Secure IoT Assistant-Based System for Alzheimer’s Disease-Reference-Cited by-同舟云学术

Secure IoT Assistant-Based System for Alzheimer’s Disease

Published:2022 Issue: Volume:10 Page:44305-44314
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Chokri Rania¹,Hanini Wasma²,Daoud Wided Ben¹,Chelloug Samia Allaoua³^ORCID,Makhlouf Amel Meddeb¹

Affiliation:

1. NTS’Com Research Unit, ENET’COM, University of Sfax, Sfax, Tunisia

2. Laboratory of the Advanced Electronic Systems and the Durable Energy (ESSE), University of Sfax, Sfax, Tunisia

3. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Funder

Princess Nourah bint Abdulrahman University Researchers Supporting Project

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09759280.pdf?arnumber=9759280

Reference25 articles.

1. Deep learning approach for early detection of Alzheimer’s disease;helaly;Cogn Comput,2021

2. Multimodal deep learning models for early detection of Alzheimer’s disease stage

3. Diagnosis of Alzheimer’s Disease via Multi-Modality 3D Convolutional Neural Network

4. Early diagnosis of Alzheimer’s disease using machine learning techniques: A review paper;khan;Proc 7th Int Joint Conf Knowl Discovery Knowl Eng Knowl Manage (IC3K),2015

5. A Deep Learning Model to Predict a Diagnosis of Alzheimer Disease by Using 18F-FDG PET of the Brain

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