COVID-19 health data analysis and personal data preserving: A homomorphic privacy enforcement approach-Reference-Cited by-同舟云学术

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COVID-19 health data analysis and personal data preserving: A homomorphic privacy enforcement approach

Published:2023-02 Issue: Volume:199 Page:87-97
ISSN:0140-3664
Container-title:Computer Communications
language:en
Short-container-title:Computer Communications

Author:

Dhasarathan Chandramohan,Hasan Mohammad Kamrul,Islam Shayla,Abdullah Salwani,Mokhtar Umi Asma,Javed Abdul Rehman,Goundar Sam

Funder

Universiti Kebangsaan Malaysia

Publisher

Elsevier BV

Subject

Computer Networks and Communications

Reference29 articles.

1. Harnessing the power of smart and connected health to tackle COVID-19: IoT, AI, robotics, and blockchain for a better world;Firouzi;IEEE Internet Things J.,2021

2. Machine learning on the COVID-19 pandemic, human mobility and air quality: A review;Rahman;IEEE Access,2021

3. Realizing an effective COVID-19 diagnosis system based on machine learning and IoT in smart hospital environment;Abdulkareem;IEEE Internet Things J.,2021

4. Early IgG/ IgA response in hospitalized COVID-19 patients is associated with a less severe disease;Fedele;Diagn Microbiol Infect Dis.,2022

5. Using bi-dimensional representations to understand patterns in COVID-19 blood exam data;Bezzan;Inform. Med. Unlocked,2022

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2. Enhanced multi‐key privacy‐preserving distributed deep learning protocol with application to diabetic retinopathy diagnosis;Concurrency and Computation: Practice and Experience;2024-08-22

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4. CNNFDNF: CONVOLUTIONAL NEURAL NETWORK AND CASCADE NEURO FUZZY NETWORK FOR SEVERITY LEVEL OF COVID-19 DETECTION USING CHEST X-RAY IMAGES;Biomedical Engineering: Applications, Basis and Communications;2024-06

5. Malaysia energy outlook from 1990 to 2050 for sustainability: Business-as-usual and Alternative-policy Scenarios based economic projections with AI based experiments;Energy Strategy Reviews;2024-05

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