Effective voting ensemble of homogenous ensembling with multiple attribute-selection approaches for improved identification of thyroid disorder
Thyroid disease is characterized by abnormal development of glandular tissue on the
periphery of the thyroid gland. Thyroid disease occurs when this gland produces an …
periphery of the thyroid gland. Thyroid disease occurs when this gland produces an …
Driving drowsiness detection using spectral signatures of EEG-based neurophysiology
Introduction: Drowsy driving is a significant factor causing dire road crashes and casualties
around the world. Detecting it earlier and more effectively can significantly reduce the lethal …
around the world. Detecting it earlier and more effectively can significantly reduce the lethal …
[PDF][PDF] Hyperspectral Images-Based Crop Classification Scheme for Agricultural Remote Sensing.
Hyperspectral imaging is gaining a significant role in agricultural remote sensing
applications. Its data unit is the hyperspectral cube which holds spatial information in two …
applications. Its data unit is the hyperspectral cube which holds spatial information in two …
Automatic sleep stage classification using deep learning: signals, data representation, and neural networks
P Liu, W Qian, H Zhang, Y Zhu, Q Hong, Q Li… - Artificial Intelligence …, 2024 - Springer
In clinical practice, sleep stage classification (SSC) is a crucial step for physicians in sleep
assessment and sleep disorder diagnosis. However, traditional sleep stage classification …
assessment and sleep disorder diagnosis. However, traditional sleep stage classification …
Deciphering Post-Stroke Sleep Disorders: Unveiling Neurological Mechanisms in the Realm of Brain Science
P Chen, W Wang, W Ban, K Zhang, Y Dai, Z Yang… - Brain Sciences, 2024 - mdpi.com
Sleep disorders are the most widespread mental disorders after stroke and hurt survivors'
functional prognosis, response to restoration, and quality of life. This review will address an …
functional prognosis, response to restoration, and quality of life. This review will address an …
[PDF][PDF] Efficient thyroid disorder identification with weighted voting ensemble of super learners by using adaptive synthetic sampling technique
There are millions of people suffering from thyroid disease all over the world. For thyroid
cancer to be effectively treated and managed, a correct diagnosis is necessary. In this …
cancer to be effectively treated and managed, a correct diagnosis is necessary. In this …
Ensemble-based effective diagnosis of thyroid disorder with various feature selection techniques
Thyroid illness is characterized by the abnormal growth of thyroid tissue on the thyroid
gland's periphery. Hyperthyroidism and hypothyroidism are the two most common types of …
gland's periphery. Hyperthyroidism and hypothyroidism are the two most common types of …
EEG spectral comparison between occipital and prefrontal cortices for early detection of driver drowsiness
A passive brain-computer interface (BCI) based upon electroencephalography (EEG) brain
signals was developed to classify alert and drowsy states during the driving task. This BCI …
signals was developed to classify alert and drowsy states during the driving task. This BCI …
Bearing fault detection scheme using machine learning for condition monitoring applications
Bearings are the significant components among the rolling machine elements subjected to
high wear and tear. The timely detection of faults in such components rotating at higher …
high wear and tear. The timely detection of faults in such components rotating at higher …
Applying antagonistic activation pattern to the single-trial classification of mental arithmetic
S Liu - Heliyon, 2022 - cell.com
Background At present, the application of fNIRS in the field of brain-computer interface (BCI)
is being a hot topic. By fNIRS-BCI, the brain realizes the control of external devices. A state …
is being a hot topic. By fNIRS-BCI, the brain realizes the control of external devices. A state …