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…
Railway Timetable System Abstract-Railway Timetable System Project is a website that helps to know the train schedule information. This web project is developed using asp.net as the front end and sql as a back-end. The sql database stores train details and its schedule. A user visiting the website can search the train based on need…
Railways Reservation System Abstract-Railways reservation System is a computerized system used to store and retrieve information. The project is aimed at exposing the relevance and importance of Airline Reservation Systems. It is projected towards enhancing the relationship between customers and Railways agencies through the use of Railways Reservation Systems .The main purpose of this software…
Rain drop Detection and Removal using K-Means Clustering Abstract-At the first place ,a novel hybrid algorithm has been proposed to detect raindrops , remove and then restore the image back ground in a single image. In addition, this new hybrid algorithm is framed based on K-Means clustering and Median filtering for the fast retrieval of…
Melanoma Is Skin Deep: A 3D Reconstruction Technique for Computerized Dermoscopic Skin Lesion Classification Abstract-Given the prevalence of joint photographic experts group (JPEG) compressed images, optimizing image reconstruction from the compressed format remains an important problem.Instead of simply reconstructing a pixel block from the centers of indexed discrete cosine transform (DCT) coefficient quantization bins (hard…
Range – free Localization Algorithm for Anisotropic Wireless Sensor Networks Abstract-In the first place, here propose a novel range-free localization algorithm tailored for anisotropic wireless sensors networks (WSN)s. Using the proposed algorithm, each regular or positionunaware node estimates its distances only to reliable anchors or position-aware nodes. The latter are properly chosen following a new…
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…
RAPARE: A Generic Strategy for Cold-Start Rating Prediction Problem Abstract-In recent years, recommender system is one of indispensable components in many e-commerce websites. One of the major challenges that largely remains open is the cold-start problem, which can be viewed as a barrier that keeps the cold-start users/items away from the existing ones. In this…