Complete Presentation Slides Flow Diagram Database File…
Unified power flow controller based reactive power dispatch using oppositional krill herd algorithm Abstract?Abstract Medical image degradation has a significant impact on image quality, and thus affects human interpretation and the accuracy of computer-assisted diagnostic techniques.Unfortunately, Ultrasound images are mainly degraded by an intrinsic noise called speckle. Therefore, despekle filtering is a critical preprocessing step…
UNION: A Unified Inter/Intrachip Optical Network for Chip Multiprocessors Abstract?As modern computing systems become increasingly complex, communication efficiency among and inside chips has become as important as the computation speeds of individual processing cores. Traditionally, to maximize design flexibility, interchip and intrachip communication architectures are separately designed under different constraints. Jointly designing communication architectures for…
Unprivileged Black-Box Detection of User-Space Keyloggers Abstract?Software keyloggers are a fast growing class of invasive software often used to harvest confidential information. One of the main reasons for this rapid growth is the possibility for unprivileged programs running in user space to eavesdrop and record all the keystrokes typed by the users of a system.<...
Unraveling the Effect of Textured Contact Lenses on Iris Recognition Abstract?Unraveling the Effect of Textured Contact Lenses on Iris Recognition. The presence of a contact lens, particularly a textured cosmetic lens, poses a challenge to iris recognition as it obfuscates the natural iris patterns. The main contribution of this paper is to present an in-depth…
Unsupervised Colour Image Segmentation using Dual-tree Complex Wavelet Transform Abstract?a novel image segmentation technique for noisy colour images, in which the heavy-tailed characteristics of the image are modelled by Cauchy distributions. First, the RGB colour bands of the noisy image are decomposed into multiresolution representations using the dual-tree complex wavelet transform.< Final Year Project >…
Unsupervised Deep Feature Extraction for Remote Sensing Image Classification Abstract? The use of single layer and deep convolutional networks for remote sensing data analysis. Direct application to multi- and hyper-spectral imagery of supervised (shallow or deep) convolutional networks is very challenging given the high input data dimensionality and the relatively small amount of available labelled…
Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammo graphic Risk Scoring Abstract?Mammo graphic risk scoring has commonly been automated by extracting a set of handcrafted features from mammograms, and relating the responses directly or indirectly to breast cancer risk. We present a method that learns a feature hierarchy from unlabeled data. < final...
Unsupervised Feature Selection with Controlled Redundancy (UFeSCoR) Abstract? Unsupervised Feature Selection with Controlled Redundancy (UFeSCoR). Features selected by a supervised / unsupervised technique often include redundant or correlated features. While use of correlated features may result in an increase in the design and decision making cost, removing redundancy completely can make the system vulnerable to…
Unsupervised Multi-Spectral Satellite Image Segmentation Combining Modi fied Mean-Shift and a New Minimum Spanning Tree Based Clustering Technique Abstract?Unsupervised Multi-Spectral Satellite Image Segmentation Combining Modi fied Mean-Shift and a New Minimum Spanning Tree Based Clustering Technique. An unsupervised object based segmentation, < Final Year Projects > combining a modified mean-shift (MS) and a novel minimum…
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