Showing 1585–1596 of 2067 results
QUANTITATIVE ASSESSMENT OF DIABETIC MACULAR EDEMA USING FLUORESCEIN LEAKAGE MAPS Abstract?Diagnosis of Diabetic Macular Edema (DME) from Fundus Fluorescein Angiography (FFA) image sequences is a standard clinical practice. Nevertheless, current methods depend on subjective evaluation of the amount of fluorescein leakage in the images which lack reproducibility and require well-trained grader. In this work,<…
Quasi Y-Source Boost DC-DC Converter Abstract? Quasi Y-Source Boost DC-DC Converter. A new topology called ?quasi-Y-source dc-dc converter? is presented. It inherits all the advantages of the original Y-source converter. In addition, the new topology draws a continuous current from the source, which is definitely more appropriate for most renewable sources. It also has dc-current…
Query-Adaptive Image Search With Hash Codes Abstract?Scalable image search based on visual similarity has been an active topic of research in recent years. State-of-the-art solutions often use hashing methods to embed high-dimensional image features into Hamming space, where search can be performed in real-time based on Hamming distance of compact hash codes. Unlike traditional…
Quey based aggreculture details Abstract? Quey based aggreculture details. In this paper, we study row-based detailed placement refinement for triple patterning lithography (TPL), which asks to find a refined detailed placement solution as well as a valid TPL layout decomposition under the objective of minimizing the number of stitches and the half-perimeter wirelength. Our problem…
Quiz Management System Abstract?The system not only reflects the justification and objectivity of examination, but also releases the workload of teachers, which is accepted by more and more schools, certification organizations and training organizations. Most online examination systems only support several fixed question types and don’t allow users define their own question types, so they…
Radio Database Compression for Accurate Energy-Efficient Localization in Fingerprinting Systems Abstract? Location fingerprinting is a positioning method that exploits the already existing infrastructures such as cellular networks or WLANs. Regarding the recent demand for energy efficient networks and the emergence of issues like green networking, we propose a clustering technique to compress the radio database…
Ragging Complaint System Using Android Abstract?Ragging complaint system is an android based application. Mobile Applications are developed for many different purposes like games, social media apps, music apps, utility apps etc. And also the main purpose of developing a mobile app is for making the user feel comfortable by using the process in their mobile…
Rail Route Optimization System Abstract?Rail Route Optimization System. Symbolic encoding for resource allocation, task binding, and message routing during multi-objective design space exploration (DSE) has gained significant attention in recent years. To determine the message routing, existing symbolic approaches typically rely on an explicit encoding of routing hops which results in a huge number…
Range-Based Skyline Queries in Mobile Environments Abstract? Skyline query processing for location-based services, which considers both spatial and nonspatial attributes of the objects being queried, has recently received increasing attention. Existing solutions focus on solving point- or line-based skyline queries, in which the query location is an exact location point or a line segment.< Final…
Rank-Based Similarity Search: Reducing the Dimensional Dependence Abstract? Rank-Based Similarity Search: Reducing the Dimensional Dependence. A Probabilistic data structure for k-NN search, the rank cover tree < RCT >, that entirely avoids the use of constraints involving similarity values. All internal selections are made according to the ranks of the objects to the query, allowing…
RankRC: Large-scale Nonlinear Rare Class Ranking Abstract? RankRC: Large-scale Nonlinear Rare Class Ranking. Rare class problems are common in real-world applications across a wide range of domains. Standard classification algorithms are known to perform poorly in these cases, since they focus on overall classification accuracy. In addition, we have seen a significant increase of data…
RANWAR: Rank-Based Weighted Association Rule Mining from Gene Expression and Methylation Data Abstract? RANWAR: Rank-Based Weighted Association Rule Mining from Gene Expression and Methylation Data. Ranking of association rules is currently an interesting topic in data mining and bioinformatics. The huge number of evolved rules of items (or, genes) by association rule mining (ARM) algorithms…
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