Intermittent series direct current arc fault detection in direct current more‐electric engine power systems based on wavelet energy spectra and artificial neural network by J. Thomas, R. Telford, P. J. Norman, G. M. Burt

“…This paper addresses these unique MEA/MEE issues through the proposal of a new generalised real‐time arc fault detection methodology (WaSp) based on time–frequency domain‐extracted features applied to a feed‐forward Artificial Neural Network (ANN). The paper outlines the analysis of arc fault time–frequency domain features. …”
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A Hybrid Model for Short-Term Traffic Flow Prediction Based on Variational Mode Decomposition, Wavelet Threshold Denoising, and Long Short-Term Memory Neural Network by Yang Yu, Qiang Shang, Tian Xie

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Analysis of borehole strain anomalies before the 2017 Jiuzhaigou <i>M</i>_s&thinsp;7.0 earthquake based on a graph neural network by C. Li, C. Li, C. Qin, C. Qin, J. Zhang, J. Zhang, Y. Duan, Y. Duan, C. Chi, C. Chi

“…To assess pre-earthquake anomalies, we utilized variational mode decomposition to preprocess borehole strain observation data and combined them with a graph WaveNet neural network model to process data from multiple stations. …”
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A Preliminary Study on 2D Convolutional Neural Network-Based Discontinuous Rail Position Classification for Detection on Rail Breaks Using Distributed Acoustic Sensing Data by Hye-Yeun Chun, Jungtai Kim, Dongkue Kim, Ilmu Byun, Kyeongjun Ko

“…In the third step, the spectrogram images are applied to the proposed 2D convolutional neural network (2D CNN) model and the network detects discontinuous rail positions along the track, which are geometrically distinct from continuous welded rails, such as rail breaks. …”
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A Comparison of Machine Learning-Based Approaches in Estimating Surface PM_2.5 Concentrations Focusing on Artificial Neural Networks and High Pollution Events by Shijin Wei, Kyle Shores, Yangyang Xu

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Numerical Calibration Method for Vehicle Velocity Data from Electronic Registration Identification of Motor Vehicles Based on Mobile Edge Computing and Particle Swarm Optimization Neural Network by Jingfeng Yang, Zhiyong Luo, Nanfeng Zhang, Honggang Wang, Ming Li, Jinchao Xiao

“…Based on the actual application requirements, we propose a calibration method for the numerical output of the automobile velocity detector based on edge computing of the optimized multiple reader/writer velocity values and based on a particle swarm-optimized radial basis function (RBF) neural network. The proposed method was tested on a two-way eight-lane road, and the test results showed that it can effectively improve the accuracy of velocity detection using electronic registration identification of motor vehicles. …”
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Application of Deep Learning to Identify Flutter Flight Testing Signals Parameters and Analysis of Real F-18 Flutter Flight Test Data by Sami Abou-Kebeh, Roberto Gil-Pita, Manuel Rosa-Zurera

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Leveraging multiplexed metasurfaces for multi-task learning with all-optical diffractive processors by Behroozinia Sahar, Gu Qing

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Improving Image Spam Detection Using a New Image Texture Features Selection by Azam Shekari Shahrak, Seyed javad Mirabedini, Nasser Mikaeilvand, Seyed Hamid Haj Seyed Javadi

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Object-to-Manipulation Graph for Affordance Navigation by Xinhang Song, Bohan Wang, Liye Dong, Gongwei Chen, Xinyun Hu, Shuqiang Jiang

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Achieving High-Quality Image Stylization Using Hierarchical Sensibility Boost, Visual Style Attention, and Covariance Evolution Blend by Ya Gao

Subjects: “…Neural network…”
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Concatenated Attention: A Novel Method for Regulating Information Structure Based on Sensors by Zeyu Zhang, Tianqi Chen, Yuki Todo

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Components and predictability of pollutants emission intensity by Z. Farajzadeh, M.A. Nematollahi

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Enhancing Pipeline Reliability Analysis through Machine Learning: A Focus on Corrosion and Fluid Hammer Effects by Ajinkya Zalkikar, Bimal Nepal, Mani Venkata Rakesh Mutyala, Anika Varshney, Lianne Dsouza, Hazlina Husin, Om Prakash Yadav

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Enhancing Road Scene Segmentation With an Optimized DeepLabV3+ by Zhe Ren, Libao Wang, Tianming Song, Yihang Li, Jian Zhang, Fengfeng Zhao

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Predicting carbon peak at the provincial level using deep learning by Xiaoyan Tang, Kunsheng Fang

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Part of Speech Tagging: Shallow or Deep Learning? by Robert Östling

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A New Deep Vision-Based Identifier As An Intelligent Herbicide Spraying Agent For Potato Farm Application by Halo Omer Anvar, Fardin Akhlaghian Tab, Mohsen Ramezani, Kaveh Mollazade

Subjects: “…convolutional neural networks…”
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Features of using artificial intelligence in companies’marketing communications by K. A. Arzhanova, L. D. Pisklakova

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Examination of empirical and Machine Learning methods for regression of missing or invalid solar radiation data using routine meteorological data as predictors by Konstantinos X Soulis, Evangelos E Nikitakis, Aikaterini N Katsogiannou, Dionissios P Kalivas

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