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    Computational Investigation of Starting Characteristics of An Induction Machine 

    Gupta, Siddharth Raj (2020)
    An induction machine consumes a very high inrush current during start-up, which can be potentially damaging to the machine itself and to the appliances connected. In the past, various studies focused on analytical and ...
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    Designing Efficient Barriers and Semaphores for Graphics Processing Units 

    Mahapatra, Rohan (2020-05)
    General-purpose GPU applications that use fine-grained synchronization to enforce ordering between many threads accessing shared data have become increasingly popular. Thus, it is imperative to create more efficient GPU ...
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    EVALUATION OF RADIOMICS AND MACHINE LEARNING IN IDENTIFICATION OF AGGRESSIVE TUMOR FEATURES IN RENAL CELL CARCINOMA (RCC) 

    Gurbani, Sidharth (2020)
    The purpose of this study was to evaluate the use of CT radiomics features and machine learning analysis to identify aggressive tumor features, including high nuclear grade (NG) and sarcomatoid (sarc) features, in large ...
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    Understanding Siamese Networks for Visual Object Tracking 

    Xu, Wen (2020-08)
    Visual tracking of an arbitrary object has drawn great attention in the computer vision community for years. Visual object tracking methods based on Siamese networks achieved state-of-the-art results with balanced accuracy ...

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    AuthorGupta, Siddharth Raj (1)Gurbani, Sidharth (1)Mahapatra, Rohan (1)Xu, Wen (1)SubjectInduction motor (1)six-step inverter (1)torque control (1)V/Hz control (1)visual object tracking; Siamese networks; one-shot learning (1)... View MoreDate Issued
    2020 (4)
    Has File(s)Yes (4)

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