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.…”
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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. …”
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A Band-Stop Filter-Based LQR Control Method for Semi-Active Seat Suspension to Mitigate Motion Sickness by Zhijun Fu, Mengyang Jia, Zhigang Zhang, Dengfeng Zhao, Jinquan Ding, Subhash Rakheja

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Research Progress on Stability Analysis of Turning Process by QIN Lei, LIU Er-liang, XING Hong-wei, ZHAO Li-guo

“…During the turning process, the instability caused by chatter will cause a very bad influence on the life of the machine tool and the cutting tool, the machining efficiency and the surface quality In order to improve the efficiency and quality of turning process, it is a very important content to study the stability of turning process and obtain the condition of chatter free turning In this paper, the mechanism of chatter is analyzed, the stability analysis methods of frequency domain and time domain in turning process are summarized, the main problem existing in the flutter analysis are summarized and the future research direction is discussed…”
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Optimizing Tumor Detection in Brain MRI with One-Class SVM and Convolutional Neural Network-Based Feature Extraction by Azeddine Mjahad, Alfredo Rosado-Muñoz

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A Mechanical Fault Identification Method for On-Load Tap Changers Based on Hybrid Time—Frequency Graphs of Vibration Signals and DSCNN-SVM with Small Sample Sizes by Yanhui Shi, Yanjun Ruan, Liangchuang Li, Bo Zhang, Yichao Huang, Mao Xia, Kaiwen Yuan, Zhao Luo, Sizhao Lu

“…Therefore, a novel small-sample-size OLTC mechanical fault identification method incorporating short-time Fourier transform (STFT), synchrosqueezed wavelet transform (SWT), a dual-stream convolutional neural network (DSCNN), and support vector machine (SVM) is proposed. …”
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The Effect of Data Conversion Methods (Naive Bayes, C5.0 & Support Vector Machine) on the Performance of Classification Algorithms in Data Mining by Hussein Ali Attallah, Ahmed Al-Asadi, Doctor, Sadeer Sadeq

“…It was aimed to examine the effects of data transformation on naive Bayes (NB), C5.0 and support vector machines (SVM) by applying minimum-maximum and z-score normalisation and equal width and equal frequency spacing discrimination methods to different types of data produced by simulation. …”
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A Multilevel and Hierarchical Approach for Multilabel Classification Model in SDGs Research by Berliana Sugiarti Putri, Lya Hulliyyatus Suadaa, Efri Diah Utami

“…This study aimed to implement and evaluate problem transformation methods and machine learning classification algorithms with a multilevel and hierarchical approach to categorize research publications into SDG levels. …”
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Comparison of Lithuanian and Polish Consonant Phonemes Based on Acoustic Analysis – Preliminary Results by Gražina KORVEL, Olga KURASOVA, Bożena KOSTEK

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A comparative analysis of fault detection and process diagnosis methods based on a signal processing paradigm by Dorel Aiordăchioaie

“…Abstract An important paradigm in industrial engineering for fault detection and diagnosis purposes is signal processing. The various methods consider methods in the time, frequency, or time–frequency domain for signal processing as state and output signals from the considered process. …”
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Interpretable Evaluation of Sparse Time–Frequency Distributions: 2D Metric Based on Instantaneous Frequency and Group Delay Analysis by Vedran Jurdana

“…Compressive sensing in the ambiguity domain offers an efficient method for reconstructing high-quality time–frequency distributions (TFDs) across diverse signals. …”
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WASPAS-Based Natural Language Processing Method for Handling Content Words Extraction and Ranking Issues: An Example of SDGs Corpus by Liang-Ching Chen, Kuei-Hu Chang, Jeng-Fung Hung

“…Traditional corpus-based methods and the term frequency-inverse document frequency (TF-IDF) method face limitations, including the inability to automatically eliminate function words, effectively extract the relevant parameters’ quantitative data, simultaneously consider frequency and range parameters to evaluate the terms’ overall importance, and sort content words at the corpus level. …”
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Comparing methods for catching and crating broiler chicken flocks: A trade-off between animal welfare, ergonomics and economics by Femke Delanglez, Anneleen Watteyn, Bart Ampe, Veerle Segers, An Garmyn, Evelyne Delezie, Nathalie Sleeckx, Ine Kempen, Niels Demaître, Hilde Van Meirhaeghe, Gunther Antonissen, Frank A.M. Tuyttens

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Application of stochastic methods, wavelet transformations and support vectors for the study of electroencephalogram signals by Veronika V. Tolmanova, Denis A. Andrikov

“…This study explores the application of modern data processing methods - wavelet transformation, stochastic methods, and Support Vector Machine (SVM) - on real electroencephalogram (EEG) signals from open databases. …”
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RUL Prediction Method for Lithium‐Ion Batteries Based on the SOA‐ELM Algorithm by Meng Xiangdong, Zhang Haifeng, Li Dexin, Dong Yunchang, Zhang Jiajun, Cao Xinyu, Li Gang

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Machine Learning-Based Damage Diagnosis in Floating Wind Turbines Using Vibration Signals: A Lab-Scale Study Under Different Wind Speeds and Directions by John S. Korolis, Dimitrios M. Bourdalos, John S. Sakellariou

“…Remote and automated diagnosis, including the stages of detection, identification, and severity characterization of early stage damages in FWTs through advanced vibration-based structural health monitoring (SHM) methods of the machine learning (ML) type, is evidently critical for timely repairs, extending their operational lifecycle, reducing maintenance costs, and enhancing safety. …”
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On the Vibrational Characteristics of a Moving Wire via the KBM Asymptotic Method by Andrii Slipchuk, Petro Pukach, Myroslava Vovk, Andrii Kunynets

“…The influence of the method when fixing the ends on the frequency response is analyzed. …”
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Influence of Loading Frequency on Fatigue of Construction Materials by V. V. Mylnikov

“…A change in cyclic loading frequency affects duration of a single (during one cycle) stay of the material in the loaded state and it has an impact on its durability. …”
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Concept of system frequency and underlying physical backgrounds by Yanjun Liu, Yifan Fang, Jiabing Hu, Wei He, Meng Zhan, Wei Huang, Wenyun Li, Suwei Zhai

“…Various dynamic processes result in frequency fluctuations. Since the node frequency is simultaneously affected by local and other node frequencies, power systems require certain methods to evaluate the frequency stability. …”
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Rolling Bearing Fault Diagnosis Method Based on Fusion of CNN and CSSVM by LI Yunfeng, LAN Xiaosheng, SHEN Hongchang, XU Tongle

“…Secondly, the extended bearing vibration signal is converted into a two- dimensional wavelet time-frequency graph by continuous wavelet transform method. …”
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