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    • Browsing Department of Computational and Data Sciences (CDS) by thesis submitted date
    •   etd@IISc
    • Division of Interdisciplinary Research
    • Department of Computational and Data Sciences (CDS)
    • Browsing Department of Computational and Data Sciences (CDS) by thesis submitted date
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    Browsing Department of Computational and Data Sciences (CDS) by thesis submitted date"2017"

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      • An Accelerator for Machine Learning Based Classifiers 

        Mohammadi, Mahnaz
        Artificial Neural Networks (ANNs) are algorithmic techniques that simulate biological neural systems. Typical realization of ANNs are software solutions using High Level Languages (HLLs) such as C, C++, etc. Such solutions ...
      • Benchmarking and Scheduling Strategies for Distributed Stream Processing 

        Shukla, Anshu (2018-08-20)
        The velocity dimension of Big Data refers to the need to rapidly process data that arrives continuously as streams of messages or events. Distributed Stream Processing Systems (DSPS) refer to distributed programming and ...
      • Feasible Path Prescription for Engineering Systems in a High-Index Constrained Dynamics Framework 

        Uppal, Tarun
        Constrained dynamic performance and control models of complex engineering systems can be represented in the form of a Differential Algebraic Equation (DAE) system. The high-index of this DAE system poses computational ...
      • Learning Compact Architectures for Deep Neural Networks 

        Srinivas, Suraj (2018-05-22)
        Deep neural networks with millions of parameters are at the heart of many state of the art computer vision models. However, recent works have shown that models with much smaller number of parameters can often perform just ...
      • 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 ...
      • 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 ...
      • Studies on Kernel Based Edge Detection an Hyper Parameter Selection in Image Restoration and Diffuse Optical Image Reconstruction 

        Narayana Swamy, Yamuna (2018-05-25)
        Computational imaging has been playing an important role in understanding and analysing the captured images. Both image segmentation and restoration has been in-tegral parts of computational imaging. The studies performed ...

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