Privacy-enhanced pneumonia diagnosis: IoT-enabled federated multi-party computation in industry 5.0

AA Siddique, W Boulila, MS Alshehri… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Pneumonia is a significant global health concern that can lead to severe and sometimes
fatal consequences. Timely identification and classification of pneumonia can substantially …

Intelligent reflecting surface-based non-LOS human activity recognition for next-generation 6G-enabled healthcare system

U Saeed, SA Shah, MZ Khan, AA Alotaibi, T Althobaiti… - Sensors, 2022 - mdpi.com
Human activity monitoring is a fascinating area of research to support autonomous living in
the aged and disabled community. Cameras, sensors, wearables, and non-contact …

Securing the classification of covid-19 in chest x-ray images: A privacy-preserving deep learning approach

W Boulila, A Ammar, B Benjdira… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
Deep learning (DL) is being increasingly utilized in healthcare-related fields due to its
outstanding efficiency. However, we have to keep the individual health data used by DL …

Deep convolutional neural networks for detecting COVID-19 using medical images: a survey

R Khattab, IR Abdelmaksoud, S Abdelrazek - New Generation Computing, 2023 - Springer
Abstract Coronavirus Disease 2019 (COVID-19), which is caused by Severe Acute
Respiratory Syndrome Coronavirus 2 (SARS-COV-2), surprised the world in December …

Contactless human activity recognition using deep learning with flexible and scalable software define radio

MZ Khan, J Ahmad, W Boulila… - 2023 International …, 2023 - ieeexplore.ieee.org
Ambient computing is gaining popularity as a major technological advancement for the
future. The modern era has witnessed a surge in the advancement in healthcare systems …

Deep Convolutional Neural Networks for Detecting COVID-19 Using Medical Images: A Survey

K Rana, A Islam R, A Samir - 2023 - dlib.phenikaa-uni.edu.vn
Coronavirus Disease 2019 (COVID-19), which is caused by Severe Acute Respiratory
Syndrome Coronavirus 2 (SARS-COV-2), surprised the world in December 2019 and has …

TriSense: RFID, radar, and USRP-based hybrid sensing system for enhanced sensing and monitoring

MZ Khan - 2024 - theses.gla.ac.uk
This thesis presents a comprehensive approach to contactless human activity recognition
(HAR) using the capabilities of three distinct technologies: radio frequency identification …

Advanced Sensing Techniques for Intelligent Human Activity Recognition Using Machine Learning

SA Shah, QH Abbasi, J Ahmad, MA Imran - Electronics, 2023 - mdpi.com
State-of-the-art network architectures ensure fast and dependable real-time communication
with abundant data and minimal delays [1, 2]. This technology has the potential to transform …