Ram Mohana Reddy

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Graphics Processing Units (GPUs) are massive data parallel processors. High performance comes only at the cost of identifying data parallelism in the applications while using data parallel processors like GPU. This is an easy effort for applications that have regular memory access and high computation intensity. GPUs are equally attractive for sparse matrix(More)
Three dimensional (3D) reconstruction of the tumor from medical images is an important operation in the medical field as it helps the radiologist in the diagnosis, surgical planning and biological research. Thus in this paper, we propose an effective and efficient approach to 3D reconstruction of brain tumor and estimation of its volume from a set of two(More)
In this paper, the aim is to build a hybrid Word Sense Disambiguation(WSD) technique, which is acutely focused on text associated with a certain form of visual. Natural language processing helps establish a context among the data elements that are aggregated to establish a certain meaning. Analyzing transcripts of visuals being uploaded in real-time saves(More)
In most electronic video applications, video with Higher Resolution(HR) are often required. HR video can offer more details that may be critical in various applications like Video Surveillance. Super resolution technique refers to generation of high resolution image from low resolution image by adding some extra information. Super resolution allows us to(More)
Social Networking is the medium widely used for expressing emotions and opinions in public life through smart phones and other mediums on the Internet. Amongst the popular portals is the Twitter. Twitter has been the point of attraction to several people in research in important areas like prediction of democratic electoral events, consumer brands, movie(More)
Texture Image Classification with Riemannian Fisher Vectors Issued from a Laplacian Model Ioana Ilea, Lionel Bombrun, Christian Germain and Yannick Berthoumieu (Paper type) Student paper VIEWS SELECTION FOR SIFT BASED OBJECT MODELING AND RECOGNITION Alessandro Bruno, Luca Greco and Marco La Cascia (Paper type) Subhayan Mukherjee, Irene Cheng, Ram Mohana(More)
With the advance of various wireless access technologies, the demand for a mobile user equipped with multiple air interfaces simultaneously executing diverse applications emerged. In such network environments, per-application mobility management is a key to allow each application of an end user device to dynamically and fully take advantage of the most(More)
  • Sree Lakshmi Addepalli, Sree Gowri Addepalli, +29 authors Hoda Korashy
  • 2016
Ecommerce is a significant part in the global economy. Ecommerce websites users have high suppositions for the quality of products or services it provides, and if they are not met, the next ecommerce site is only a click away. Managing customer satisfaction, trust and loyalty of ecommerce services is very important for the long-term growth of many(More)
In this paper, we propose a novel HYBRID Bio-Inspired algorithm for task scheduling and resource management, since it plays an important role in the cloud computing environment. Conventional scheduling algorithms such as Round Robin, First Come First Serve, Ant Colony Optimization etc. have been widely used in many cloud computing systems. Cloud receives(More)