Reduction of Pressure Pulsations over a Wide Frequency Range in Hydrostatic Systems by Michał Stosiak, Irina Yatskiv (Jackiva), Olegas Prentkovskis, Mykola Karpenko

“…These forces can originate from outside the hydraulic valve and can be the result of vibrations in the machine frame or the movement of the machine over uneven ground. …”
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Direction-of-Arrival (DOA) Estimation Based on Real Field Measurements and Modified Linear Regression by Luis Antonio Flores, Ismael Lomas, Lenin Guachalá, Pablo Lupera-Morillo, Robin Álvarez, Ricardo Llugsi

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Analysis of Vertical Ground Reaction Force Data in Predicting Parkinson’s Disease by Varun Jain

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Prediction of Chemotherapy Response in Locally Advanced Breast Cancer Patients at Pre-Treatment Using CT Textural Features and Machine Learning: Comparison of Feature Selection Met... by Amir Moslemi, Laurentius Oscar Osapoetra, Archya Dasgupta, Schontal Halstead, David Alberico, Maureen Trudeau, Sonal Gandhi, Andrea Eisen, Frances Wright, Nicole Look-Hong, Belinda Curpen, Michael Kolios, Gregory J. Czarnota

“…Objective: Our objective was to develop predictive measures of tumor response to NAC prior to starting for LABC using machine learning and textural computed tomography (CT) features in different level of frequencies. …”
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A novel directional pilot protection method for EHV transmission lines based on S-transform and SVM by Zhenwei Guo, Yingcai Deng, Tong Zhang, Zebo Huang

“…Support Vector Machine (SVM) is used to incorporate the fault angle and fault resistance into the fault characteristics. …”
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Method of determining power and mathematical modeling of physical processes in testing traction induction motors by mutual loads by Viktor Vasilevich Kharlamov, Denis Igorevich Popov, Artyom Valerevich Litvinov

“…To refine the mathematical model proposed to use the method of determining the dependency of the losses in the elements of frequency converters, located in the structure of the scheme of mutual loads of induction motors, the magnitude of the consumed and generated power of test and load machine.…”
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Power Wavelet Cepstral Coefficients (PWCC): An Accurate Auditory Model-Based Feature Extraction Method for Robust Speaker Recognition by Youssef Zouhir, Mohamed Zarka, Kais Ouni, Lilia El Amraoui

“…To bridge this gap, researchers investigate the human auditory system to support machine learning algorithm performance. The paper introduces a novel feature extraction method, named “Power Wavelet Cepstral Coefficients” (PWCC), for enhancing SR accuracy. …”
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Electrical Fault Diagnosis Method for Tunneling Equipment Based on Fault Simulation and Optimized Particle Swarm Algorithm by Huan Zou, Xueping Zhang, Xin Wang, Yu Li

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Identification of dynamics for machining systems by Yuri Petrakov, Oleksandr Okhrimenko, Maksim Sikailo

“…The paper proposes a method for identifying such dynamic parameters of the machining system, which include natural vibration frequencies, vibration damping coefficients, and stiffness of the replacement model of single-mass system in the direction of the machine-CNC coordinate axes. …”
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Measurement of Ultra-Low Frequency Vibrations Using an Atom Interferometer by Zenghan Ma, Wei Zhuang, Yang Zhao, Chuanjing Ruan, Qin Tian, Jiamin Yao, Jinyang Feng, Shuqing Wu, Fang Fang, Ling Wan

“…Measuring low-frequency and ultra-low-frequency vibration signals is of critical importance in fields such as structural mechanics, geological exploration, aerospace, precision machining, and biomedicine. …”
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Intelligent method for supporting decision-making on software security using hybrid models by Оксана Сітнікова, Маргарита Мельник, Олена Сирота, Сергій Семенов

“…We propose a hybrid intelligent method that integrates two modern machine learning approaches – deep neural networks and gradient boosting – into a single architecture for assessing software security. …”
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Data analysis methods in astronomic objects classification (Sloan Digital Sky Survey DR14) by V. A. Golov, D. A. Petrusevich

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Determination of Geochemical Background and Baseline and Research on Geochemical Zoning in the Desert and Sandy Areas of China by Weiji Wen, Fan Yang, Shuyun Xie, Chengwen Wang, Yuntao Song, Yuepeng Zhang, Weihang Zhou

“…In this paper, geochemical background and geochemical baseline values of 61 desert elements were calculated using the iterative method, frequency histograms method, and multifractal concentration-area method. …”
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End-of-Line Quality Control Based on Mel-Frequency Spectrogram Analysis and Deep Learning by Jernej Mlinarič, Boštjan Pregelj, Gregor Dolanc

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FDDM: unsupervised medical image translation with a frequency-decoupled diffusion model by Yunxiang Li, Hua-Chieh Shao, Xiaoxue Qian, You Zhang

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An AI recognition method for children's clinical operative pain by skin potential (SP) signal by Mingxuan Huang, Cangcang Fu, Linbo Chui, Jiadong He, Xiaozhi Wang, Jikui Luo, Bin Wu, Yonggang Chen, Shaohua Hu, Jihua Zhu, Yubo Li

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Epilepsy Diagnosis Analysis via a Multiple-Measures Composite Strategy from the Viewpoint of Associated Network Analysis Methods by Haoying Niu, Tiange Mu, Yuting Wang, Jiayang Huang, Jie Liu

“…Based on some typical complex network analysis methods and machine learning techniques, a general multiple-measures composited strategy-guided epilepsy diagnosis analysis framework is proposed in this brief paper. …”
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Evaluation of Confusion Behaviors in SEI Models by Brennan Olds, Ethan Maas, Alan J. Michaels

“…Radio Frequency Machine Learning (RFML) has in recent years become a popular method for performing a variety of classification tasks on received signals. …”
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Robust neural network filtering in the tasks of building intelligent interfaces by A. V. Vasiliev, A. O. Melnikov, S. A. Lesko

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Bio-Impedance Analysis of Human Upper Limbs Based on Transient Simulation Using the Finite Element Method by Enver Salkim, Tayfun Abut

“…This paper investigates the impact of the dielectric properties of the tissue layers on the bio-impedance variation based on different simulation frequency spectra using the transient modeling method. …”
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