Hybrid Deep Learning with TSOA Model for Predicting the Parkinson Disease using Speech Features-Reference-Cited by-同舟云学术

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Hybrid Deep Learning with TSOA Model for Predicting the Parkinson Disease using Speech Features

Published:2024-05-17 Issue: Volume:2 Page:1-7
ISSN:
Container-title:2024 Second International Conference on Data Science and Information System (ICDSIS)
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Author:

Pareek Piyush Kumar¹,Zanke Pankaj²,Prasad Anoop N³,R Mohan B³

Affiliation:

1. Nitte Meenakshi Institute of Technology,Artificial Intelligence and Machine Learning,Bengaluru,India

2. Senior Technical Business Analyst Sapiens International Corporation

3. East West Institute of Technology,Department of Computer Science and Engineering,Bengaluru,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10593798/10594006/10594225.pdf?arnumber=10594225

Reference22 articles.

1. A Novel Machine Learning-Based Artificial Voice Box

2. Glioma Detection using Improved Artificial Neural Network in MRI Images

3. LW-CNN-based extraction with optimized encoder-decoder model for detection of diabetic retinopathy

4. Effective utilisation of Geospatial Data for peer-to-peer communication among autonomous vehicles using Optimized Machine learning algorithm

5. Future Food Production Prediction Using AROA Based Hybrid Deep Learning Model in Agri-Sector

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