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  1. Book ; Online: Kinematic Control of 2-wheeled Segway

    Purohit, Palak / Modi, Poojan / Vyas, Udit

    2021  

    Abstract: The Segway is a popular self-balancing two-wheeled vehicle. In this paper, we present a control mechanism for the planar Segway problem. The open-loop analysis validates the fact that the system is unstable by default and there is a need to design a ... ...

    Abstract The Segway is a popular self-balancing two-wheeled vehicle. In this paper, we present a control mechanism for the planar Segway problem. The open-loop analysis validates the fact that the system is unstable by default and there is a need to design a closed-loop feedback to establish control for the system. This has been done by implementing a PD controller for the multiple-output system. Since the kinematic equations of the system are non-linear initially, the controller has been designed by linearizing the equations about the equilibrium point. Later, the response of the non-linear system is examined using the designed controller.
    Keywords Electrical Engineering and Systems Science - Systems and Control
    Publishing date 2021-09-24
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  2. Book ; Online: Image Inpainting using Partial Convolution

    Patel, Harsh / Kulkarni, Amey / Sahni, Shivam / Vyas, Udit

    2021  

    Abstract: Image Inpainting is one of the very popular tasks in the field of image processing with broad applications in computer vision. In various practical applications, images are often deteriorated by noise due to the presence of corrupted, lost, or ... ...

    Abstract Image Inpainting is one of the very popular tasks in the field of image processing with broad applications in computer vision. In various practical applications, images are often deteriorated by noise due to the presence of corrupted, lost, or undesirable information. There have been various restoration techniques used in the past with both classical and deep learning approaches for handling such issues. Some traditional methods include image restoration by filling gap pixels using the nearby known pixels or using the moving average over the same. The aim of this paper is to perform image inpainting using robust deep learning methods that use partial convolution layers.
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Publishing date 2021-08-19
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  3. Book ; Online: CovidExplorer

    Ambavi, Heer / Vaishnaw, Kavita / Vyas, Udit / Tiwari, Abhisht / Singh, Mayank

    A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information

    2020  

    Abstract: The entire world is engulfed in the fight against the COVID-19 pandemic, leading to a significant surge in research experiments, government policies, and social media discussions. A multi-modal information access and data visualization platform can play ... ...

    Abstract The entire world is engulfed in the fight against the COVID-19 pandemic, leading to a significant surge in research experiments, government policies, and social media discussions. A multi-modal information access and data visualization platform can play a critical role in supporting research aimed at understanding and developing preventive measures for the pandemic. In this paper, we present a multi-faceted AI-based search and visualization engine, CovidExplorer. Our system aims to help researchers understand current state-of-the-art COVID-19 research, identify research articles relevant to their domain, and visualize real-time trends and statistics of COVID-19 cases. In contrast to other existing systems, CovidExplorer also brings in India-specific topical discussions on social media to study different aspects of COVID-19. The system, demo video, and the datasets are available at http://covidexplorer.in.

    Comment: 4 pages, 7 figures, The associated system can be accessed at http://covidexplorer.in, To be published in the Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM '20) (October 19-23, 2020)(Virtual Event, Ireland)
    Keywords Computer Science - Information Retrieval ; Computer Science - Computation and Language ; Computer Science - Social and Information Networks
    Subject code 306
    Publishing date 2020-11-30
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  4. Conference proceedings ; Online: CovidExplorer ; A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information

    Ambavi, Heer / Vaishnaw, Kavita / Vyas, Udit / Tiwari, Abhisht / Singh, Mayank

    Proceedings of the 29th ACM International Conference on Information & Knowledge Management ; ISBN 9781450368599

    2020  

    Keywords covid19
    Publisher ACM
    Publishing country us
    Document type Conference proceedings ; Online
    DOI 10.1145/3340531.3417428
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

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