Improving frequency stability in grid-forming inverters with adaptive model predictive control and novel COA-jDE optimized reinforcement learning by Muhammad Zubair Yameen, Zhigang Lu, Fayez F. M. El-Sousy, Waqar Younis, Baqar Ali Zardari, Abdul Khalique Junejo

“…Conventional Model Predictive Control (MPC) methods, which depend on static models and predefined boundaries, often struggle to preserve frequency stability in dynamic grid conditions. …”
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Small-size spectral features for machine learning in voice signal analysis and classification tasks by D. S. Likhachov, M. I. Vashkevich, N. A. Petrovsky, E. S. Azarov

“…The problem of developing a method for calculating small-sized spectral features that increases the efficiency of existing machine learning systems for analyzing and classifying voice signals is being solved.Methods. …”
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Improved railway track faults detection using Mel-frequency cepstral coefficient and constant-Q transform features by Rahman Shafique, Khadija Kanwal, Venkata Chunduri, Gyu Sang Choi, Imran Ashraf

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Phthalate Metabolites Were Related to the Risk of High-Frequency Hearing Loss: A Cross-Sectional Study of National Health and Nutrition Examination Survey by You LM, Zhang DC, Lin CS, Lan Q

“…Participants were defined as speech-frequency hearing loss (SFHL) or high-frequency hearing loss (HFHL). …”
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Review of Brain-Machine Interfaces Used in Neural Prosthetics with New Perspective on Somatosensory Feedback through Method of Signal Breakdown by Gabriel W. Vattendahl Vidal, Mathew L. Rynes, Zachary Kelliher, Shikha Jain Goodwin

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System frequency response model and droop coefficient setting considering renewable energy participation in frequency regulation by Yuyan Song, Yongjie Zhang, Shuai Zhang, Fang Liu, Yunche Su, Yang Liu

“…Thus, this paper proposes a method where RES utilize suitable means to reduce load, thereby contributing to frequency regulation. …”
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Dual‐port network‐based impedance modelling and AC‐port characteristic analysis of wound rotor synchronous machine for more electric aircraft by Zixiao Xu, Yang Qi, Weilin Li, Yu Wu, Josep M. Guerrero, Juan C. Vasquez

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Optimization and experiments on working parameters of winnowing machine for walnut shell and kernel mixture by HU Guo-yu, CHEN Xu-dong, DONG Ya-lan, LIU Guang, ZHOU Jian-ping

“…<b>Objectives:</b> To meet the requirements of high cleaning rate and low loss rate. <b>Methods:</b> A small negative pressure winnowing machine for walnut shell and kernel mixtures was developed. …”
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A Data-Driven Approach to Engineering Instruction: Exploring Learning Styles, Study Habits, and Machine Learning by Lauren Genith Isaza Dominguez, Antonio Robles-Gomez, Rafael Pastor-Vargas

“…Several machine learning models, including Random Forest and Voting Ensemble, were tested to predict academic performance using study behavior data. …”
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CALCULATION OF TEMPERATURE REGIME AND DETERMINATION OF FREQUENCIES OF OWN VIBRATIONS OF THE SINGLE DIFFERENTIAL REZINOMETALLIC VIBROIZOLATOR by P. D. Balakin, L. V. Krasotina, A. V. Krivtsov

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Terminal-based method for efficient inter-turn fault localization and severity assessment in transformer windings by K. Lakshmi Prasanna, Manoj Samal, Mithun Mondal

“…However the existing methods based on calculation of fault factors, machine learning methods, and statistical indices require additional terminals or internal tap points, extensive training data and high computational demands, and limited applicability due to non-standardization and specific frequency band selection. …”
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Time-Frequency Analysis of Motor Imagery During Plantar and Dorsal Flexion Movements Using a Low-Cost Ankle Exoskeleton by Cristina Polo-Hortigüela, Mario Ortiz, Paula Soriano-Segura, Eduardo Iáñez, José M. Azorín

“…The correlation between brain activity and foot kinematics was analyzed using the Short-Time Fourier Transform (STFT), Stockwell (ST), Hilbert–Huang (HHT), and Chirplet (CT) methods. The 8–20 Hz frequency band exhibited the highest correlation values. …”
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Automatic Generation Control of Multi-Area Power System Using a Fuzzy Wavelet Neural Network Load Frequency Controller Combined With Shuffled Frog Leaping Algorithm by Leila Esteki, Abas Ali Zamani, Seyed Mohamad Kargar, SayedAli Mousavi

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Fine carrier frequency offset estimation for OFDM and MIMO-OFDM systems: A comparative study by Moatasem Mohammed Elsayed Kotb, Maha Raof Abdel-Haleem Mohamed, Ashraf Yahya Hassan Ali Fahmy, Ashraf Shawky Selim SayedAhmed Mohra

“…Abstract In Orthogonal Frequency Division Multiplexing (OFDM) and Multiple-Input Multiple-Output-OFDM (MIMO-OFDM) systems, estimating Carrier Frequency Offset (CFO) is a critical challenge, particularly in degraded channel conditions where traditional methods struggle with precision and adaptability. …”
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Cyberbullying-Related Automated Hate Speech Detection on Social Media Platforms Using Stack Ensemble Classification Method by Muhammad Mubeen, Aliza Muskan, Arslan Akram, Javed Rashid, Tagrid Abdullah N. Alshalali, Nadeem Sarwar

“…The framework uses term frequency–inverse document frequency (TF–IDF) extracted from tweet texts for which support vector machine (SVM), together with Random Forest, XGBoost, and Logistic Regression, base machine learning models function as classifiers. …”
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Monitoring the Calibration Status of a Universal Testing Machine Through the Implementation of Acoustic Methods: Development of Equipment and a Suitable Interface by Sharath P. Subadra, Roy Skaria, Andrea Hasselmann, Eduard Mayer, Shahram Sheikhi

“…The calibration of a universal testing machine (UTM) verifies the accuracy of the system instruments responsible for obtaining force and displacement measurements. …”
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Combined Method for Informative Feature Selection for Speech Pathology Detection by D. S. Likhachov, M. I. Vashkevich, N. A. Petrovsky, E. S. Azarov

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Predicting Spontaneous Termination of Atrial Fibrillation Based on Analysis of Standard Electrocardiograms: A Systematic Review by Brandon Wadforth, Jing Soong Goh, Kathryn Tiver, Sobhan Salari Shahrbabaki, Ivaylo Tonchev, Dhani Dharmaprani, Anand N. Ganesan

“…Signal processing techniques fit into three broad categories including machine learning (n = 14), entropy analysis (n = 12), and time–frequency/frequency analysis (n = 9). …”
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Collocation ranking: frequency vs semantics by Nikola Ljubešić, Nataša Logar, Iztok Kosem

“…The results were somewhat inconsistent; while the quantitative evaluation confirmed that the machine-learning-based approach produced better collocate ranking results than the frequency-based one, lexicographers in most cases considered the listings of collocates of both methods very similar. …”
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Comparing random forest flood frequency analysis with regional flood frequency, Creager and SCS in Doab-Qazanchi, Kermanshah by Maryam Hafezparast, Sadaf Gord, Rasool Ghobadian

“…In this research, floods with different return periods of 2, 5, 20, 50, 100, 200, 500 and 1000 years with Creager and regional flood frequency analysis (RFFA), and the random forest machine learning method using the physical and hydrological characteristics of the surrounding watersheds are predicted. …”
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