Yoga meets intelligent internet of things: recent challenges and future directions
The physical and mental health of people can be enhanced through yoga, an excellent form
of exercise. As part of the breathing procedure, yoga involves stretching the body organs …
of exercise. As part of the breathing procedure, yoga involves stretching the body organs …
A review of the application of three-dimensional convolutional neural networks for the diagnosis of Alzheimer's disease using neuroimaging
X Xu, L Lin, S Sun, S Wu - Reviews in the Neurosciences, 2023 - degruyter.com
Alzheimer's disease (AD) is a degenerative disorder that leads to progressive, irreversible
cognitive decline. To obtain an accurate and timely diagnosis and detect AD at an early …
cognitive decline. To obtain an accurate and timely diagnosis and detect AD at an early …
Lung nodules localization and report analysis from computerized tomography (CT) scan using a novel machine learning approach
A lung nodule is a tiny growth that develops in the lung. Non-cancerous nodules do not
spread to other sections of the body. Malignant nodules can spread rapidly. One of the …
spread to other sections of the body. Malignant nodules can spread rapidly. One of the …
Early-stage Alzheimer's disease categorization using PET neuroimaging modality and convolutional neural networks in the 2D and 3D domains
Alzheimer's Disease (AD) is a health apprehension of significant proportions that is
negatively impacting the ageing population globally. It is characterized by neuronal loss and …
negatively impacting the ageing population globally. It is characterized by neuronal loss and …
EdgeSVDNet: 5G-enabled detection and classification of vision-threatening diabetic retinopathy in retinal fundus images
The rise of vision-threatening diabetic retinopathy (VTDR) underscores the imperative for
advanced and efficient early detection mechanisms. With the integration of the Internet of …
advanced and efficient early detection mechanisms. With the integration of the Internet of …
[Retracted] An AI‐Driven Hybrid Framework for Intrusion Detection in IoT‐Enabled E‐Health
F Wahab, Y Zhao, D Javeed… - Computational …, 2022 - Wiley Online Library
E‐health has grown into a billion‐dollar industry in the last decade. Its device's high
throughput makes it an obvious target for cyberattacks, and these environments desperately …
throughput makes it an obvious target for cyberattacks, and these environments desperately …
A novel framework for classification of different Alzheimer's disease stages using CNN model
G Mohi ud din dar, A Bhagat, SI Ansarullah… - Electronics, 2023 - mdpi.com
Background: Alzheimer's, the predominant formof dementia, is a neurodegenerative brain
disorder with no known cure. With the lack of innovative findings to diagnose and treat …
disorder with no known cure. With the lack of innovative findings to diagnose and treat …
Analysis of enrollment criteria in secondary schools using machine learning and data mining approach
Out-of-school children (OSC) surveys are conducted annually throughout Pakistan, and the
results show that the literacy rate is increasing gradually, but not at the desired speed …
results show that the literacy rate is increasing gradually, but not at the desired speed …
[HTML][HTML] M-Net: An encoder-decoder architecture for medical image analysis using ensemble learning
Only a few of the many subfields of biomedical science study include biomedical
engineering, biomedical signal processing, gene analysis, and biomedical image …
engineering, biomedical signal processing, gene analysis, and biomedical image …
Investigating the potential of reinforcement learning and deep learning in improving Alzheimer's disease classification
Alzheimer's disease (AD) is a progressive neurological disease that affects millions of
people worldwide, highlighting the importance of early and accurate diagnosis for effective …
people worldwide, highlighting the importance of early and accurate diagnosis for effective …