Voice Pathology Detection Demonstrates the Integration of AI and IoT in Smart Healthcare
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-58953-9_11
Reference28 articles.
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3. Kempster, G.B., Gerratt, B.R., Verdolini Abbott, K., Barkmeier-Kraemer, J., Hillman, R.E.: Consensus auditory-perceptual evaluation of voice: development of a standardized clinical protocol. Amer. J. Speech-Lang. Pathol. 18(2), 124–132 (2009)
4. Muhammad, G., Rahman, S.M.M., Alelaiwi, A., Alamri, A.: Smart health solution integrating IOT and cloud: a case study of voice pathology monitoring. IEEE Commun. Mag. 55(1), 69–73 (2017)
5. Mustafa, M.A., et al.: The potential of 2D carbon nitride monolayer as an efficient adsorbent for capturing mercury: a DFT study. Diamond Relat. Mater. 141, 110566 (2024). https://doi.org/10.1016/j.diamond.2023.110566
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