[HTML][HTML] AI-enabled organoids: construction, analysis, and application
L Bai, Y Wu, G Li, W Zhang, H Zhang, J Su - Bioactive Materials, 2024 - Elsevier
Organoids, miniature and simplified in vitro model systems that mimic the structure and
function of organs, have attracted considerable interest due to their promising applications in …
function of organs, have attracted considerable interest due to their promising applications in …
Feature weighting methods: A review
In the last decades, a wide portfolio of Feature Weighting (FW) methods have been
proposed in the literature. Their main potential is the capability to transform the features in …
proposed in the literature. Their main potential is the capability to transform the features in …
Fusion of multivariate EEG signals for schizophrenia detection using CNN and machine learning techniques
Schizophrenia is a severe mental disorder that has adverse effects on the behavior of an
individual such as disorganized speech and delusions. Electroencephalography (EEG) …
individual such as disorganized speech and delusions. Electroencephalography (EEG) …
On-site text classification and knowledge mining for large-scale projects construction by integrated intelligent approach
A large-scale project produces a lot of text data during construction commonly achieved as
various management reports. Having the right information at the right time can help the …
various management reports. Having the right information at the right time can help the …
A comprehensive study on developing an intelligent framework for identification and quantitative evaluation of the bearing defect size
An intelligent framework is necessary to detect and analyze bearing defects in rotating
machinery to prevent unexpected downtime and achieve performance per Industry 4.0 …
machinery to prevent unexpected downtime and achieve performance per Industry 4.0 …
Predictive analysis on severity of non-alcoholic fatty liver disease (nafld) using machine learning algorithms
Fatty Liver Disease (FLD) is a frequent clinical impediment that is linked with high weariness
and mortality. Despite that, an early prediction and diagnosis provide the patient with …
and mortality. Despite that, an early prediction and diagnosis provide the patient with …
Analysis of outlier detection rules based on the ASHRAE global thermal comfort database
Abstract ASHRAE Global Thermal Comfort Database has been extensively used for
analyzing specific thermal comfort parameters or models, evaluating subjective metrics, and …
analyzing specific thermal comfort parameters or models, evaluating subjective metrics, and …
An effective arrhythmia classification via ECG signal subsampling and mutual information based subbands statistical features selection
S Mian Qaisar, SF Hussain - Journal of Ambient Intelligence and …, 2023 - Springer
The deployment of wireless health wearables is increasing in the framework of mobile
health monitoring. The power and processing efficiencies with data compression are key …
health monitoring. The power and processing efficiencies with data compression are key …
Epileptic seizure classification using level-crossing EEG sampling and ensemble of sub-problems classifier
SF Hussain, SM Qaisar - Expert Systems with Applications, 2022 - Elsevier
Epilepsy is a disorder of the brain characterized by seizures and requires constant
monitoring particularly in serious patients. Electroencephalogram (EEG) signals are …
monitoring particularly in serious patients. Electroencephalogram (EEG) signals are …
Bearing defect diagnosis based on semi-supervised kernel Local Fisher Discriminant Analysis using pseudo labels
X Tao, C Ren, Q Li, W Guo, R Liu, Q He, J Zou - ISA transactions, 2021 - Elsevier
In bearings defect diagnosis applications, information fusion has been widely used to
improve identification accuracy for different types of faults, which may lead to high …
improve identification accuracy for different types of faults, which may lead to high …