Micro-electrical Discharge Machining of Micro-holes Based on Integrated Orthogonal Experiments and CNN Methods by Yuandong MO, Yazhi WANG, Shuqi HUANG, Jiajun ZHONG

“…For the taper angle in micro-hole machining, the hierarchy is feed rate, pulse duty cycle, spindle speed, and pulse frequency, and the optimal combination parameters is a feed rate of 0.05 mm/s, a spindle speed of 1 500 r/min, a pulse duty cycle of 60%, and a pulse frequency of 3 000 Hz. …”
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LEVERAGING MACHINE LEARNING METHODS IN PREDICTING AND ANALYZING THE ASSOCIATION BETWEEN DIETARY INFLAMMATORY INDEX AND ALOPECIA by Mohammed Sarwat M Salih, Hawal Lateef Fateh, Soran Abdulkarim Pasha, Hassan M Tawfiq

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Evaluating Factors Affecting Flood Susceptibility in the Yangtze River Delta Using Machine Learning Methods by Kaili Zhu, Zhaoli Wang, Chengguang Lai, Shanshan Li, Zhaoyang Zeng, Xiaohong Chen

“…This research developed an index system comprising 10 indicators associated with factors and environments that lead to disasters, and used machine learning methods to assess flood susceptibility. …”
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Enhancing Low Frequency Oscillations Damping of a Power System by a TCSC Controlled with Sliding Mode Method by Hossein Amootaghi, Shahrokh Shojaeian, Ehsan Salleala Naeini

“…In this paper, sliding mode control is applied for improving the low frequency oscillations damping of a single machine connected to an infinite bus. …”
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Research on Pedestrian and Cyclist Classification Method Based on Micro-Doppler Effect by Xinyu Chen, Xiao Luo, Zeyu Xie, Defang Zhao, Zhen Zheng, Xiaodong Sun

“…Firstly, distinct from conventional time-frequency fusion methods, a preprocessing module was developed to solely perform frequency-domain fitting on radar echo data of pedestrians and cyclists in forward motion, with the purpose of generating fitting coefficients for the classification task. …”
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MODAL ANALYSIS OF CARRIER SYSTEM FOR HEAVY HORIZONTAL MULTIFUNCTION MACHINING CENTER BY FINITE ELEMENT METHOD by Yu. V. Vasilevich, S. S. Dovnar, I. I. Shumsky

“…Virtual and operational trials of the machine have been carried out simultaneously. Modeling has been executed with the help of a finite element method (FEM). …”
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Fault Diagnosis Method of Bearing based on LCD Cross Approximate Entropy and Relevance Vector Machine by Tan Jingjing, Gao Feng, Zhang Qiantu

“…Aiming at the fault diagnosis problem of rolling bearing,a fault diagnosis method of rolling bearing based on local characteristic-scale decomposition（LCD） cross approximate entropy（CAE） and relevance vector machine（RVM） is proposed. …”
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Intelligent Diagnosis Method for Centrifugal Pump System Using Vibration Signal and Support Vector Machine by Hongtao Xue, Zhongxing Li, Huaqing Wang, Peng Chen

“…This paper proposed an intelligent diagnosis method for a centrifugal pump system using statistic filter, support vector machine (SVM), possibility theory, and Dempster-Shafer theory (DST) on the basis of the vibration signals, to diagnose frequent faults in the centrifugal pump at an early stage, such as cavitation, impeller unbalance, and shaft misalignment. …”
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Research on CNC Machine Tool Spindle Fault Diagnosis Method Based on DRSN–GCE Model by Xiaoxu Li, Jiahao Wang, Jianqiang Wang, Jixuan Wang, Jiaming Chen, Xuelian Yu

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Time-domain virtual tapping machine method for numerical evaluation of transient acoustic performance in cruise cabins by Yingying Zuo, Deqing Yang, Jian Xiao

“…In this paper, a general time-domain virtual tapping machine method for numerical evaluation of transient acoustic performance in cruise cabins is proposed. …”
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Dynamic Performance Analysis of High-Frequency Signal Injection Based Sensorless Methods for Interior Permanent Magnet Synchronous Motors by Ahmadreza Alaei, Dong Hee Lee, Jin woo Ahn, Sayed Morteza Saghaeian Nejad

“…Some efforts have been performed to compare such high frequency signal injection based methods from viewpoint of some parameters such as injection frequency, voltage magnitude and so on. …”
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Fault Diagnosis of a Hydraulic Pump Based on the CEEMD-STFT Time-Frequency Entropy Method and Multiclass SVM Classifier by Wanlin Zhao, Zili Wang, Jian Ma, Lianfeng Li

“…Second, the time-frequency analysis methods, which include the Short-Time Fourier Transform (STFT) and time-frequency entropy calculation, are applied to realize the robust feature extraction. …”
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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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Shock Signal Trend Term Error Correction Method Based on Discrete Wavelet Transform and Low-Frequency Oscillator Combination by Peng Wang, Ming Yan, Lei Zhang, Ning Yang

“…A discrete wavelet transform (DWT) and low-frequency oscillator combination method is proposed for correcting shock signals in this paper. …”
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Time–Frequency-Domain Fusion Cross-Attention Fault Diagnosis Method Based on Dynamic Modeling of Bearing Rotor System by Shiyu Xing, Zinan Wang, Rui Zhao, Xirui Guo, Aoxiang Liu, Wenfeng Liang

“…However, methods like self-attention have limitations. They only capture features within a single sequence. …”
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Machine learning methods for predicting human-adaptive influenza A virus reassortment based on intersegment constraint by Dan-Dan Zeng, Dan-Dan Zeng, Yu-Rong Cai, Sen Zhang, Fang Yan, Tao Jiang, Jing Li

“…IntroductionIt is not clear about mechanisms underlining the inter-segment reassortment of Influenza A viruses (IAVs).We analyzed the viral nucleotide composition (NC) in coding sequences,examined the intersegment NC correlation, and predicted the IAV reassortment using machine learning (ML) approaches based on viral NC features.MethodsUnsupervised ML methods were used to examine the NC difference between human-adapted and zoonotic IAVs. …”
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Accuracy of machine learning methods in predicting prognosis of patients with psychotic spectrum disorders: a systematic review by Wilson W S Tam, Kang Sim, Jing Ling Tay, Yun Ling Ang

“…Factors influencing outcomes included demographic (age, ethnicity), illness (duration of untreated illness, types of symptoms), functioning (baseline functioning, interpersonal relationships and activity engagement), treatment variables (use of higher doses of antipsychotics, electroconvulsive therapy), data from passive sensor (call log, distance travelled, time spent in certain locations) and online activities (time of use, use of certain words, changes in search frequencies and length of queries).Conclusion Machine learning methods show promise in the prediction of prognosis (specifically functioning, relapse and remission) of mental disorders based on relevant collected variables. …”
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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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Mutual-Energy Inner Product Optimization Method for Constructing Feature Coordinates and Image Classification in Machine Learning by Yuanxiu Wang

“…This paper proposes the mutual-energy inner product optimization method for constructing a feature coordinate system. …”
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Power Quality Disturbance Classification Method Based on Unscented Kalman Filter and Kernel Extreme Learning Machine by Yanjun Jiao, Haoyu Cao, Linke Wang, Jiahui Wei, Yansong Zhu, Hucheng He

“…Considering the limitations of the traditional time–frequency domain method and the complexity of the optimization algorithm in extracting features, a novel algorithm is proposed to classify the PQDs in this paper, which is based on the unscented Kalman filter (UKF) and the kernel extreme learning machine (KELM). …”
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