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    AuthorBansal, Sumukh (1)Chaudhary, Pankaj Prabhubhai (1)Dad, Vineet Kumar (1)Desai, Nidhi Nitin (1)Diwan, Anjali (1)Domadiya, Prashant Manishbhai (1)Gadhiya, Tusharkumar Damjibhai (1)Gajera, Hardik (1)Kamble, Madhu R. (1)Mankodi, Amit (1)... View MoreSubject1D Taylor expansion (1)2D Taylor expansion (1)3D integration aids (1)3D Mesh (1)Abundance maps (1)Accurate traffic forecasting (1)Addition of Gaussian noise (1)Adverse weather conditions (1)Automatic Speaker Verification (ASV) systems (1)Brightness change (1)... View MoreDate Issued2021 (11)2020 (3)2022 (3)Has File(s)Yes (17)

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    Now showing items 11-17 of 17

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    Privacy and accountability in cloud computation and storage 

    Gajera, Hardik (Dhirubhai Ambani Institute of Information and Communication Technology, 2021)
    Cloud computing is a cost-effective computing paradigm for convenient, ondemand data access to a shared pool of configurable computing resources such as networks, servers, storage, applications, and services. While providing ...
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    Classification Techniques of PolSAR Images 

    Gadhiya, Tusharkumar Damjibhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2021)
    Over the years, optical remote sensing technology has restricted the ability to capture images during harsh weather settings and at night time. However, Synthetic Aperture Radar (SAR) is independent of solar illumination ...
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    Design and Performance Comparison of Novel High Q Coaxial Resonator Filter for Ka-band High Throughput Satellite 

    Dad, Vineet Kumar (Dhirubhai Ambani Institute of Information and Communication Technology, 2021)
    The filters deployed in the satellite are high-performance filters that have very stringent in-band and out of band performance. They require high Q resonators with spurious free-range for their realization. But, the Q ...
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    Compressive sampling architecture for wideband communication 

    Prakash, Chandra (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
    This dissertation proposes a novel Compressive Sampling (CS) scheme for Sub-Nyquist Spectrum Sensing (SNSS) of spectrally sparse wideband signals. A novelty of our proposed SNSS scheme resides in the analog front-end. We ...
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    Vector graph representation for 3D meshes and algorithms for mesh deformation, enveloping, interpolation and morphing 

    Domadiya, Prashant Manishbhai (Dhirubhai Ambani Institute of Information and Communication Technology, 2021)
    The performance of the tools developed for graphics and animation depends on the underlying representation of the geometric model of the objects. The geometric model in turn describes the geometry of the real world object. ...
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    Facial expression recognition: feature based approaches to deep learning techniques 

    Sujata (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
    Facial expression recognition (FER) is a problem of pattern recognition that invites the attention of computer vision researchers for the last three decades. However, the problem is still alive due to challenges such as - ...
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    3D shape deformations : a lie group based approach 

    Bansal, Sumukh (Dhirubhai Ambani Institute of Information and Communication Technology, 2020)
    3D shapes are ubiquitous in many fundamental tasks of computer graphics and geometry processing. For many applications, new shapes have to be generated from the existing ones, for which it it imperative to understand and ...
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