Improve the Accuracy of Support Vector Machine Using Chi Square Statistic and Term Frequency Inverse Document Frequency on Movie Review Sentiment Analysis by Ukhti Ikhsani Larasati, Much Aziz Muslim, Riza Arifudin, Alamsyah Alamsyah

“…The feature selection method used is chi square statistic and feature weighting using Term Frequency Inverse Document Frequency (TFIDF). …”
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MODELING AND ANALYSIS OF DYNAMICS IN BEARING SYSTEM OF DRILLING, MILLING AND BORING MACHINE WITH MONO-COLUMN by Yu. V. Vasilevich, S. S. Dovnar, A. S. Truskovsky, I. I. Shumsky

Subjects: “…finite elements method (fem)…”
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TO THE QUESTION OF OPTIMISING THE DYNAMIC CHARACTERISTICS OF A VIBRATIONAL TREE UPROOTING MACHINE by A. R. Mikhitarov, V. L. Savich, V. K. Khegai

“…As shown by analysis, the work of vibrational equipment in a given frequency range can significantly reduce the dynamic loading of the machine and at the same time create appropriate conditions for the effective destruction of the soil-root system.Conclusion The proposed method allows the rational values of the frequency characteristic of vibration equipment for each calculated tree to be found depending on the soil type and the basic machine.…”
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Reservoir Fluid Identification Method Based on Multi-Feature Fusion by JIANG Guoqiang, WU Youbin, LAI Fuqiang, HUANG Zhaohui, YI Hongmei, LI Quan, LI Xu, WANG Qi, LUO Rongtao

“…Based on support vector machine (SVM), the fluid information of the fused feature matrix is recognized, and a reservoir fluid recognition method based on fused multiple features is established. …”
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Studying the frequency spectrum of acoustic emission signals by the infradyne transform method by V.D. Krevchik, A.V. Rudin, V.V. Safonov

“…Conclusions. The use of the method of infradine conversion of acoustic emission signals arising in the elastic deformation mode allowed to significantly reduce the influence of low-frequency external noise signals on the spectrum of recorded acoustic pulses, increase the sensitivity of the acoustic installation and determine the type of micro-defect formed in various machine parts and structures in their operation mode.…”

Evaluation of labor ergonomics of machine milking operators working at milking machines «Carousel» by Yu. A. Tsoy, V. V. Kirsanov, R. A. Mamedova

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FINITE ELEMENT ANALYSIS OF CONCRETE FILLER INFLUENCE ON DYNAMIC RIGIDITY OF HEAVY MACHINE TOOL PORTAL by Yu. V. Vasilevich, S. S. Dounar, I. A. Karabaniuk

Subjects: “…finite elements method, machine tool, rigidity, resonance, frequency-response characteristics, vibration, concrete, polymer concrete, slab…”
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Detection of Transformer Faults: AI-Supported Machine Learning Application in Sweep Frequency Response Analysis by Hakan Çuhadaroğlu, Yılmaz Uyaroğlu

“…In this context, Sweep Frequency Response Analysis (SFRA) has emerged as an effective method for detecting potential faults at an early stage by examining the frequency responses of transformers. …”
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High-Frequency Cryptocurrency Price Forecasting Using Machine Learning Models: A Comparative Study by Fátima Rodrigues, Miguel Machado

“…Existing forecasting methods often struggle with the inherent non-stationarity and complexity of cryptocurrency price dynamics. …”
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Utilizing Machine Learning and Deep Learning for Precise Intensity-Duration-Frequency (IDF) Curve Predictions by Sheeraz Majeed Ameen, Shuokr Qarani Aziz, Anwer Hazim Dawood, Azhin Tahir Sabir, Dara Muhammad Hawez

“…This study adopts a comparative approach to estimate IDF curves using a combination of traditional statistical methods, machine learning techniques, and advanced deep learning models. …”
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Impacts of Electric Vehicle Penetration on the Frequency Stability of Curaçao’s Power Network by Daniela Vásquez-Cardona, Sergio D. Saldarriaga-Zuluaga, Santiago Bustamante-Mesa, Jesús M. López-Lezama, Nicolás Muñoz-Galeano

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Distributed Virtual Inertia Control Strategy for Multi-Virtual Synchronous Machine Parallel System Based on Neighbor Communication by Ge Cao, Hanbing Wu, Yao Liu, Qiang Ren

Subjects: “…virtual synchronous machine…”
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A Case Study of Frequency Analysis of the Contribution of a Single Number Quantity to the Introduction of Rubber Ball Impact Sound and Changes in Assessment Methods by Hee-Mo Goo, Soon-Seong Moon, Jun-Oh Yeon

“…As a result, the pre-approval system showed a high contribution rate mainly in the 63 Hz band, but the post-verification system expanded the contribution rate to the mid-low frequency band of 63–160 Hz. In particular, the evaluation method using the A-weighted maximum floor impact sound level (<i>L</i>′_{<i>iA</i>,<i>Fmax</i>}) of the post-verification system was found to reflect the performance in the mid- and high-frequency band of 125–250 Hz more effectively. …”
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Method of DFIG Cooperating with SVG to Suppress Low-Frequency Oscillation in Power Systems by Lei YANG, Weigong GAN, Shengnan LI, Xin ZHOU, Peng HE, Xin HE, Jie ZHANG, Delin WANG

“…The characteristic root of the system is changed, and the modalities of the oscillating signals are analyzed based on Prony method. The results show that the method can effectively provide positive damping, suppress low-frequency oscillation of the system, accelerate the stabilization of oscillation waveform and improve the small signal stability of the power system.…”
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MODELING OF THE MACHINE FOR THE BALANCING OF THE ROTOR IN THE ANSYS SOFTWARE COMPLEX by I. R. Tazeyev, S. O. Gaponenko, A. E. Kondratiev, A. N. Zamaliev

“…The natural oscillation frequencies of the 3D models of the balancing machine bed and the rotor of the gas turbine engine 16M were calculated to determine the informative frequency range that the rotor should be hard-bearing balanced.…”
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Anomaly Detection in Industrial Machine Sounds Using High-Frequency Features and Gate Recurrent Unit Networks by Thi-Thu-Huong Le, Andro Aprila Adiputra, Jiwon Yun, Howon Kim

“…Our study focuses on feature extraction methods such as Mel-spectrograms and Mel-frequency Cepstral Coefficients (MFCCs) to capture critical acoustic characteristics of industrial machinery. …”
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Design and Technological Aspects of Integrating Multi-Blade Machining and Surface Hardening on a Single Machine Base by Vadim Skeeba, Vladimir Ivancivsky, Aleksey Chernikov, Nikita Martyushev, Nikita Vakhrushev, Kristina Titova

“…Theoretical studies were carried out using the basic provisions of system analysis, geometric theory of surface formation, design of metalworking machines, methods of finite elements, and mathematical and computer modeling. …”
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Predicting low ionospheric parameters and low frequency sky wave propagation strength using machine learning by Jian Wang, Chengsong Duan, Qiao Yu, Cheng Yang

“…Therefore, to enhance the predicting accuracy of LF sky wave propagation, we proposed an improved method based on the machine learning method. Firstly, we employed a machine learning method to create a prediction model for the critical frequency of the low ionospheric E layer (f oE), which significantly affects LF sky wave propagation. …”
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Frequency Response Function-Based Finite Element Model Updating Using Extreme Learning Machine Model by Yu Zhao, Zhenrui Peng

“…A frequency response function- (FRF-) based surrogate model for finite element model updating (FEMU) is presented in this paper. …”
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A Comprehensive Review of Transformer Winding Diagnostics: Integrating Frequency Response Analysis with Machine Learning Approaches by Meysam Beheshti Asl, Issouf Fofana, Fethi Meghnefi, Youssouf Brahami, Joao Pedro Da Costa Souza

“…Frequency Response Analysis (FRA) is a proven method for detecting mechanical faults in transformers, such as winding deformations and short circuits. …”
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