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Detection of Parkinson’s Disease with Multiple Feature Extraction Models and Darknet CNN Classification

  • Published:2022 Issue:1 Volume:43 Page:333-345
  • ISSN:0267-6192
  • Container-title:Computer Systems Science and Engineering
  • language:en
  • Short-container-title:

Author:

Prema Arokia Mary G.,Suganthi N.

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ORG-RGRU: An automated diagnosed model for multiple diseases by heuristically based optimized deep learning using speech/voice signal;Biomedical Signal Processing and Control;2024-02

2. An Adaptive Intelligent Polar Bear (AIPB) Optimization-Quantized Contempo Neural Network (QCNN) model for Parkinson’s disease diagnosis using speech dataset;Biomedical Signal Processing and Control;2024-01

3. Predicting coronary artery disease using learning rate based snow leopard optimization with soft swish scaling based bidirectional long short‐term memory;International Journal of Imaging Systems and Technology;2023-09-18

4. Convolution Neural Network and EVO Based Efficient Method for Detecting Nerve Disorders;2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS);2023-08-23

5. Parkinson Disease Identification Using Hand Written Images;2023 International Conference on Intelligent Systems for Communication, IoT and Security (ICISCoIS);2023-02-09
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