Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Baswaraj Mamidgi"'
Autor:
Padmalatha Pentakota, Gowrisree Rudraraju, Narayana Rao Sripada, Baswaraj Mamidgi, Charishma Gottipulla, Charan Jalukuru, Shubha Deepti Palreddy, Nikhil Kumar Reddy Bhoge, Priyanka Firmal, Venkat Yechuri, Manmohan Jain, Venkata Sudhakar Peddireddi, Devi Madhavi Bhimarasetty, S. Sreenivas, Kesava Lakshmi Prasad K, Niranjan Joshi, Shibu Vijayan, Sanchit Turaga, Vardhan Avasarala
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The Advent of Artificial Intelligence (AI) has led to the use of auditory data for detecting various diseases, including COVID-19. SARS-CoV-2 infection has claimed more than six million lives to date and therefore, needs a robust screening t
Externí odkaz:
https://doaj.org/article/a7b53fc226a642b29d217911f1cc6853
Autor:
Gayatri Devi Yellapu, Gowrisree Rudraraju, Narayana Rao Sripada, Baswaraj Mamidgi, Charan Jalukuru, Priyanka Firmal, Venkat Yechuri, Sowmya Varanasi, Venkata Sudhakar Peddireddi, Devi Madhavi Bhimarasetty, Sidharth Kanisetti, Niranjan Joshi, Prasant Mohapatra, Kiran Pamarthi
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Acoustic signal analysis has been employed in various medical devices. However, studies involving cough sound analysis to screen the potential pulmonary tuberculosis (PTB) suspects are very few. The main objective of this cross-sectional val
Externí odkaz:
https://doaj.org/article/3f56bae46865478dab979528673f4138
Autor:
Gayatri Devi Yellapu, Gowrisree Rudraraju, Narayana Rao Sripada, Baswaraj Mamidgi, Charan Jalukuru, Priyanka Firmal, Venkat Yechuri, Sowmya Varanasi, Venkata Sudhakar Peddireddi, Devi Madhavi Bhimarasetty, Sidharth Kanisetti, Niranjan Joshi, Prasant Mohapatra, Kiran Pamarthi
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-1 (2023)
Externí odkaz:
https://doaj.org/article/c61abee469394bfd874a0de40ef63922
Autor:
Gowrisree Rudraraju, ShubhaDeepti Palreddy, Baswaraj Mamidgi, Narayana Rao Sripada, Y. Padma Sai, Naveen Kumar Vodnala, Sai Praveen Haranath
Publikováno v:
Informatics in Medicine Unlocked, Vol 19, Iss , Pp 100319- (2020)
In India, there are 100 million people who suffer from various respiratory problems; globally it is about 1–1.2 billion. The main problem attributed to the prevalence of respiratory diseases is lack of cost-effective and lab-free methods for early
Externí odkaz:
https://doaj.org/article/9ad163d693f847e6b3f3d9976f52507a
Autor:
P Padmalatha, Gowrisree Rudraraju, Narayana Rao Sripada, Baswaraj Mamidgi, Charishma Gottipulla, Charan Jalukuru, ShubhaDeepti Palreddy, Nikhil kumar Reddy Bhoge, Priyanka Firmal, Venkat Yechuri, PV Sudhakar, B Devimadhavi, S Srinivas, K K L Prasad, Niranjan Joshi
The Advent of Artificial Intelligence (AI) has led to the use of auditory data for detecting various diseases, including COVID-19. SARS-CoV-2 infection has claimed more than 6 million lives till date and hence, needs a robust screening technique to c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::22c3d57547dc947fb82530b3a922b736
https://doi.org/10.1101/2022.11.02.22281821
https://doi.org/10.1101/2022.11.02.22281821
Publikováno v:
IoTSMS
In the literature so far, classification of respiratory diseases with cough signals has typically involved extracting standard spectral features such as Mel Frequency Cepstral Coefficients (MFCC), and other descriptive features such as Zero-Cross-Rat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad48fd36b8102fcb6f8900c806bc4c10
https://doi.org/10.1109/iotsms52051.2020.9340166
https://doi.org/10.1109/iotsms52051.2020.9340166