Results 21 to 30 of about 202,798 (258)
A Hybrid CNN–LSTM Algorithm for Online Defect Recognition of CO2 Welding
Sensors, 2018 At present, realizing high-quality automatic welding through online monitoring is a research focus in engineering applications. In this paper, a CNN⁻LSTM algorithm is proposed, which combines the advantages of convolutional neural networks (CNNs ...
Tianyuan Liu +3 more
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Discriminant Feature Extraction for Centrifugal Pump Fault Diagnosis
IEEE Access, 2020 Raw statistical features can imitate the amplitude, average, energy and time, and frequency series distribution of a raw vibration signal. However, these raw statistical features are either not very sensitive to weak incipient faults or are unsuitable ...
Zahoor Ahmad +3 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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Dial-a-Ride Problem With Meeting Point Feature Known-as Express-Pool
IEEE Access, 2021 This study extends a dial-a-ride problem by considering (1) Express-Pool and (2) Friend-Only. Uber provides an advanced feature called Express-Pool where passengers are willing to walk a short distance to be picked up and be dropped off somewhere close ...
Andy Ham
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Feature Extraction of Laser Welding Pool Image and Application in Welding Quality Identification
IEEE Access, 2021 Most of the existing laser welding quality identification methods are post-weld identification or low-speed identification (Welding speed below 120 m/min).
Yinrui Gao +4 more
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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 ...
Liang Zhang 0010 +8 more
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Pedestrian detection based on adaptive pooling method
Journal of Hebei University of Science and Technology, 2019 Pedestrian detectors based on convolutional neural networks generally adopt image recognition network, which usually causes the following problems:1) multi-pool layers lead to the loss of feature information of small target pedestrian; 2) the single pool
Peijia YU, Jing ZHANG, Xiaoyao XIE
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Face Image Classification by Pooling Raw Features
CoRR, 2014 12 ...
Fumin Shen, Chunhua Shen, Heng Tao Shen
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Predicting venous thromboembolism (VTE) risk in cancer patients using machine learning
Health Care Science, 2023 Background The association between cancer and venous thromboembolism (VTE) is well‐established with cancer patients accounting for approximately 20% of all VTE incidents.
Samir Khan Townsley +5 more
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Vision detection and feature extraction of molten pool behavior in powder laser cladding
Cailiao gongcheng, 2023 Molten pool monitoring is the basis of forming process optimization, playing a pivotal role in improving the formation quality. A machine vision monitoring system was set up for the laser cladding process.
DONG Fangyu +4 more
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