Structural Damping Analysis of a Vehicle Front Hood: Experimental Modal Parameters Extraction and Simulation Correlation by Valerian Pinzaru, Carmen Bujoreanu, Olivier Barat

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An explainable machine learning framework for railway predictive maintenance using data streams from the metro operator of Portugal by Silvia García-Méndez, Francisco de Arriba-Pérez, Fátima Leal, Bruno Veloso, Benedita Malheiro, Juan Carlos Burguillo-Rial

“…This work contributes to a real-time data-driven predictive maintenance solution for Intelligent Transportation Systems. The proposed method implements a processing pipeline comprised of sample pre-processing, incremental classification with Machine Learning models, and outcome explanation. …”
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Structuroscopy of Coils after High-Temperature Mechanical Treatment on the Basis of Measurements of Rayleigh Waves Velocity by V. V. Muravʼev, L. V. Gushchina

“…The shadow method and the autocirculation method with piezoelectric converters CTS-19 with a frequency of 5 MHz with a special block design were used for research. …”
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Comprehensive Performance Comparison of Signal Processing Features in Machine Learning Classification of Alcohol Intoxication on Small Gait Datasets by Muxi Qi, Samuel Chibuoyim Uche, Emmanuel Agu

“…However, until now, no work has systematically evaluated the performance of various categories of gait features for alcohol intoxication detection task using traditional machine learning algorithms. This study evaluates 27 signal processing features handcrafted from accelerometer gait data across five domains: time, frequency, wavelet, statistical, and information-theoretic. …”
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Goal and shot prediction in ball possessions in FIFA Women’s World Cup 2023: a machine learning approach by Iyán Iván-Baragaño, Antonio Ardá, José L. Losada, Rubén Maneiro

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Investigating Optimal EEG Channels and Features for Brain-Computer Interfaces: An Exploration using Evolutionary Algorithms and Machine Learning by Ali Ekhlasi, Hessam Ahmadi, Mohammad Saleh Hoseinzadeh

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Training improvement methods of ANN trajectory predictors in power systems by Sangwon Kim

“…The effectiveness of the developed methods is validated based on the WSCC three‐machine nine‐bus and IEEE 39‐bus system models. …”
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Automatic machine-learning based identification of jogging periods from accelerometer measurements of adolescents under field conditions. by Eftim Zdravevski, Biljana Risteska Stojkoska, Marie Standl, Holger Schulz

“…<h4>Background</h4>Assessment of health benefits associated with physical activity depend on the activity duration, intensity and frequency, therefore their correct identification is very valuable and important in epidemiological and clinical studies. …”
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Modeling of AC Losses in High-speed PMSM Windings: Methods, Challenges, and Prospects by Kaiwei He, Wenxiang Zhao, Zhongze Wu, Jinghua Ji

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Signal fingerprint feature extraction and recognition method for communication satellite by Zhen Guo, Kai Huang, Jun Ye

“…Basing on the improved SPWVD, the singular value entropy is calculated by time-frequency analysis. Then, the entropy of diagonal slices is generated by the ameliorated bispectrum method which is enhanced by using the fractional low-order covariance method. …”
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Advanced machine learning techniques reveal multidimensional EEG abnormalities in children with ADHD: a framework for automatic diagnosis by Ying Mao, Ying Mao, Xuchen Qi, Xuchen Qi, Xuchen Qi, Lingyan He, Shan Wang, Zhaowei Wang, Fang Wang, Fang Wang

“…According to the optimal feature subset statistics, there is an increase in the power of theta, alpha, and beta rhythms, an elevated power ratio between theta and beta (theta/beta ratio, TBR), and reorganization of whole-brain functional connectivity across all frequency bands in children with ADHD, primarily characterized by enhanced functional connectivity.DiscussionWe showed that EEG features was effectively extracted by machine learning methods, which could play a critical role in classification between pediatric ADHD and HC. …”
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Phenotyping for heat stress tolerance in wheat population using physiological traits, multispectral imagery, and machine learning approaches by Neelesh Sharma, Manu Kumar, Hans D Daetwyler, Richard M Trethowan, Matthew Hayden, Surya Kant

“…With the increasing frequency and intensity of heat waves and extreme weather events, heat stress has become a challenge for wheat production, which is one of the most important cereal crops. …”
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Analysis of autonomous UAV navigation methods in GPS dead zones by A.R. Kravchuk, A.H. Tkachuk, O.O. Dobrzhanskyi, Yu.V. Bogoyavlenska, D.Yu. Tkachuk

“…The main methods of autonomous navigation are considered: visual (optical flow, visual odometry, visual SLAM), inertial (IMU-based), lidar (LiDAR SLAM), radar, radio frequency (UWB, Wi-Fi, BLE), as well as hybrid multi-sensor systems. …”
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A Composite Vision-Based Method for Post-Assembly Dimensional Inspection of Engine Oil Seals by Yu Li, Jing Zhao, Xingyu Gao, Weiming Li, Rongtong Jin, Guohao Tang, Yang Huang, Shuibiao Chen

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Prediction of Shield Tunneling Attitude Based on WM-CTA Method by GAO Su, CHEN Cheng

“…[Objective] The attitude of a shield machine is a critical parameter that significantly affects tunnel construction, directly determining construction safety and project quality. …”
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A Review on the Lifetime Estimation Methods of XLPE Power Cables by Mohammad AlShaikh Saleh, Alamera Nouran Alquennah, Ali Ghrayeb, Shady S. Refaat, Haitham Abu-Rub, Sunil P. Khatri

“…The review also explores frequency-based life models that investigate the effects of operational frequencies on cable longevity. …”
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The method of increasing the information content of microfocus X-ray images by N. E. Staroverov, A. Y. Gryaznov, I. G. Kamyshanskaya, N. N. Potrakhov, E. D. Kholopova

“…The proposed method for enhancing the contrast of fine image details is based on the idea of combining high-frequency filtering and morphological image processing. …”
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Evaluation of the High-Frequency Transmission Characteristics of Coplanar Transmission Lines Fabricated on a Copper-Plated Cycloolefin Polymer Using a Direct Sputtering Copper Seed... by Akihiro Shimizu, Kazuhiro Fukada, Mitsunori Abe, Akiko Matsui, Shinichi Endo

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High-Precision Pose Measurement of Containers on the Transfer Platform of the Dual-Trolley Quayside Container Crane Based on Machine Vision by Jiaqi Wang, Mengjie He, Yujie Zhang, Zhiwei Zhang, Octavian Postolache, Chao Mi

“…To address the high-precision measurement requirements for container pose on dual-trolley quayside crane-transfer platforms, this paper proposes a machine vision-based measurement method that resolves the challenges of multi-scale lockhole detection and precision demands caused by complex illumination and perspective deformation in port operational environments. …”
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Identification of Three-Dimensional Equivalent Material Properties for Laminated Disks Pack of Electric Machine Stators: Application in Reciprocal Compressors by Jean C. Marcon, Olavo M. Silva, Thiago A. Fiorentin, Arcanjo Lenzi

“…The obtainment of the set of equivalent orthotropic properties is based on the minimization of residues related to the difference between the natural and experimental frequencies in the range of 0 to 10 kHz. This was carried out using the multiobjective genetic algorithm (MOGA) method used in conjunction with commercial Ansys® software. …”
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