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Modified K-means with Cluster Assignment -- Application to COVID-19 Data

Autor: Rawat, Shreyash, Vijayarajan, V., Prasath, V. B. Surya

Text extraction is a highly subjective problem which depends on the dataset that one is working on and the kind of summarization details that needs to be extracted out. All the steps ranging from preprocessing of the data, to the choice of an optimal

Externí odkaz: http://arxiv.org/abs/2402.03380

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Note on the Existence of Minimizers for Variational Geometric Active Contours

Autor: Diop, El Hadji S., Burdin, Valérie, Prasath, V. B. Surya

We propose here a proof of existence of a minimizer of a segmentation functional based on a priori information on target shapes, and formulated with level sets. The existence of a minimizer is very important, because it guarantees the convergence of

Externí odkaz: http://arxiv.org/abs/2210.12773

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Federated learning: Applications, challenges and future directions

Autor: Bharati, Subrato, Mondal, M. Rubaiyat Hossain, Podder, Prajoy, Prasath, V. B. Surya

Publikováno v: International Journal of Hybrid Intelligent Systems, vol. 18, no. 1-2, pp. 19-35, 2022

Federated learning (FL) is a system in which a central aggregator coordinates the efforts of multiple clients to solve machine learning problems. This setting allows training data to be dispersed in order to protect privacy. The purpose of this paper

Externí odkaz: http://arxiv.org/abs/2205.09513

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Deep Learning for Medical Image Registration: A Comprehensive Review

Autor: Bharati, Subrato, Mondal, M. Rubaiyat Hossain, Podder, Prajoy, Prasath, V. B. Surya

Publikováno v: International Journal of Computer Information Systems and Industrial Management Applications (ISSN 2150-7988), Volume 14, pp. 173-190, 2022

Image registration is a critical component in the applications of various medical image analyses. In recent years, there has been a tremendous surge in the development of deep learning (DL)-based medical image registration models. This paper provides

Externí odkaz: http://arxiv.org/abs/2204.11341

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Deep learning for identification and face, gender, expression recognition under constraints

Autor: Hassanat, Ahmad B., Albustanji, Abeer, Tarawneh, Ahmad S., Alrashidi, Malek, Alharbi, Hani, Alanazi, Mohammed, Alghamdi, Mansoor, Alkhazi, Ibrahim S, Prasath, V. B. Surya

Biometric recognition based on the full face is an extensive research area. However, using only partially visible faces, such as in the case of veiled-persons, is a challenging task. Deep convolutional neural network (CNN) is used in this work to ext

Externí odkaz: http://arxiv.org/abs/2111.01930

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Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Review

Autor: Bharati, Subrato, Podder, Prajoy, Mondal, M. Rubaiyat Hossain, Prasath, V. B. Surya

Publikováno v: International Journal of Computer Information Systems and Industrial Management Applications(ISSN 2150-7988), Volume 13, 2021

The outbreak of novel coronavirus disease (COVID- 19) has claimed millions of lives and has affected all aspects of human life. This paper focuses on the application of deep learning (DL) models to medical imaging and drug discovery for managing COVI

Externí odkaz: http://arxiv.org/abs/2107.09602

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