A Deep Review to Find the Most Accurate Method Among KNN,RF and MLP for Predicting Alzheimer Disease-Reference-Cited by-同舟云学术

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A Deep Review to Find the Most Accurate Method Among KNN,RF and MLP for Predicting Alzheimer Disease

Published:2024-05-14 Issue: Volume: Page:64-68
ISSN:
Container-title:2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)
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Author:

Subathra K.¹,Malakar Antara²,Suhasini S³,Prakash Sneha⁴,Abed Sarah Jassim⁵,Abdtawfeeq Tareq Hafdhi⁶

Affiliation:

1. Sri Sairam Engineering College,Department of Mathematics,Chennai,44

2. The Assam Royal Global University,Department of Computer Science & Engineering,Guwahati

3. CVR College of Engineering,Hyderabad

4. Adi shankara institute of engineering & technology,Department of computer applications,kalady

5. National University of Science and Technology,Collage of Nursing,Dhi Qar,Iraq,64001

6. Al-Farahidi university,Baghdad,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10616389/10616398/10616780.pdf?arnumber=10616780

Reference18 articles.

1. ZEBRA technology: low cost bifacial IBC solar cells in mass production with efficiency exceeding 23.5%

2. Computer network connection enhancement optimization algorithm based on convolutional neural network

3. Constructing Convolutional Neural Networks Based on Quaternion

4. Research on Corrosion Recognition Method of Steel Based on Convolutional Neural Network

5. Novel Predictive Analyzer for the Intrusion Detection in Student Interactive Systems using Convolutional Neural Network algorithm over Artificial Neural Network Algorithm

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