Hybridize Machine Learning Methods and Optimization Techniques to Analyze and Repair Welding Defects via Digital Twin of Jidoka Simulator by Ahmed M. Abed, Tamer S. Gaafar

Get full text

Magneto Inductive (MI) Channel Variables Prediction Through Machine Learning Linear Regression Method, for Underwater and Underground WSNs by Aman Muhammad, Fuzhong Li, Syed Agha Hassnain Mohsan, Zahid Ullah Khan, Waqar Khan, Sajid Ullah Khan, Ziqi Han, Faheem Khan

Get full text

Regression machine learning methods for isolation prediction and massive gain broadband MIMO antenna design for 28 GHz applications by Md.Ashraful Haque, Redwan A. Ananta, Jun-Jiat Tiang, Mouaaz Nahas, Md Afzalur Rahman, Narinderjit Singh Sawaran Singh

Get full text

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. …”
Get full text

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

Get full text

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. …”
Get full text

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

Get full text

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). …”
Get full text

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

Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Combined Method for Informative Feature Selection for Speech Pathology Detection by D. S. Likhachov, M. I. Vashkevich, N. A. Petrovsky, E. S. Azarov

Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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). …”
Get full text

Health condition prediction method of the computer numerical control machine tool parts by ensembling digital twins and improved LSTM networks by Chen Guo, Yin Haifang

“…This research provides a new method for monitoring and predicting the health condition of parts of CNC machine tools, which has important practical significance for optimizing and improving the production efficiency of manufacturing industries.…”
Get full text

Research on multi-objective optimization design for high-precision turning-milling machine tool bed based on taguchi method -FEA by Hongyi Wu, Haozhen Li, Xuanyi Wang, Junshou Yang, Runze Jiang, Xiaolei Deng, Jianchen Wang

“…To ensure machining precision, this paper proposes a multi-objective collaborative optimization design methodology integrating Finite Element Analysis(FEA) and Taguchi Method. …”
Get full text

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. …”
Get full text