A comprehensive survey on multimodal medical signals fusion for smart healthcare systems

G Muhammad, F Alshehri, F Karray, A El Saddik… - Information …, 2021 - Elsevier
Smart healthcare is a framework that utilizes technologies such as wearable devices, the
Internet of Medical Things (IoMT), sophisticated machine learning algorithms, and wireless …

A comprehensive survey of the Internet of Things (IoT) and AI-based smart healthcare

F Alshehri, G Muhammad - IEEE access, 2020 - ieeexplore.ieee.org
Smart health care is an important aspect of connected living. Health care is one of the basic
pillars of human need, and smart health care is projected to produce several billion dollars …

Multi-disease prediction based on deep learning: a survey

S Xie, Z Yu, Z Lv - Computer Modeling in Engineering & …, 2021 - ingentaconnect.com
In recent years, the development of artificial intelligence (AI) and the gradual beginning of
AI's research in the medical field have allowed people to see the excellent prospects of the …

[HTML][HTML] Medical image-based detection of COVID-19 using Deep Convolution Neural Networks

L Gaur, U Bhatia, NZ Jhanjhi, G Muhammad… - Multimedia …, 2023 - Springer
The demand for automatic detection of Novel Coronavirus or COVID-19 is increasing across
the globe. The exponential rise in cases burdens healthcare facilities, and a vast amount of …

Deep learning-based smart predictive evaluation for interactive multimedia-enabled smart healthcare

Z Lv, Z Yu, S Xie, A Alamri - ACM Transactions on Multimedia Computing …, 2022 - dl.acm.org
Two-dimensional arrays of bi-component structures made of cobalt and permalloy elliptical
dots with thickness of 25 nm, length 1 mm and width of 225 nm, have been prepared by a …

Boosting breast cancer detection using convolutional neural network

SA Alanazi, MM Kamruzzaman… - Journal of …, 2021 - Wiley Online Library
Breast cancer forms in breast cells and is considered as a very common type of cancer in
women. Breast cancer is also a very life‐threatening disease of women after lung cancer. A …

Lies kill, facts save: Detecting COVID-19 misinformation in twitter

MS Al-Rakhami, AM Al-Amri - Ieee Access, 2020 - ieeexplore.ieee.org
Online social networks (ONSs) such as Twitter have grown to be very useful tools for the
dissemination of information. However, they have also become a fertile ground for the …

A survey of data fusion in smart city applications

BPL Lau, SH Marakkalage, Y Zhou, NU Hassan… - Information …, 2019 - Elsevier
The advancement of various research sectors such as Internet of Things (IoT), Machine
Learning, Data Mining, Big Data, and Communication Technology has shed some light in …

Cervical cancer classification using convolutional neural networks and extreme learning machines

A Ghoneim, G Muhammad, MS Hossain - Future Generation Computer …, 2020 - Elsevier
Cervical cancer is one of the main reasons of death from cancer in women. The complication
of this cancer can be limited if it is diagnosed and treated at an early stage. In this paper, we …

[PDF][PDF] Measuring and preventing COVID-19 using the SIR model and machine learning in smart health care

SA Alanazi, MM Kamruzzaman… - Journal of …, 2020 - downloads.hindawi.com
COVID-19 presents an urgent global challenge because of its contagious nature, frequently
changing characteristics, and the lack of a vaccine or effective medicines. A model for …