Experimental Testing of Amplified Inertia Response from Synchronous Machines Compared with Frequency Derivative-Based Synthetic Inertia by Martin Fregelius, Vinicius M. de Albuquerque, Per Norrlund, Urban Lundin

“…In the specific cases compared, we observe that the amplified inertia version is the better method for smaller power systems, with large frequency fluctuations. …”
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Method of the Environmentally Friendly Dry Single-Pass Honing with Use of the Superimposed Low Frequency Oscillations by Rozek André, Uhlmann Eckart

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Evaluating different translation methods: a case study of Chinese graduate students in an MTI program by Tingting Lei, Jeroen van de Weijer

“…This paper compares three approaches to translation: (i) from-scratch human translation (HT), (ii) machine translation combined with post-editing (MTPE), both produced by two independent groups of translation students, and (iii) machine translation (MT), produced by Baidu Chinese-to-English Translation, employing various evaluation methods. …”
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Studies on Vibration and Synchronization Characteristics of an Anti-Resonance System Driven by Triple-Frequency Excitation by Duyu Hou, Zheng Liang, Zhuozhuang Zhang, Zihan Wang

“…This work is useful for developing new vibrating screens and other multi-frequency vibration machines.…”
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TF-LIME : Interpretation Method for Time-Series Models Based on Time–Frequency Features by Jiazhan Wang, Ruifeng Zhang, Qiang Li

“…To address this, this paper proposes a time–frequency domain-based time series interpretation method aimed at enhancing the interpretability of models at the time–frequency domain. …”
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Frequency and Nutrient Content of Meals of the Mothers and the Birth Weight and Gestational Age of the Baby by Avinash H. Salunkhe, Asha Pratinidhi, Jyoti A. Salunkhe, S. V. Kakade, Vaishali R. Mohite, Prabhu Hiremath

“…A sub sample of 380 women was taken for the in-depth study of frequency of meals and nutrient content of food of pregnant women. …”
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Human-Machine Function Allocation Method for Submersible Fault Detection Tasks by Chenyuan Yang, Liping Pang, Wentao Wu, Xiaodong Cao

“…To address this issue, we proposed a human-machine function allocation method based on level of automation (LOA) taxonomy and submersible task complexity (STC), aimed at improving human-machine cooperation in submersible fault detection tasks. …”
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Machine learning methods for spectrally-resolved imaging analysis in neuro-oncology by T. A. Savelieva, I. D. Romanishkin, A. Ospanov, K. G. Linkov, S. A. Goryajnov, G. V. Pavlova, I. N. Pronin, V. B. Loschenov

“…In this paper, we focus on both the physical foundations of such methods and a very important aspect of their application – machine learning (ML) methods for image processing and tissues’ classification.…”
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Survey on Context-Aware Radio Frequency-Based Sensing by Eugene Casmin, Rodolfo Oliveira

“…The paper evaluates feature extraction methods and machine learning approaches used for detection and classification, presenting their accuracy metrics across various applications. …”
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Failure State Identification and Fault Diagnosis Method of Vibrating Screen Bolt Under Multiple Excitation of Combine Harvester by Jiaojiao Xu, Tiantian Jing, Meng Fang, Pengcheng Li, Zhong Tang

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Fault analysis of railway track superstructure using time-frequency method from vibrational data by Shahzor Memon, Imtiaz Hussain, Lubna Moin

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Study on soil moisture estimation using a three-frequency combination of observations integrated with robust estimation and machine learning by Yintao Liu, Chao Ren, Hongjuan Shao

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Ensemble machine learning (EML) based regional flood frequency analysis model development and testing for south-east Australia by Nilufa Afrin, Ataur Rahman, Ahmad Sharafati, Farhad Ahamed, Khaled Haddad

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Machine learning and uncertainty quantification to track and monitor natural frequencies in vibration-based SHM applied to offshore wind turbines by Maximillian Weil, Carlos Sastre Jurado, Wout Weijtjens, Christof Devriendt

“…Control charts show improved decision-making compared to traditional reference-based methods. A synthetic dataset further confirms the approach’s robustness in identifying relevant natural frequency shifts. …”
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Modeling of the frequency response function and its evaluation during boring by Максим Шихалєєв, Вадим Медведєв

“… Finite element method of simulating frequency response function (FRF) for boring tool in LS-Dyna solver is investigated in this work. …”
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Fault diagnosis of agricultural sprinkler irrigation machinery equipment based on machine vision by Wu Xinping, He Rongnian, Chen Mengyu

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Early detection of ICU-acquired infections using high-frequency electronic health record data by Meri R. J. Varkila, Giacomo Lancia, Maarten van Smeden, Marc J. M. Bonten, Cristian Spitoni, Olaf L. Cremer

“…Conclusion A dynamic modelling approach that incorporates machine learning of high-frequency vital sign data shows promise as a continuous bedside index of infection risk. …”
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A fully automated hybrid approach for processing high-frequency surface settlement data by Changyu Wang, Zude Ding, Annan Zhou, Zekun Zhu

“…The proposed method minimises manual intervention and reduces reliance on empirical design through the integration of the Mel Frequency Cepstral Coefficient (MFCC) based Convolutional Neural Networks (CNN), Extreme Learning Machine (ELM), and Variational Modal Decomposition (VMD) algorithms. …”
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Impacts of Electric Vehicle Penetration on the Frequency Stability of Curaçao’s Power Network by Daniela Vásquez-Cardona, Sergio D. Saldarriaga-Zuluaga, Santiago Bustamante-Mesa, Jesús M. López-Lezama, Nicolás Muñoz-Galeano

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Machine Learning Methods of Providing Informational Management Support for Students’ Professional Development by I. G. Zakharova

“…The effectiveness of this interaction resulted from its information support, based on reliable information, promptly provided to all the members of learning process.The aim of this paper was to study the machine learning methods potential for the effective management of learning process by the example of implementing information support component designed to diagnose and predict the professional development of students based on automatic text analysis.Methodology and research methods. …”
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