Time series forecasting of Covid-19 using deep learning models: India-USA comparative case study
Covid-19 is a highly contagious virus which almost freezes the world along with its economy.
Its ability of human-to-human and surface-to-human transmission turns the world into …
Its ability of human-to-human and surface-to-human transmission turns the world into …
U-Sleep: resilient high-frequency sleep staging
Sleep disorders affect a large portion of the global population and are strong predictors of
morbidity and all-cause mortality. Sleep staging segments a period of sleep into a sequence …
morbidity and all-cause mortality. Sleep staging segments a period of sleep into a sequence …
Federated learning and autonomous UAVs for hazardous zone detection and AQI prediction in IoT environment
Air pollution monitoring, finding the hazardous zone, and future air quality predictions have
recently become a significant issue for many researchers. With the adverse effect of low air …
recently become a significant issue for many researchers. With the adverse effect of low air …
A Review on Automated Sleep Study
M Yazdi, M Samaee, D Massicotte - Annals of Biomedical Engineering, 2024 - Springer
In recent years, research on automated sleep analysis has witnessed significant growth,
reflecting advancements in understanding sleep patterns and their impact on overall health …
reflecting advancements in understanding sleep patterns and their impact on overall health …
A comprehensive evaluation of contemporary methods used for automatic sleep staging
D Sarkar, D Guha, P Tarafdar, S Sarkar… - … Signal Processing and …, 2022 - Elsevier
This paper presents a systematic review of automatic sleep staging studies.
Polysomnographic (PSG) data is used for the study of sleep staging. The benchmark for …
Polysomnographic (PSG) data is used for the study of sleep staging. The benchmark for …
An EEG spectrogram-based automatic sleep stage scoring method via data augmentation, ensemble convolution neural network, and expert knowledge
CE Kuo, GT Chen, PY Liao - Biomedical Signal Processing and Control, 2021 - Elsevier
Scoring sleep data is a subjective and time-consuming. It takes more than one hour to score
a whole night's PSG data. The automatic sleep stage scoring systems is needed to reduce …
a whole night's PSG data. The automatic sleep stage scoring systems is needed to reduce …
Automatic sleep staging based on contextual scalograms and attention convolution neural network using single-channel EEG
Y Wei, Y Zhu, Y Zhou, X Yu… - IEEE Journal of Biomedical …, 2023 - ieeexplore.ieee.org
Single-channel EEG based sleep staging is of interest to researchers due to its broad
application prospect in daily sleep monitoring recently. We proposed using contextual …
application prospect in daily sleep monitoring recently. We proposed using contextual …
Improving performance of deep learning predictive models for COVID-19 by incorporating environmental parameters
Abstract The Coronavirus disease 2019 (COVID-19) pandemic has severely crippled the
economy on a global scale. Effective and accurate forecasting models are essential for …
economy on a global scale. Effective and accurate forecasting models are essential for …
Mixed-input deep learning approach to sleep/wake state classification by using EEG signals
MN Hasan, I Koo - Diagnostics, 2023 - mdpi.com
Sleep stage classification plays a pivotal role in predicting and diagnosing numerous health
issues from human sleep data. Manual sleep staging requires human expertise, which is …
issues from human sleep data. Manual sleep staging requires human expertise, which is …
Age-integrated artificial intelligence framework for sleep stage classification and obstructive sleep apnea screening
Introduction Sleep is an essential function to sustain a healthy life, and sleep dysfunction
can cause various physical and mental issues. In particular, obstructive sleep apnea (OSA) …
can cause various physical and mental issues. In particular, obstructive sleep apnea (OSA) …