LightGBM-Based Fault Diagnosis of Rotating Machinery Under Changing Working Conditions Using Modified Recursive Feature Elimination
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3195939
Abstract: This article presents an intelligent and accurate framework for fault diagnosis of induction motors using light gradient boosting machine (LightGBM). The proposed framework offers promising generalization ability when the testing data contains new unseen operating… read more here.
Keywords: recursive feature; fault diagnosis; lightgbm; feature ... See more keywords
WERFE: A Gene Selection Algorithm Based on Recursive Feature Elimination and Ensemble Strategy
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Bioengineering and Biotechnology"
DOI: 10.3389/fbioe.2020.00496
Abstract: Gene selection algorithm in micro-array data classification problem finds a small set of genes which are most informative and distinctive. A well-performed gene selection algorithm should pick a set of genes that achieve high performance… read more here.
Keywords: gene selection; selection algorithm; recursive feature; feature elimination ... See more keywords
Counting Crowded Soybean Pods Based on Deformable Attention Recursive Feature Pyramid
Sign Up to like & getrecommendations! Published in 2023 at "Agronomy"
DOI: 10.3390/agronomy13061507
Abstract: Counting the soybean pods automatically has been one of the key ways to realize intelligent soybean breeding in modern smart agriculture. However, the pod counting accuracy for whole soybean plants is still limited due to… read more here.
Keywords: feature; feature pyramid; attention recursive; soybean pods ... See more keywords
Predicting Overall Survival Time in Glioblastoma Patients Using Gradient Boosting Machines Algorithm and Recursive Feature Elimination Technique
Sign Up to like & getrecommendations! Published in 2021 at "Cancers"
DOI: 10.3390/cancers13194976
Abstract: Simple Summary Despite the highly aggressive nature of glioblastoma multiforme (GBM), survival time is in practice highly variable, and some of the patients remain stable for several years after treatment. The aim of this study… read more here.
Keywords: machine; survival time; time; feature elimination ... See more keywords
Automatic and Early Detection of Parkinson’s Disease by Analyzing Acoustic Signals Using Classification Algorithms Based on Recursive Feature Elimination Method
Sign Up to like & getrecommendations! Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13111924
Abstract: Parkinson’s disease (PD) is a neurodegenerative condition generated by the dysfunction of brain cells and their 60–80% inability to produce dopamine, an organic chemical responsible for controlling a person’s movement. This condition causes PD symptoms… read more here.
Keywords: feature elimination; parkinson disease; voice; recursive feature ... See more keywords
A Fetal Well-Being Diagnostic Method Based on Cardiotocographic Morphological Pattern Utilizing Autoencoder and Recursive Feature Elimination
Sign Up to like & getrecommendations! Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13111931
Abstract: Cardiotocography (CTG), which measures the fetal heart rate (FHR) and maternal uterine contractions (UC) simultaneously, is used for monitoring fetal well-being during delivery or antenatally at the third trimester. Baseline FHR and its response to… read more here.
Keywords: morphological pattern; feature; fetal well; model ... See more keywords
Link Prediction in Complex Networks Using Recursive Feature Elimination and Stacking Ensemble Learning
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DOI: 10.3390/e24081124
Abstract: Link prediction is an important task in the field of network analysis and modeling, and predicts missing links in current networks and new links in future networks. In order to improve the performance of link… read more here.
Keywords: stacking ensemble; prediction; link prediction; recursive feature ... See more keywords
CCrFS: Combine Correlation Features Selection for Detecting Phishing Websites Using Machine Learning
Sign Up to like & getrecommendations! Published in 2022 at "Future Internet"
DOI: 10.3390/fi14080229
Abstract: Internet users are continually exposed to phishing as cybercrime in the 21st century. The objective of phishing is to obtain sensitive information by deceiving a target and using the information for financial gain. The information… read more here.
Keywords: information; machine learning; correlation recursive; correlation ... See more keywords