Evaluation of FIR bandpass filter and Welch method implementation for centrifugal pump fault detection by Dedik Romahadi, Aberham Genetu Feleke, Tri Wahyu Adinarto, Dafit Feriyanto, Agung Wahyudi Biantoro, Fatkur Rachmanu

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A Novel Method for Epileptic Seizure Detection Using Separable Gabor Wavelets by Aswini Kumar Samantaray, Amol D. Rahulkar

“…Lastly, to distinguish between seizure-free and epileptic seizures, the most discriminative variables are given into a support vector machine (SVM) classifier. The proposed method’s classification performance is evaluated against a number of cutting-edge epileptic seizure detection methods. …”
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Data-driven fault identification method of RV reducer used in industrial robot by Dongdong Guo, Yan Zhang, Xiangqun Chen, Hao Peng, Zongrui Jiang, Haitao Ma, Wenbo Du

“…The constant speed segment data extraction method is designed to overcome the difficulty of frequency domain analysis caused by non-uniform rotation in working conditions and ensure the quality and effectiveness of features extraction. …”
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A novel seismic inversion method based on multiple attributes and machine learning for hydrocarbon reservoir prediction in Bohai Bay Basin, Eastern China by Zongbin Liu, Jianmin Zhu, Bo Tian, Rui Zhang, Yongheng Fu, Yuan Liu, Lixin Wang

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Hyperspectral Reconstruction Method Based on Global Gradient Information and Local Low-Rank Priors by Chipeng Cao, Jie Li, Pan Wang, Weiqiang Jin, Runrun Zou, Chun Qi

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A Coupling Method for the Stability of Reflectors and Support Structure in an ALB Optical-Mechanical System by Guoqing Zhou, Jianyin Liu, Ke Gao, Rundong Liu, Yi Tang, Angte Cai, Xiang Zhou, Jiasheng Xu, Xiaolan Xie

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High-frequency stock price prediction via deep learning by Jianlong Bao, Takayuki Morimoto

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Output current harmonic analysis and suppression method for PMSM drive system with modular multilevel converter by Yang Zhang, Sicheng Li, Bing Luo, Chaokui Luo, Zhi Yu

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Wind Turbine Blade Fault Detection Method Based on TROA-SVM by Zhuo Lei, Haijun Lin, Xudong Tang, Yong Xiong, He Wen

“…This method integrates the Tyrannosaurus Optimization Algorithm (TROA) with a support vector machine (SVM), aiming to enhance the accuracy and reliability of fault detection. …”
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Spatio-Temporal Frequency Distribution Analysis in Systems With Grid-Forming and Grid-Following Inverters: A New Perspective From Frequency Domain by Zhen Wang, Yu Shan, Yue Zhu, Ruixu Liu, Yunjie Gu

“…The high penetration of inverter-based resources (IBRs) in power systems has brought challenges to system frequency stability due to reduced inertia. The conventional method for frequency stability assessment uses the center-of-inertia (CoI) frequency as a single indicator to represent the frequency throughout the entire system, which overlooks the spatio-temporal distribution of frequencies among multiple nodes during transients. …”
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Research Progress of Dangerous Driving Behavior Recognition Methods Based on Deep Learning by Junjian Hou, Bingyu Zhang, Yudong Zhong, Wenbin He

“…In this paper, the research progress in the recognition methods of dangerous driving behavior based on deep learning is analyzed. …”
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Prediction of Spectral Response for Explosion Separation Based on DeepONet by Xiaoqi Chen, Zhanlong Qu, Yuxi Wang, Zihao Chen, Ganchao Chen, Xiao Kang, Ying Li

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End-Region Losses in High-Power Electrical Machines: Impact of Material Thickness on Eddy Current Losses in Clamping Structures by Walid Mohand Oussaid, Abdelmounaïm Tounzi, Raphaël Romary, Abdelkader Benabou, Walid Boughanmi, Daniel Laloy

“…These structures are exposed to end-region magnetic flux, which induces eddy currents, leading to significant power losses that reduce the machine’s efficiency. This study systematically investigates the impact of clamping plate thickness on eddy current losses across different materials and operating frequencies. …”
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Rotor dynamics of turbocompressor based on the finite element analysis and parameter identification approach by Verbovyi A., Khomenko V., Neamtu C., Pavlenko V., Simonovskiy V., Pavlenko I.

“…The theorem was also proven by the mutual location of the spectra of the natural and critical frequencies. Overall, the proposed scientific approach reduces preparation and machine time compared to numerical modeling using the ANSYS software without losing the accuracy of the calculations.…”
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Static frequency converter for large pumped storage units by Weiliang Wu, Xiping Liu

“…Therefore, it is necessary to use a static frequency converter to drive the machine for static starting and variable frequency operation. …”
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Integrating spatiotemperporal features into fault prediction using a multi-dimensional method by Chun-Yi Lin, Yu-Chuan Tseng, Wu-Sung Yao

“…This study proposes a method to validate multidimensional fault prediction models. …”
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On the effect of sampling frequency on the electricity theft detection performance by Fatemeh Soleimani Nasab, Foad Ghaderi

“…While the prediction accuracy of these methods depends on the number and quality of the existing samples used for training models, the majority of previous research work focussed on data with high sampling frequencies, for example, data from smart grids. …”
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A single flow detection enabled method for DDoS attacks in IoT based on traffic feature reconstruction and mapping by Lixia XIE, Bingdi YUAN, Hongyu YANG, Ze HU, Xiang CHENG, Liang ZHANG

“…To address the slow response time of existing detection modules to Internet of things (IoT) distributed denial of service (DDoS) attacks, their low feature differentiation, and poor detection performance, a single flow detection enabled method based on traffic feature reconstruction and mapping (SFDTFRM) was proposed.Firstly, SFDTFRM employed a queue to store previously arrived flow based on the first in, first out rule.Secondly, to address the issue of similarity between normal communication traffic of IoT devices and DDoS attack traffic, a multidimensional reconstruction neural network model more lightweight compared to the baseline model and a function mapping method were proposed.The modified model loss function was utilized to reconstruct the quantitative feature matrix of the queue according to the corresponding index, and transformed into a mapping feature matrix through the function mapping method, enhancing the differences between different types of traffic, including normal communication traffic of IoT devices and DDoS attack traffic.Finally, the frequency information was extracted using a text convolutional network and information entropy calculation and the machine learning classifier was employed for DDoS attack traffic detection.The experimental results on two benchmark datasets show that SFDTFRM can effectively detect different DDoS attacks, and the average metrics value of SFDTFRM is a maximum of 12.01% higher than other existing methods.…”
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Analysis of the account of slot harmonics in stator’s EMF in mathematical modeling of the process of testing induction motors by the mutual load method by V. V. Kharlamov, D. I. Popov

“…It is shown that the spectrum-current analysis method can be used to determine rotation speed of induction machines when they are tested by the mutual load method using various schemes. …”
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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

“…Paired t-tests, Cohen’s effect size, and two-way ANOVA showed that aligning teaching methods with learning styles improved students’short-term exam scores and engagement. …”
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