[HTML][HTML] Machine learning-based data-driven fault detection/diagnosis of lithium-ion battery: A critical review
Fault detection/diagnosis has become a crucial function of the battery management system
(BMS) due to the increasing application of lithium-ion batteries (LIBs) in highly sophisticated …
(BMS) due to the increasing application of lithium-ion batteries (LIBs) in highly sophisticated …
A review of automated sleep stage scoring based on physiological signals for the new millennia
O Faust, H Razaghi, R Barika, EJ Ciaccio… - Computer methods and …, 2019 - Elsevier
Abstract Background and Objective Sleep is an important part of our life. That importance is
highlighted by the multitude of health problems which result from sleep disorders. Detecting …
highlighted by the multitude of health problems which result from sleep disorders. Detecting …
An attention-based deep learning approach for sleep stage classification with single-channel EEG
Automatic sleep stage mymargin classification is of great importance to measure sleep
quality. In this paper, we propose a novel attention-based deep learning architecture called …
quality. In this paper, we propose a novel attention-based deep learning architecture called …
Joint classification and prediction CNN framework for automatic sleep stage classification
Correctly identifying sleep stages is important in diagnosing and treating sleep disorders.
This paper proposes a joint classification-and-prediction framework based on convolutional …
This paper proposes a joint classification-and-prediction framework based on convolutional …
Multi-view spatial-temporal graph convolutional networks with domain generalization for sleep stage classification
Sleep stage classification is essential for sleep assessment and disease diagnosis.
Although previous attempts to classify sleep stages have achieved high classification …
Although previous attempts to classify sleep stages have achieved high classification …
A deep learning model for automated sleep stages classification using PSG signals
Sleep disorder is a symptom of many neurological diseases that may significantly affect the
quality of daily life. Traditional methods are time-consuming and involve the manual scoring …
quality of daily life. Traditional methods are time-consuming and involve the manual scoring …
Automated skeletal classification with lateral cephalometry based on artificial intelligence
HJ Yu, SR Cho, MJ Kim, WH Kim… - Journal of Dental …, 2020 - journals.sagepub.com
Lateral cephalometry has been widely used for skeletal classification in orthodontic
diagnosis and treatment planning. However, this conventional system, requiring manual …
diagnosis and treatment planning. However, this conventional system, requiring manual …
[HTML][HTML] Physiology, sleep stages
The human body cycles through two phases of sleep,(1) rapid eye movement (REM) and (2)
non-rapid eye movement (NREM) sleep, which is further divided into three stages, N1-N3 …
non-rapid eye movement (NREM) sleep, which is further divided into three stages, N1-N3 …
Robust sleep stage classification with single-channel EEG signals using multimodal decomposition and HMM-based refinement
D Jiang, Y Lu, MA Yu, W Yuanyuan - Expert Systems with Applications, 2019 - Elsevier
Sleep stage classification is a most important process in sleep scoring which is used to
evaluate sleep quality and diagnose sleep-related diseases. Compared to complex sleep …
evaluate sleep quality and diagnose sleep-related diseases. Compared to complex sleep …
[HTML][HTML] Internal short circuit detection in Li-ion batteries using supervised machine learning
With the proliferation of Li-ion batteries in smart phones, safety is the main concern and an
on-line detection of battery faults is much wanting. Internal short circuit is a very critical issue …
on-line detection of battery faults is much wanting. Internal short circuit is a very critical issue …