Blockchain-federated and deep-learning-based ensembling of capsule network with incremental extreme learning machines for classification of COVID-19 using CT …

H Malik, T Anees, A Naeem, RA Naqvi, WK Loh - Bioengineering, 2023 - mdpi.com
Due to the rapid rate of SARS-CoV-2 dissemination, a conversant and effective strategy
must be employed to isolate COVID-19. When it comes to determining the identity of COVID …

Fled-block: Federated learning ensembled deep learning blockchain model for covid-19 prediction

R Durga, E Poovammal - Frontiers in Public Health, 2022 - frontiersin.org
With the SARS-CoV-2's exponential growth, intelligent and constructive practice is required
to diagnose the COVID-19. The rapid spread of the virus and the shortage of reliable testing …

Blockchain-federated-learning and deep learning models for covid-19 detection using ct imaging

R Kumar, AA Khan, J Kumar, NA Golilarz… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
With the increase of COVID-19 cases worldwide, an effective way is required to diagnose
COVID-19 patients. The primary problem in diagnosing COVID-19 patients is the shortage …

A privacy-aware method for COVID-19 detection in chest CT images using lightweight deep conventional neural network and blockchain

A Heidari, S Toumaj, NJ Navimipour, M Unal - Computers in Biology and …, 2022 - Elsevier
With the global spread of the COVID-19 epidemic, a reliable method is required for
identifying COVID-19 victims. The biggest issue in detecting the virus is a lack of testing kits …

Retracted article: evolving deep convolutional neutral network by hybrid sine–cosine and extreme learning machine for real-time COVID19 diagnosis from X-ray …

C Wu, M Khishe, M Mohammadi, SH Taher Karim… - Soft Computing, 2023 - Springer
The COVID19 pandemic globally and significantly has affected the life and health of many
communities. The early detection of infected patients is effective in fighting COVID19. Using …

[HTML][HTML] Secure internet of medical things based electronic health records scheme in trust decentralized loop federated learning consensus blockchain

M Kuliha, S Verma - International Journal of Intelligent Networks, 2024 - Elsevier
Abstract Electronic Health Records (EHRs) have become an increasingly significant source
of information for healthcare professionals and researchers. Two technical challenges are …

COVID-WideNet—A capsule network for COVID-19 detection

PK Gupta, MK Siddiqui, X Huang… - Applied Soft …, 2022 - Elsevier
Ever since the outbreak of COVID-19, the entire world is grappling with panic over its rapid
spread. Consequently, it is of utmost importance to detect its presence. Timely diagnostic …

Prediction of COVID-19-pneumonia based on selected deep features and one class kernel extreme learning machine

MA Khan, S Kadry, YD Zhang, T Akram, M Sharif… - Computers & Electrical …, 2021 - Elsevier
In this work, we propose a deep learning framework for the classification of COVID-19
pneumonia infection from normal chest CT scans. In this regard, a 15-layered convolutional …

COVID-19 identification and analysis using CT scan images: Deep transfer learning-based approach

KK Mohbey, S Sharma, S Kumar, M Sharma - Blockchain Applications for …, 2022 - Elsevier
Due to this epidemic of COVID-19, the everyday lives, welfare, and wealth of a country are
affected. Inefficiency, a lack of medical diagnostics, and inadequately trained healthcare …

Cloud‐Based Framework for COVID‐19 Detection through Feature Fusion with Bootstrap Aggregated Extreme Learning Machine

A Rehman Khan, T Saba, T Sadad… - Discrete Dynamics in …, 2022 - Wiley Online Library
Background. Cloud‐based environment for machine learning plays a vital role in medical
imaging analysis and predominantly for the people residing in rural areas where health …