Zobrazeno 1 - 10 of 10 pro vyhledávání: '"Kranthi Kumar Lella"'
1
Akademický článek
Automatic diagnosis of COVID-19 disease using deep convolutional neural network with multi-feature channel from respiratory sound data: Cough, voice, and breath
Autor: Kranthi Kumar Lella, Alphonse Pja
Publikováno v: Alexandria Engineering Journal, Vol 61, Iss 2, Pp 1319-1334 (2022)
The problem of respiratory sound classification has received good attention from the clinical scientists and medical researcher’s community in the last year to the diagnosis of COVID-19 disease. The Artificial Intelligence (AI) based models deploye
Externí odkaz: https://doaj.org/article/9c9968a2b5af41ddb9e6ef3a2fe26217
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3
Akademický článek
A literature review on COVID-19 disease diagnosis from respiratory sound data
Autor: Kranthi Kumar Lella, Alphonse PJA
Publikováno v: AIMS Bioengineering, Vol 8, Iss 2, Pp 140-153 (2021)
The World Health Organization (WHO) has announced a COVID-19 was a global pandemic in March 2020. It was initially started in china in the year 2019 December and affected an expanding number of nations in various countries in the last few months. In
Externí odkaz: https://doaj.org/article/7df1f3d38e8e432593feda53e6754be4
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4
Akademický článek
COVID-19: respiratory disease diagnosis with regularized deep convolutional neural network using human respiratory sounds.
Autor: Kranthi Kumar, Lella, Alphonse, P. J. A.
Publikováno v: European Physical Journal: Special Topics; Dec2022, Vol. 231 Issue 18-20, p3673-3696, 24p
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5
Akademický článek
COVID-19 disease diagnosis with light-weight CNN using modified MFCC and enhanced GFCC from human respiratory sounds.
Autor: Kranthi Kumar, Lella, Alphonse, P.J.A.
Publikováno v: European Physical Journal: Special Topics; Dec2022, Vol. 231 Issue 18-20, p3329-3346, 18p
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6
Automatic COVID-19 disease diagnosis using 1D convolutional neural network and augmentation with human respiratory sound based on parameters: cough, breath, and voice
Autor: Alphonse Pja, Kranthi Kumar Lella
Publikováno v: AIMS Public Health
AIMS Public Health, Vol 8, Iss 2, Pp 240-264 (2021)
The issue in respiratory sound classification has attained good attention from the clinical scientists and medical researcher's group in the last year to diagnosing COVID-19 disease. To date, various models of Artificial Intelligence (AI) entered int
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2972a1779ec6c73aa9acbc2c646e8a7c
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8
Akademický článek
A literature review on COVID-19 disease diagnosis from respiratory sound data.
Autor: Lella, Kranthi Kumar1, P. J. A., Alphonse1 alphonse@nitt.edu
Publikováno v: AIMS Bioengineering. 2021, Vol. 8 Issue 2, p140-153. 14p.
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10
Elektronická kniha
Proceedings of the 2023 1st International Conference on Advanced Informatics and Intelligent Information Systems (ICAI3S 2023)
Autor: Andiko Putro Suryotomo, Heru Cahya Rustamaji
This is an open access book.We are delighted to invite you to participate in the 2023 1st International Conference on Advanced Informatics and Intelligent Information Systems (ICAI3S 2023), which will be held in Yogyakarta, Indonesia from November 2
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