Automatic diagnosis of sleep apnea from biomedical signals using artificial intelligence techniques: Methods, challenges, and future works

P Moridian, A Shoeibi, M Khodatars… - … : Data Mining and …, 2022 - Wiley Online Library
Apnea is a sleep disorder that stops or reduces airflow for a short time during sleep. Sleep
apnea may last for a few seconds and happen for many while sleeping. This reduction in …

[HTML][HTML] Sleep disorder and apnea events detection framework with high performance using two-tier learning model design

RS Arslan - PeerJ Computer Science, 2023 - peerj.com
Sleep apnea is defined as a breathing disorder that affects sleep. Early detection of sleep
apnea helps doctors to take intervention for patients to prevent sleep apnea. Manually …

Assessing the benefits of nature-inspired algorithms for the parameterization of ANN in the prediction of water demand

SL Zubaidi, NSS Al-Bdairi… - Journal of Water …, 2023 - ascelibrary.org
Accurate forecasting techniques for a stochastic pattern of water demand are essential for
any city that faces high variability in climate factors and a shortage of water resources. This …

[HTML][HTML] Examining Participant Adherence with Wearables in an In-the-Wild Setting

HR Nolasco, A Vargo, N Bohley, C Brinkhaus, K Kise - Sensors, 2023 - mdpi.com
Wearable devices offer a wealth of data for ubiquitous computing researchers. For instance,
sleep data from a wearable could be used to identify an individual's harmful habits …

Soft Computing: Goals, importance and various problem-solving techniques

R Agrawal, O Sharma, NO Aljehane… - Journal of Integrated …, 2023 - pubs.thesciencein.org
The purpose, importance, approach, qualities, and requirement of soft computing are all
discussed in this study. Apart from that, the paper describes the work of numerous writers in …

Hybridization of particle swarm optimization algorithm with neural network for COVID‐19 using computerized tomography scan and clinical parameters

HA Sameer, SK Gharghan… - The Journal of …, 2023 - Wiley Online Library
The 2019 coronavirus disease began in Wuhan, China, and spread worldwide. This
pandemic was concerning, given its significant and worrying impact on human health …

An Optimized Hardware Inference of SABiNN: Shift-Accumulate Binarized Neural Network for Sleep Apnea Detection

O Hassan, T Paul, N Amin, T Titirsha… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
This article presents the design of an optimized hardware-based neural network (NN) called
a shift-accumulate binarized NN (SABiNN). SABiNN is used in detecting respiratory-related …

A CPSOCGSA-tuned neural processor for forecasting river water salinity: Euphrates river, Iraq

ZS Khudhair, SL Zubaidi, H Al-Bugharbee… - Cogent …, 2022 - Taylor & Francis
Salinity is a classic problem in water quality management since it is directly associated with
low water quality indices. Debate continues about selecting the best model for water quality …

ESSCNN-automatic sleep apnea detection throughpre-trained ResNet50 using electrocardiogram signal

N Singh, RH Talvekar - 2022 5th International Conference on …, 2022 - ieeexplore.ieee.org
Sleep apnea (SA) is caused due to sudden drops in oxygen levels which create stress in the
body. SA is increasingly common in our society. SA is characterized by airway collapse …

Hybrid Adam Coati Optimization with DLSTM for Biomedical Parameter Prediction Using Sensor

L Rajesh, HS Mohan, MK Bindiya - 2024 Third International …, 2024 - ieeexplore.ieee.org
A real-time patient monitoring system procesfses a wide range of biomedical parameters
and can store and safely capture biomedical parameters. It lowers the diagnosis time of the …