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  1. 721

    Design of Piezoelectric Ultrasonic Composite Vibration System for Precision Grinding by Weiqing Huang, Kaijie Huang, Qunyou Zhong, Jialun Wu, Dawei An

    Published 2025-03-01
    “…Due to the high hardness and brittleness of sapphire, traditional machining methods are prone to surface scratches and microcracks. …”
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  2. 722
  3. 723

    Research on Characteristic Analysis and Identification Methods for DC-Side Grounding Faults in Grid-Connected Photovoltaic Inverters by Wanli Feng, Lei Su, Cao Kan, Mingjiang Wei, Changlong Li

    Published 2025-06-01
    “…Based on the leakage current mechanisms and statistical characteristics of grid-connected PV inverters, a multi-type DC-side grounding fault identification method is proposed using the light gradient-boosting machine (LGBM) algorithm. …”
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  4. 724

    Symbolic Regression Method for Estimating Distance Between Two Coils of an Inductive Wireless Power Transfer System by Davide Milillo, Lorenzo Sabino, Rafiq Asghar, Francesco Riganti Fulginei

    Published 2025-03-01
    “…Symbolic regression (SR) has emerged as a powerful tool for the characterization of Wireless Power Transfer (WPT) systems, estimating the distance between coils and finding the relationship between frequency and phase so as to find the best frequency to increase the power factor. …”
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  5. 725
  6. 726

    Research of Fault Diagnosis Method of Rolling Bearing based on Projection Image Analysis of Intrinsic Mode Function by Huang Xuemei

    Published 2017-01-01
    “…Firstly,the Empirical Mode Decomposition method( EMD)is used to obtain IMF. Secondly,the time-frequency three-dimensional gray-scale projection image of each IMF is established. …”
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    Article
  7. 727

    Type series of resonant vibration equipment for concrete mixtures compaction and its main parameters calculation method by V. G. Zedgenizov, S. Kh. Faizov

    Published 2023-11-01
    “…It has been established that with increasing rigidity of the working body, the dynamic coefficient decreases, and the horizontal section on the frequency response, the width of which does not change significantly, shifts to the region of higher frequencies. …”
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    Article
  8. 728

    Development of a Drought Monitoring System for Winter Wheat in the Huang-Huai-Hai Region, China, Utilizing a Machine Learning–Physical Process Hybrid Model by Qianchuan Mi, Zhiguo Huo, Meixuan Li, Lei Zhang, Rui Kong, Fengyin Zhang, Yi Wang, Yuxin Huo

    Published 2025-03-01
    “…The existing simulation methods like physical process models and machine learning (ML) algorithms have limitations: physical models struggle with parameter acquisition at regional scales, while ML algorithms face difficulties in agricultural settings due to the presence of crops. …”
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    Article
  9. 729

    A transferable approach for quantifying benthic fish sizes and densities in annotated underwater images by Peter C. Esselman, Shadi Moradi, Joseph Geisz, Christopher Roussi

    Published 2025-01-01
    “…Results from validation studies show that lengths and weights can be estimated with high accuracy and precision for round goby (Neogobius melanostomus) captured in distorted action camera images, and from large‐bodied lake trout (Salvelinus namaycush) imaged with a machine vision camera. The real‐world utility of the approach is demonstrated in a case study estimating round goby abundances and size frequencies along a 10.7‐km transect surveyed with an autonomous underwater vehicle in Lake Michigan, USA. …”
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  10. 730

    Bond strength of metal brackets to feldspathic ceramic treated with different surface conditioning methods: an in vitro study by Duygu Recen, Bengisu Yıldırım, Eman Othman, Muharrem Erhan Çömlekoğlu, Işıl Aras

    Published 2021-01-01
    “…Materials and Methods Forty specimens that were fabricated from FC material and glazed were randomly assigned to four surface conditioning methods: (1) CoJet Sand; (2) MEP; (3) HF acid etching followed by silane coupling agent; (4) Diamond bur followed by silane coupling agent. …”
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    Article
  11. 731

    Identifying most important predictors for suicidal thoughts and behaviours among healthcare workers active during the Spain COVID-19 pandemic: a machine-learning approach by Itxaso Alayo, Oriol Pujol, Jordi Alonso, Montse Ferrer, Franco Amigo, Ana Portillo-Van Diest, Enric Aragonès, Andrés Aragon Peña, Ángel Asúnsolo Del Barco, Mireia Campos, Meritxell Espuga, Ana González-Pinto, Josep Maria Haro, Nieves López-Fresneña, Alma D. Martínez de Salázar, Juan D. Molina, Rafael M. Ortí-Lucas, Mara Parellada, José Maria Pelayo-Terán, Maria João Forjaz, Aurora Pérez-Zapata, José Ignacio Pijoan, Nieves Plana, Elena Polentinos-Castro, Maria Teresa Puig, Cristina Rius, Ferran Sanz, Cònsol Serra, Iratxe Urreta-Barallobre, Ronny Bruffaerts, Eduard Vieta, Víctor Pérez-Solá, Philippe Mortier, Gemma Vilagut

    Published 2025-01-01
    “…Based on SHAP values, the most important baseline predictors for any STB at the 4-month follow-up were the presence of passive suicidal ideation, the number of days in the past 30 days with passive or active suicidal ideation, the number of days in the past 30 days with binge eating episodes, the number of panic attacks (women only) and the frequency of intrusive thoughts (men only). Conclusions Machine learning-based prediction models for STBs in HCWs during the COVID-19 pandemic trained on web-based survey data present high discrimination and classification capacity. …”
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  12. 732

    An experimental study of the application of the spectral acoustic method to the advance detection of geologic structures in tunnelling working site by Jianguo ZHANG, Zhicheng FENG, Fengqing WEI, Ji MA, Kai ZHAO, Man WANG, Minggong GUO, ШИЛОВ Владимир Иванович

    Published 2024-12-01
    “…Therefore, continuous advanced detection of geological structures is an important technical means to prevent and control coal and gas outbursts in tunnelling working site, and is of great significance to ensure safe production in mines. MethodsBased on the research results of spectral acoustic method in Russia for many years, the resonance phenomenon generated at the weakened contact surface of the roof rock layer by the artificial acoustic signal excited by the coal cutting machine is utilized to construct the prediction coefficient of geological structure based on the stress index and frequency index. …”
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  13. 733

    Analysis dynamic characteristics brushless motor of the mechatronic system in conditions of parametric uncertaintyby computer simulation methods by N. A. Malev, O. V. Pogoditsky, O. V. Kozelkov, A. M. Dyuryagin

    Published 2022-06-01
    “…Currently, brushless motors – electric machines with permanent magnets on the rotor and a rotor position sensor controlled by a sinusoidal voltage from frequency converters, are widely used in mechatronic and robotic systems. …”
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  14. 734

    A novel method for optimizing epilepsy detection features through multi-domain feature fusion and selection by Guanqing Kong, Guanqing Kong, Shuang Ma, Shuang Ma, Wei Zhao, Wei Zhao, Haifeng Wang, Haifeng Wang, Qingxi Fu, Qingxi Fu, Jiuru Wang

    Published 2024-11-01
    “…This problem is addressed through the use of a novel multi-domain feature fusion and selection method (PMPSO).MethodDiscrete Wavelet Transforms (DWT) and Welch are used initially to extract features from different domains, including frequency domain, time-frequency domain, and non-linear domain. …”
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  15. 735

    Adaptive zero velocity correction method for fiber optic inertial navigation system in coal mining roadheader by Qinghua MAO, Qing ZHOU, Jianquan CHAI, Yanzhang CHEN, Wenjuan YANG, Xusheng XUE

    Published 2025-05-01
    “…Therefore, an adaptive zero-speed correction method for fiber-optic inertial navigation of coal mine roadheader based on zero-speed detection and extended Kalman filter is proposed.Aiming at the problem of inaccurate zero-speed detection of traditional threshold method for roadheader fiber-optic inertial navigation, a zero-speed detection method based on PCA−SCSO−SVM ( Principal Component Analysis PCA, Sand Cat Swarm Optimization SCSO, Support Vector Machine SVM ) is proposed. …”
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  16. 736

    Risk Analysis of The Raw Tofu Production Process with The FMEA Method at The Saudara Jaya Factory in Jember Regency by Sindi Putri Sahari, Dhanang Eka Putra

    Published 2024-12-01
    “… This study analyses the risk of tofu production at the Saudara Jaya Tofu Factory using the Failure Mode and Effect Analysis (FMEA) method with the aim of identifying potential failures and calculating the Risk Priority Number (RPN) value based on severity, frequency of occurrence, and detection. …”
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    Article
  17. 737

    A finger on the pulse of cardiovascular health: estimating blood pressure with smartphone photoplethysmography-based pulse waveform analysis by Ivan Shih-Chun Liu, Fangyuan Liu, Qi Zhong, Shiguang Ni

    Published 2025-03-01
    “…Abstract Smartphone photoplethysmography (PPG) offers a cost-effective and accessible method for continuous blood pressure (BP) monitoring, but faces persistent challenges with accuracy and interpretability. …”
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  18. 738
  19. 739

    Application of Graph-Theoretic Methods Using ERP Components and Wavelet Coherence on Emotional and Cognitive EEG Data by Sencer Melih Deniz, Ahmet Ademoglu, Adil Deniz Duru, Tamer Demiralp

    Published 2025-07-01
    “…Despite the availability of various methods to measure and evaluate emotional states and cognitive processes, physiological measurements are considered to be one of the most reliable methods due to their objective approach. …”
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    Article
  20. 740