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    Chapter

    Cardiac Catheterization in Children: Diagnosis and Therapy

    Diagnostic cardiac catheterization is performed with much less frequency than the past due to advancement of other, less invasive, imaging modalities. Diagnostic cardiac catheterization may be required if othe...

    Anas Saleh Lutfi Taqatqa, Umang Gupta, Ra-id Abdulla in Heart Diseases in Children (2011)

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    Chapter

    Genetic Portrait of Bhil Tribe of Central India Based on Autosomal and X STR Loci

    India is a country of variety of populations which include various caste and tribes. In order to decipher the genetic portrait of Bhil, the highest populated tribe of Central India, we undertook a study on 183...

    Pankaj Shrivastava, Umang Gupta, Toshi Jain in Next Generation DNA Led Technologies (2016)

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    Chapter

    Intellectual Property Rights and Bioinformatics: An Introduction

    Intellectual property protection is one of the key factors for economic growth and advancement in any technological field. Intellectual property adds value to the discoveries and provides incentives to the inv...

    Shilpa, Umang Gupta in Bioinformatics: Sequences, Structures, Phylogeny (2018)

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    Chapter and Conference Paper

    A New Neighborhood-Based Outlier Detection Technique

    Outlier detection is one of the most vital and essential issues in data mining tasks. We propose a new method to detect and analyze outliers. We apply neighborhood-based outlier detection technique to detect a...

    Umang Gupta, Vandana Bhattacharjee in Proceedings of the Third International Con… (2019)

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    Chapter and Conference Paper

    DeepFP for Finding Nash Equilibrium in Continuous Action Spaces

    Finding Nash equilibrium in continuous action spaces is a challenging problem and has applications in domains such as protecting geographic areas from potential attackers. We present DeepFP, an approximate ext...

    Nitin Kamra, Umang Gupta, Kai Wang, Fei Fang in Decision and Game Theory for Security (2019)

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    Chapter and Conference Paper

    Towards Sparsified Federated Neuroimaging Models via Weight Pruning

    Federated training of large deep neural networks can often be restrictive due to the increasing costs of communicating the updates with increasing model sizes. Various model pruning techniques have been design...

    Dimitris Stripelis, Umang Gupta in Distributed, Collaborative, and Federated … (2022)