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1. Soft Sensor Modeling of Acrylic Acid Yield Based on Autoencoder Long Short‐Term Memory Neural Network of Savitzky–Golay and ReliefF Algorithm NSTL国家科技图书文献中心

Shuting Liu |  Wenbo Zhang... -  《Journal of Chemometrics》 - 2025,39(1) - n/a~n/a - 共15页

摘要: Savitzky–Golay and ReliefF method is presented in this |  measurement. Then, ReliefF algorithm is developed to | ABSTRACT Acrylic acid yield (AAY) is a key |  quality index in production process of acrylic acid | . Meanwhile, AAY has been considered as direct
关键词: acrylic acid yield |  long short‐term memory |  ReliefF |  Savitzky–Golay

2. Prediction of SO 2 concentration at desulfurization outlet of thermal power units based on reliefF-SC and ISAO-ARELM NSTL国家科技图书文献中心

Dong, Ze |  Zhao, Xinxin... -  《Measurement Science & Technology》 - 2025,36(1) - 1~13 - 共13页

摘要: algorithm ReliefF-SC and the improved snow ablation |  variables are compensated and the ReliefF-SC algorithm | The flue gas desulfurization (FGD) system of |  thermal power units operates under complex conditions |  and exhibits significant nonlinearity. Establishing
关键词: flue gas desulfurization (FGD) |  feature selection |  extreme learning machine (ELM) |  SO2 concentration prediction |  snow ablation optimizer(SAO)

3. Evaluation of an Image-based Classification Model to Identify Glioma Subtypes Using Arterial Spin Labeling Perfusion MRI On the Publicly Available UCSF Glioma Dataset NSTL国家科技图书文献中心

Amador, K. |  Kniep, H.... -  《Clinical neuroradiology.》 - 2025,35(1) - 151~158 - 共8页

摘要: framework consisting of ReliefF feature ranking and | PurposeGlioma is a complex cancer comprising |  various subtypes and mutations, which may have different |  metabolic characteristics that can potentially be |  investigated and identified using perfusion imaging
关键词: Glioma |  Radiomics |  Arterial Spin Labeling |  ReliefF |  Logistic model tree

4. Evolutionary LightGBM-Based Intrusion Detection System for IoT Networks NSTL国家科技图书文献中心

Khushi Singal |  Nisha Kandhoul... -  《International journal of communication systems》 - 2025,38(5) - e70031.1~e70031.10 - 共10页

摘要: IoT data, ReliefF algorithm for feature selection | With the rapid growth of the Internet of |  Things (IoT), securing interconnected devices is |  becoming increasingly critical. This paper introduces the |  LightShield intrusion detection system (IDS) to enhance
关键词: anomaly detection |  intrusion detection |  internet of things (IoT) |  LightShield IDS |  ReliefF algorithm |  security

5. A feature extraction method for rotating machinery fault diagnosis based on a multiscale entropy fusion strategy and GA-RL-LDA model NSTL国家科技图书文献中心

Na,Lu |  Zhongliang,Li... -  《Soft computing》 - 2025,29(3) - 1747~1765 - 共19页

摘要: feature set. Then, based on the ReliefF algorithm and | Abstract Aiming at the problems of information |  loss, feature redundancy and unsatisfactory diagnosis |  accuracy when using traditional multiscale entropy |  methods and feature reduction methods to diagnose
关键词: Multiscale entropy |  Feature extraction |  ReliefF algorithm |  Laplacian score |  Linear discriminant analysis |  Fault diagnosis

6. A colorimetric sensor array combined with a hybrid feature selection approach for discrimination of citrus infested by Bactrocera dorsalis (Hendel) NSTL国家科技图书文献中心

He M. |  Li D.... -  《Journal of Food Composition and Analysis》 - 2025,138 - 1~10 - 共10页

摘要: feature selection method integrating ReliefF and | © 2024Changes in citrus volatile organic |  compounds (VOCs) induced by Bactrocera dorsalis (Hendel | ) infestation can serve as characteristic identifiers for non | -destructive detection of infested citrus. This study
关键词: Bactrocera dorsalis |  Classification algorithm |  Colorimetric sensor array |  ReliefF |  Volatile organic compounds

7. Fault Diagnosis in a Centrifugal Pump Using MODWPT and SVMA NSTL国家科技图书文献中心

Mit Shah |  Pina Bhatt... -  《Advances in Design and Automation》 -  International Conference on Futuristic Advancements in Materials,Manufacturing and Thermal Sciences - 2025, - 213~224 - 共12页

摘要: extracted which are then selected using the reliefF method | Pump is one of most crucial components for |  transferring fluids in any industry; further, bearing is the |  most important element in any self-priming |  centrifugal pump. The performance of the pumps highly
关键词: Fault identification |  Fault diagnosis |  Soft computing |  Machine learning |  Centrifugal pump |  Bearing |  Support vector machine |  SVM |  Maximal overlap discrete wavelet packet transform |  MODWPT

8. Diagnosis of Demagnetization Faults in PMSGs Based on Performance Evaluation of Machine Learning Algorithms Through Flux and Current Signals NSTL国家科技图书文献中心

Shahbaz, Nadeem |  Chen, Yu... -  《IEEE Transactions on Instrumentation and Measurement》 - 2025,74(Pt.1) - 2505110.1~2505110.10 - 共10页

摘要: using ReliefF, mRMR, Chi2, ANOVA, and Kruskal-Wallis | This study proposed an effective machine |  learning (ML)-based fault diagnosis method for |  demagnetization faults, including "healthy, 30% unipolar |  demagnetization, 50% multimagnet demagnetization, 100% adjacent
关键词: Discrete wavelet transforms (DWTs) |  K-nearest neighbors |  machine learning (ML) |  matching pursuit (MP) |  motor current signature analysis (MCSAs) |  permanent magnet synchronous generator (PMSG)

9. Classifying Radiation Degradation of Epoxy Molding Compound by Using Machine Learning and its Effect on Thermal and Mechanical Properties NSTL国家科技图书文献中心

Kim, Dong-Hyeon |  Kim, Dong-Seok... -  《Journal of Electrical Engineering & Technology》 - 2025,20(2) - 1003~1014 - 共12页

摘要: such as ReliefF and PCA were also applied to build a | Power semiconductors play a crucial role in |  power conversion applications within nuclear power |  plants. These semiconductors are enclosed using |  polymeric materials for cost-effectiveness. Researchers
关键词: Epoxy molding compound |  Total ionizing dose test |  Gamma radiation |  Polymer degradation |  Fourier transform infrared spectroscopy |  Machine learning |  Thermal conductivity test |  Nanoindentation

10. Feature Selection and Spectral Indices for Identifying Maize Stress Types NSTL国家科技图书文献中心

Li, Yanru |  Yang, Keming... -  《Applied Spectroscopy》 - 2025,79(2) - 306~319 - 共14页

摘要: ReliefF, chi-square test, recursive feature elimination | This study aims to identify different types of |  stress on maize leaves using feature selection and |  spectral index methods. Spectral data were collected from |  leaves under heavy metal, water, fertilizer stress, as
关键词: Maize leaf |  stress identification |  near-infrared spectroscopy |  NIR |  spectral indices |  sensitive bands |  machine learning
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