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    Numerical Analysis of Some Preconditioners and Associated Error Estimators for Solving Linear Systems 

    Dugar, Abhishek
    Convergence of iterative algorithms in solving large linear systems is largely affected by the condition number of the matrix. Preconditioners reduce the condition number of the system matrix, thereby letting the linear ...

    Exploring the Inherent Saliency in Visual Data through Convolutional Neural Networks 

    Majumder, Avishek
    Saliency plays a key role in various computer vision tasks. Extracting salient regions from images and videos has been a well-established problem in computer vision. Determining salient regions in an image or video has ...

    A Divide and Conquer Framework For Graph Processing in Distributed Heterogeneous Systems 

    Panja, Rintu
    In many fields of science and engineering graph data structures are used to represent real-world information. As these graphs scale in size, it becomes very inefficient to process these graphs on a single core CPU using ...

    Improving Data Center Utilisation by Reducing Fragmentation 

    Shravan, S K
    Virtualization enables better server consolidation and utilisation compared to stand-alone servers running a single workload. This enabled wide-spread cloud adoption among many organizations. Data center utilisation is ...

    Towards Designing PCM-Conscious Database Systems 

    Garg, Vishesh
    Phase Change Memory (PCM) is a recently developed non-volatile memory technology that is expected to provide an attractive combination of the best features of conventional disks (persistence, capacity) and of DRAM (access ...

    Spectrum Sensing Receivers for Cognitive Radio 

    Khatri, Vishal (2018-02-16)
    Cognitive radios require spectral occupancy information in a given location, to avoid any interference with the existing licensed users. This is achieved by spectrum sensing. Existing narrowband, serial spectrum sensors ...

    Balancing Money and Time for OLAP Queries on Cloud Databases 

    Sabih, Rafia (2017-12-16)
    Enterprise Database Management Systems (DBMSs) have to contend with resource-intensive and time-varying workloads, making them well-suited candidates for migration to cloud plat-forms { specifically, they can dynamically ...

    Projection based Variational Multiscale Methods for Incompressible Navier-Stokes Equations to Model Turbulent Flows in Time-dependent Domains 

    Pal, Birupaksha (2018-06-15)
    Numerical solution of differential equations having multitude of scales in the solution field is one of the most challenging research areas, but highly demanded in scientific and industrial applications. One of the natural ...

    Numerical Studies of Axially Symmetric Ion Trap Mass Analysers 

    Kotana, Appala Naidu (2018-05-29)
    In this thesis we have focussed on two types of axially symmetric ion trap mass analysers viz., the quadrupole ion trap mass analyser and the toroidal ion trap mass analyser. We have undertaken three numerical studies in ...

    Visual Flow Analysis and Saliency Prediction 

    Srinivas, Kruthiventi S S (2017-12-16)
    Nowadays, we have millions of cameras in public places such as traffic junctions, railway stations etc., and capturing video data round the clock. This humongous data has resulted in an increased need for automation of ...
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    AuthorKumar, Vikash (2)Abhijith, J (1)Abhishek, A (1)Addepalli, Sravanti (1)Aggarwal, Surbhi (1)Agrawal, Harish (1)Ahmad, Touseef (1)Alladin, Muttaqi Ahmad (1)Anandh, Thivin (1)Arun, I (1)... View MoreSubjectTECHNOLOGY (74)INTERDISCIPLINARY RESEARCH AREAS (16)Deep Learning (14)Computer Science (10)Computational and Data Sciences (8)Machine Learning (8)Computer Vision (6)Deep Neural Networks (5)MATHEMATICS (5)Deep learning (4)... View MoreDate Issued2017 (6)2018 (6)Has File(s)
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