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    Global control of mechanics on Riemannian manifolds, and applications to under-actuated aerial vehicles 

    Simha, Ashutosh
    We consider the problem of designing trajectory tracking feedback control laws for La- grangian mechanical systems in a Riemannian geometric framework. Classical nonlinear control techniques that rely on Euclidean ...

    Improving photoacoustic imaging with model compensating and deep learning methods 

    Gutta, Sreedevi
    Photoacoustic imaging is a hybrid biomedical imaging technique combining optical ab- sorption contrast with ultrasonic resolution. It is a non-invasive technique that is scalable to reveal structural, functional, and ...

    A Numerical Method for Modeling Light Scattering from Spherical Particles with a Probability Density in the Parametric Space 

    Khan, Akif
    With modern computational tools, modeling light scattering from a particle with known physical parameters has become relatively trivial. Evaluation using analytical solutions is highly eficient compared to a full ...

    EMF: System Design and Challenges for Disaggregated GPUs in datacenters for Efficiency, Modularity and Flexibility 

    Guleria, Anubhav
    With Dennard Scaling phasing out in the mid-2000s, architectural scaling and hardware specialization take centre stage to provide performance bene fits with already stalling Moore's law. An outcome from this hardware ...

    Towards Learning Adversarially Robust Deep Learning Models 

    Vivek, B S
    Deep learning models have shown impressive performance across a wide spectrum of computer vision applications, including medical diagnosis and autonomous driving. One of the major concerns that these models face is their ...

    Scalability Bottleneck Analysis of High Performance Applications 

    Halder, Soham
    Obtaining high performance and scalability for high performance applications are challenging. There are various bottlenecks including, higher rate of memory access, complex algorithm, high rate of communication, big ...

    Stability Preserving Bisection Algorithms in Reaction-Diffusion Complex Networks 

    Bhatt, Vikram
    Reaction-Diffusion complex networks are ubiquitous in many pragmatic models of network of interacting nodes with individual dynamics, such as social interactions, neuronal functions, transportation models, ecological ...

    A Hierarchical Control Plane Framework for Integrated SDN-SFC Management in Multi-tenant Cloud Datacenters 

    Lakshmi, B S
    Cloud data centers represent one of the most complex and dynamic environments in terms of network management. The multitude of hosted applications in such centers share the same fabric and yet demand easy and fast service ...

    Parallel Smoothers for Multigrid Method in Heterogeneous CPU-GPU Environment 

    Iyer, Neha Mohan
    Real-world applications require the solution of large a sparse system of algebraic equations that arise from the discretization of partial di erential equations with the help of supercomputers. Modern supercomputers are ...

    Vector Extrapolation and Guided Filtering Methods for Improving Photoacoustic and Microscopic Images 

    Awasthi, Navchetan
    Photoacoustic imaging is a noninvasive imaging modality which combines the bene ts of optical contrast and ultrasonic resolution. It is applied widely for monitoring tissue health conditions in the elds of cardiology, ...
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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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    etd@IISc is a joint service of SERC & J R D Tata Memorial (JRDTML) Library || Powered by DSpace software || DuraSpace
    Contact Us | Send Feedback | Thesis Templates
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