Results 11 to 20 of about 946,604 (274)
IEEE Access, 2021 In this paper, we propose a three-stage lightweight framework for centrifugal pump fault diagnosis. First, the centrifugal pump vibration signatures are fast transformed using a Walsh transform, and Walsh spectra are obtained. To overcome the hefty noise
Zahoor Ahmad +4 more
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IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023 Graph Convolutional Network (GCN) excels at EEG recognition by capturing brain connections, but previous studies neglect the important EEG feature itself.
Deng Pan +6 more
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IEEE Access, 2020 This paper proposes a three-stage fault diagnosis strategy for multistage centrifugal pumps. First, the proposed method identifies and selects fault characteristic modes of vibration to overcome the substantial noise produced by other unrelated macro ...
Zahoor Ahmad +3 more
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IEEE Access, 2021 As an important pre-processing step in clinical applications, automatic and accurate 3D cardiovascular image segmentation has attracted more and more attention.
Jingjing Liu +3 more
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Adaptive image retrieval using a graph model for semantic feature integration [PDF]
, 2006 The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selection and integration for effective retrieval.
Jose, J.M., Urban, J.
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Hybrid Feature Selection Framework for Bearing Fault Diagnosis Based on Wrapper-WPT
Machines, 2022 A framework aimed to improve the bearing-fault diagnosis accuracy using a hybrid feature-selection method based on Wrapper-WPT is proposed in this paper.
Andrei S. Maliuk +2 more
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Understanding the fine structure of electricity prices [PDF]
, 2006 This paper analyzes the special features of electricity spot prices derived from the physics of this commodity and from the economics of supply and demand in a market pool.
Geman, Hélyette, Roncoroni, A.
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Discriminative Shape Feature Pooling in Deep Neural Networks
Journal of Imaging, 2022 Although deep learning approaches are able to generate generic image features from massive labeled data, discriminative handcrafted features still have advantages in providing explicit domain knowledge and reflecting intuitive visual understanding.
Gang Hu, Chahna Dixit, Guanqiu Qi
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Structure-Feature based Graph Self-adaptive Pooling [PDF]
Proceedings of The Web Conference 2020, 2020 7 pages, 4 figures, The Web Conference ...
Zhang, Liang +8 more
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EGFAFS: A Novel Feature Selection Algorithm Based on Explosion Gravitation Field Algorithm
Entropy, 2022 Feature selection (FS) is a vital step in data mining and machine learning, especially for analyzing the data in high-dimensional feature space. Gene expression data usually consist of a few samples characterized by high-dimensional feature space.
Lan Huang, Xuemei Hu, Yan Wang, Yuan Fu
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