An overview of deep learning techniques for epileptic seizures detection and prediction based on neuroimaging modalities: Methods, challenges, and future works

A Shoeibi, P Moridian, M Khodatars… - Computers in biology …, 2022 - Elsevier
Epilepsy is a disorder of the brain denoted by frequent seizures. The symptoms of seizure
include confusion, abnormal staring, and rapid, sudden, and uncontrollable hand …

[PDF][PDF] Edge Computing in Healthcare Using Machine Learning: A Systematic Literature

A Mashmool - 2024 - researchgate.net
Healthcare is undergoing a significant transformation, driven by rapid technological
advancements. In recent years, it has become evident that artificial intelligence is boosting …

[PDF][PDF] Edge computing nel settore medicale basato sul machine learning: una review sistematica

A Mashmool - 2024 - unire.unige.it
Healthcare is undergoing a significant transformation, driven by rapid technological
advancements. In recent years, it has become evident that artificial intelligence is boosting …

Edge Computing And Convolutional Neural Networks For Real-Time Object Detection In Healthcare Iot

R Kumar, S Pundir, A Shrivastava… - … for Innovations in …, 2023 - ieeexplore.ieee.org
In order to provide real-time identification of objects in Internet of Things (IoT) software for
the healthcare industry, this research examines the incorporation of cutting-edge computing …

A secure cloud system for maintaining COVID-19 patient's data using image steganography

N Subramanian, S Al-Maadeed - … , Trauma & Acute Care, Qatar Health …, 2021 - qscience.com
Background: The COVID-19 pandemic has been life-threatening for many people and as
such, a contactless medical system is necessary to prevent the spread of the virus. Smart …