Feature optimization method for machine learning-based diagnosis of schizophrenia using magnetoencephalography
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2020.108688
Abstract: BACKGROUND When many features and a small number of clinical data exist, previous studies have used a few top-ranked features from the Fisher's discriminant ratio (FDR) for feature selection. However, there are many similarities between… read more here.
Keywords: source level; feature; feature optimization; optimization method ... See more keywords
MFO-Net: A Multiscale Feature Optimization Network for UAV Image Object Detection
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2024.3382090
Abstract: Object detection in scenes captured by unmanned aerial vehicles (UAVs) is an active research area. However, the performance and efficiency of current small object detection models for UAV images are far from reaching the desired… read more here.
Keywords: feature optimization; information; object detection; feature ... See more keywords
Spectral-Temporal–Spatial Feature Optimization for Dioscorea Polystachya Turczaninow Classification Using Time Series Sentinel-2 Data
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3560391
Abstract: Dioscorea polystachya Turczaninow is one of the most famous traditional Chinese Materia Medica. However, there is a lack of large-scale classification method, which is crucial for its growth status monitoring and yield estimation. This study… read more here.
Keywords: polystachya turczaninow; feature optimization; time series; time ... See more keywords
Super Resolution Image Visual Quality Assessment Based on Feature Optimization
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1263348
Abstract: Most existing no-referenced image quality assessment (NR-IQA) algorithms need to extract features first and then predict image quality. However, only a small number of features work in the model, and the rest will degrade the… read more here.
Keywords: image quality; feature optimization; feature; image ... See more keywords
A Study on the Effect of Drift Factor on Feature Optimization in Electronic Nose Detection
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app142311366
Abstract: As an important instrument for olfactory detection in non-destructive testing (NDT), the electronic nose plays an important role in simulating olfactory detection. However, its performance is often affected by drift phenomena, including changes in sensor… read more here.
Keywords: feature optimization; drift; effect; electronic nose ... See more keywords
Occupational Injury Risk Mitigation: Machine Learning Approach and Feature Optimization for Smart Workplace Surveillance
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph192113962
Abstract: Forecasting the severity of occupational injuries shall be all industries’ top priority. The use of machine learning is theoretically valuable to assist the predictive analysis, thus, this study attempts to propose a feature-optimized predictive model… read more here.
Keywords: machine learning; feature optimization; model; occupational injury ... See more keywords