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 …
pillars of human need, and smart health care is projected to produce several billion dollars …
Artificial intelligence of things for smarter healthcare: A survey of advancements, challenges, and opportunities
Healthcare systems are under increasing strain due to a myriad of factors, from a steadily
ageing global population to the current COVID-19 pandemic. In a world where we have …
ageing global population to the current COVID-19 pandemic. In a world where we have …
[HTML][HTML] A review on computer aided diagnosis of acute brain stroke
Amongst the most common causes of death globally, stroke is one of top three affecting over
100 million people worldwide annually. There are two classes of stroke, namely ischemic …
100 million people worldwide annually. There are two classes of stroke, namely ischemic …
[HTML][HTML] ALBAE feature extraction based lung pneumonia and cancer classification
Lung cancer is a deadly disease showing uncontrolled proliferation of malignant cells in the
lungs. If the lung cancer is detected in early stages, it can be cured before critical stage. In …
lungs. If the lung cancer is detected in early stages, it can be cured before critical stage. In …
A hybrid random forest deep learning classifier empowered edge cloud architecture for COVID-19 and pneumonia detection
M Hemalatha - Expert Systems with Applications, 2022 - Elsevier
COVID-19 is a global pandemic that mostly affects patients' respiratory systems, and the only
way to protect oneself against the virus at present moment is to diagnose the illness, isolate …
way to protect oneself against the virus at present moment is to diagnose the illness, isolate …
EIS-Net: Segmenting early infarct and scoring ASPECTS simultaneously on non-contrast CT of patients with acute ischemic stroke
Detecting early infarct (EI) plays an essential role in patient selection for reperfusion therapy
in the management of acute ischemic stroke (AIS). EI volume at acute or hyper-acute stage …
in the management of acute ischemic stroke (AIS). EI volume at acute or hyper-acute stage …
Integrated failure analysis using machine learning predictive system for smart management of medical equipment maintenance
The study aims to develop the failure analysis predictive models, which prognosticate first
failure event (FFE), failure-to-year ratio (FYR), and failure rectification group (FRG). The …
failure event (FFE), failure-to-year ratio (FYR), and failure rectification group (FRG). The …
Deep learning-enhanced internet of medical things to analyze brain ct scans of hemorrhagic stroke patients: a new approach
Stroke is among the first pathologies that kill the most in the world, ranking second in deaths
from illness. Each year, around 16 million people worldwide are victims of this disease, with …
from illness. Each year, around 16 million people worldwide are victims of this disease, with …
Multi-sensor edge computing architecture for identification of failures short-circuits in wind turbine generators
Y Xu, NMM Nascimento, PHF de Sousa… - Applied Soft …, 2021 - Elsevier
Towards connectivity and development of reliable systems, smarting sensors are vastly
applied in hi-tech industries. The wind energy is a growing market that could benefit from …
applied in hi-tech industries. The wind energy is a growing market that could benefit from …
[HTML][HTML] A multi-criteria decision intelligence framework to predict fire danger ratings in underground engineering structures
A wide variety of natural catastrophes are induced by coal mining, with fire hazard being one
of the most significant threats to underground engineering structures. In recent years, there …
of the most significant threats to underground engineering structures. In recent years, there …