Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights
Conventional damage detection techniques are gradually being replaced by state-of-the-art
smart monitoring and decision-making solutions. Near real-time and online damage …
smart monitoring and decision-making solutions. Near real-time and online damage …
A comprehensive review of dimensionality reduction techniques for feature selection and feature extraction
Due to sharp increases in data dimensions, working on every data mining or machine
learning (ML) task requires more efficient techniques to get the desired results. Therefore, in …
learning (ML) task requires more efficient techniques to get the desired results. Therefore, in …
A dependable hybrid machine learning model for network intrusion detection
Network intrusion detection systems (NIDSs) play an important role in computer network
security. There are several detection mechanisms where anomaly-based automated …
security. There are several detection mechanisms where anomaly-based automated …
Not all features matter: Enhancing few-shot clip with adaptive prior refinement
Abstract The popularity of Contrastive Language-Image Pre-training (CLIP) has propelled its
application to diverse downstream vision tasks. To improve its capacity on downstream …
application to diverse downstream vision tasks. To improve its capacity on downstream …
Latest developments in gear defect diagnosis and prognosis: A review
Gears are an important component of industrial machinery and a breakdown of machinery
on account of the failure of gears could result in immense production loss. Timely monitoring …
on account of the failure of gears could result in immense production loss. Timely monitoring …
A comprehensive review on critical issues and possible solutions of motor imagery based electroencephalography brain-computer interface
Motor imagery (MI) based brain–computer interface (BCI) aims to provide a means of
communication through the utilization of neural activity generated due to kinesthetic …
communication through the utilization of neural activity generated due to kinesthetic …
Recent developments in smart city assessment: A bibliometric and content analysis-based literature review
P Hajek, A Youssef, V Hajkova - Cities, 2022 - Elsevier
Cities around the world are increasingly competing to upgrade their infrastructure and
smartness levels to attract talent, become more effective and sustainable. However …
smartness levels to attract talent, become more effective and sustainable. However …
Tool condition monitoring for high-performance machining systems—A review
In the era of the “Industry 4.0” revolution, self-adjusting and unmanned machining systems
have gained considerable interest in high-value manufacturing industries to cope with the …
have gained considerable interest in high-value manufacturing industries to cope with the …
Eleven quick tips for data cleaning and feature engineering
Applying computational statistics or machine learning methods to data is a key component of
many scientific studies, in any field, but alone might not be sufficient to generate robust and …
many scientific studies, in any field, but alone might not be sufficient to generate robust and …
Boosting arithmetic optimization algorithm with genetic algorithm operators for feature selection: Case study on cox proportional hazards model
Feature selection is a well-known prepossessing procedure, and it is considered a
challenging problem in many domains, such as data mining, text mining, medicine, biology …
challenging problem in many domains, such as data mining, text mining, medicine, biology …