Using machine learning algorithms with in situ hyperspectral reflectance data to assess comprehensive water quality of urban rivers
J Cai, J Chen, X Dou, Q Xing - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Remotely sensed hyperspectral data can support more effective water quality monitoring.
Nevertheless, the variability and complexity of urban river water make it hard to retrieve …
Nevertheless, the variability and complexity of urban river water make it hard to retrieve …
Automatic classification of sleep stages using EEG signals and convolutional neural networks
Sleep stages classification is one of the new topics in studying human life quality because it
plays a crucial role in getting a healthy lifestyle. Abnormal changes or absence of normal …
plays a crucial role in getting a healthy lifestyle. Abnormal changes or absence of normal …
Machine-Learning-Based-Approaches for Sleep Stage Classification Utilising a Combination of Physiological Signals: A Systematic Review
Increasingly prevalent sleep disorders worldwide significantly affect the well-being of
individuals. Sleep disorder can be detected by dividing sleep into different stages. Hence …
individuals. Sleep disorder can be detected by dividing sleep into different stages. Hence …
Multimodal multiclass machine learning model for automated sleep staging based on time series data
SK Satapathy, D Loganathan - SN Computer Science, 2022 - Springer
Quality sleep is one of the integral parts of the human body, which gives proper rest to the
body. It directly promotes and supports maintaining good health, both physically and …
body. It directly promotes and supports maintaining good health, both physically and …
A novel approach for detection of consciousness level in comatose patients from EEG signals with 1-D convolutional neural network
Coma is an unresponsive state of unconsciousness from which a person cannot be
awakened. Glasgow Coma Score (GCS) is a clinical scale for determining the depth and …
awakened. Glasgow Coma Score (GCS) is a clinical scale for determining the depth and …
An effective EEG signal-based sleep staging system using machine learning techniques
SK Satapathy, S Thakkar, A Patel… - 2022 IEEE 6th …, 2022 - ieeexplore.ieee.org
Single-channel electroencephalography (EEG) is the most popular choice of sensing
modality in sleep staging studies because it widely conforms to sleep staging guidelines …
modality in sleep staging studies because it widely conforms to sleep staging guidelines …
A deep neural model CNN-LSTM network for automated sleep staging based on a single-channel EEG signal
Sleep plays a vital role in human physiological behaviors. Sleep staging is a critical criterion
for assessing sleep patterns. Therefore, it is essential to develop an automatic sleep staging …
for assessing sleep patterns. Therefore, it is essential to develop an automatic sleep staging …
Development of Efficient Ensemble Model based on Stacking Learning for Automated Sleep Staging
SK Satapathy, HK Kondaveeti… - … on Innovation and …, 2022 - ieeexplore.ieee.org
Sleep plays a vital role in maintaining good physical and mental health. Improper sleep
causes many critical diseases; sleep-related disorders are significant global challenges. The …
causes many critical diseases; sleep-related disorders are significant global challenges. The …
Automated Sleep Staging Using Single-Channel EEG Signal Based on Machine Learning Approaches
The human body contains different components, which function with several physiological
processes. It has been seen that most of these physiological processes represent …
processes. It has been seen that most of these physiological processes represent …
A Systematic Review on Latest Approaches of Automated Sleep Staging System Using Machine Intelligence Techniques
Sleep staging plays a vital role in sleep research because sometimes sleep recording errors
may cause severe problems like misinterpretations of the changes in characteristics of the …
may cause severe problems like misinterpretations of the changes in characteristics of the …