Applications and challenges of federated learning paradigm in the big data era with special emphasis on COVID-19
A Majeed, X Zhang, SO Hwang - Big Data and Cognitive Computing, 2022 - mdpi.com
Federated learning (FL) is one of the leading paradigms of modern times with higher privacy
guarantees than any other digital solution. Since its inception in 2016, FL has been …
guarantees than any other digital solution. Since its inception in 2016, FL has been …
On the adoption of modern technologies to fight the COVID-19 pandemic: a technical synthesis of latest developments
A Majeed, X Zhang - COVID, 2023 - mdpi.com
In the ongoing COVID-19 pandemic, digital technologies have played a vital role to minimize
the spread of COVID-19, and to control its pitfalls for the general public. Without such …
the spread of COVID-19, and to control its pitfalls for the general public. Without such …
A comparative evaluation between convolutional neural networks and vision transformers for COVID-19 detection
Early illness detection enables medical professionals to deliver the best care and increases
the likelihood of a full recovery. In this work, we show that computer-aided design (CAD) …
the likelihood of a full recovery. In this work, we show that computer-aided design (CAD) …
A fuzzy fine-tuned model for COVID-19 diagnosis
The COVID-19 disease pandemic spread rapidly worldwide and caused extensive human
death and financial losses. Therefore, finding accurate, accessible, and inexpensive …
death and financial losses. Therefore, finding accurate, accessible, and inexpensive …
Autoencoders and Ensemble-Based Solution for COVID-19 Diagnosis from Cough Sound
We propose a new method for COVID-19 screening from cough sound, which is based on
the extraction of Low-Level Descriptors from cough sound and make use of a Stacked …
the extraction of Low-Level Descriptors from cough sound and make use of a Stacked …
Machine learning based models for audio signal classification: Application to COVID-19 Detection
S Hamdi - 2024 - dspace.univ-setif.dz
In this thesis, we propose novel methods for COVID-19 screening, where cough sound is
used to employ various techniques. Our first approach is based on hybridizing Convolutional …
used to employ various techniques. Our first approach is based on hybridizing Convolutional …