Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Jeevan Medikonda"'
Publikováno v:
IEEE Access, Vol 12, Pp 129187-129201 (2024)
Parkinson’s Disease (PD) diagnosis with an explicit severity level assessment is essential for timely medical intervention. Gait analysis has been proven to assist in defining PD progression and Machine Learning algorithms aid in predicting the PD
Externí odkaz:
https://doaj.org/article/8e8250d4de904a66b8f73127aa1c7dd8
Autor:
D. B Niranjan, Jennifer Jacob, B. R Vaidehi, Mathew Peter, Jeevan Medikonda, Pramod K. Namboothiri
Publikováno v:
Frontiers in Nanotechnology, Vol 5 (2023)
The rapid development of wearable sensor technology can be attributed to developments in materials, microelectronics, fabrication, communication systems, and Artificial Intelligence (AI). The use of wearable sensors enables continuous acquisition and
Externí odkaz:
https://doaj.org/article/abf8aacc18f340b1b5c92f069b73a5cd
Publikováno v:
2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::773ad82bfe5badbc7b5e3ec37b2ca25e
https://doi.org/10.1109/discover55800.2022.9974754
https://doi.org/10.1109/discover55800.2022.9974754
Autor:
Sharisha Shanbhog M, Jeevan Medikonda
Publikováno v:
Computer Methods and Programs in Biomedicine. 235:107521
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::875c60c48c40d6d7246a71d7c0d7f56a
https://doi.org/10.1016/j.cmpb.2023.107521
https://doi.org/10.1016/j.cmpb.2023.107521
Publikováno v:
Engineered Science.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1f51f40373a9c14a473dd07fdb54e616
https://doi.org/10.30919/es8e622
https://doi.org/10.30919/es8e622
Publikováno v:
Soft Computing. 24:5271-5287
This paper presents a method for the extraction of twofold information set (TFIS) features for the text-independent speaker recognition. The method takes the Mel frequency cepstral coefficients from the frames of a sample speech signal and forms a ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63a247b11071e21e4e9555e67d03c455
https://doi.org/10.1007/s00500-019-04277-9
https://doi.org/10.1007/s00500-019-04277-9
Publikováno v:
2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER).
True emotions are rapid and short-lived. In realtime, two or more emotions can exist simultaneously at a given instant. The emotions can be expressed sequentially or merge to form a new emotion altogether. Combination of two or more basic emotions is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7807c576c049932c0d10a20bc65859f
https://doi.org/10.1109/discover50404.2020.9278094
https://doi.org/10.1109/discover50404.2020.9278094
Publikováno v:
2020 IEEE International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER).
Parkinson's disease (PD) patients suffer from numerous gait-related disturbances. Various factors contribute to the alteration in gait patterns, among which muscle fatigue plays a significant role. Traditional gait analysis techniques involve laborat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7ceaf6e06c2ecfdc0a16c8438b21cc97
https://doi.org/10.1109/discover50404.2020.9278096
https://doi.org/10.1109/discover50404.2020.9278096
Publikováno v:
Stroke. 51
Background: Patients suffering from subarachnoid hemorrhage (SAH) have poor long-term outcomes. There are predictive models for ischemic and hemorrhagic stroke. However, there is paucity of models for SAH. Machine learning concepts were applied to bu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53ef020243059ef40988fc9b65700125
https://doi.org/10.1161/str.51.suppl_1.tp458
https://doi.org/10.1161/str.51.suppl_1.tp458
Autor:
Jeevan Medikonda, Hanmandlu Madasu
Publikováno v:
International Journal of Speech Technology. 21:451-461
In this paper Type-2 Information Set (T2IS) features and Hanman Transform (HT) features as Higher Order Information Set (HOIS) based features are proposed for the text independent speaker recognition. The speech signals of different speakers represen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6f6e0518646c420f592e90f8b6d47dc
https://doi.org/10.1007/s10772-017-9472-7
https://doi.org/10.1007/s10772-017-9472-7