ATM transaction simulation: combination of ACDs and cox process by Reza Habibi

“… Two main approaches for analyzing the ultra-frequency data such as ATM (auto teller machine) transaction are Cox process and autoregressive conditional durations (ACDs). …”
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Discovery of Characteristic Patterns from Transactions with Their Classes by Shigeaki Sakurai

“…Also, this paper verifies the effect of the method through numerical experiments based on the data registered in the UCI machine learning repository and the RFID (radio frequency identification) data collected from two apparel shops.…”
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In-situ defect detection and material property evaluationin additive manufacturing using acoustic signal and machinelearning by Abdullah Bin Zainal, Zheng Jie Tan, Saritha Samudrala, Zi Wen Tham, Lei Zhang, Santhakumar Sampath

“…This study presents an acoustic-based real-time process monitoring method integrated with machine learning for LPBF process. …”
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Study of Detection of Typical Pesticides in Paddy Water Based on Dielectric Properties by Shuanggen Huang, Mei Yang, Junshi Huang, Longwei Shang, Qi Chen, Fang Peng, Muhua Liu, Yan Wu, Jinhui Zhao

“…Due to the dramatic increase in pesticide usage and improper application, large amounts of unused pesticides enter the environment through paddy water, causing severe pesticide pollution. To find a rapid method for identifying pesticide types and predicting their concentrations, the dielectric properties frequency response of pesticides was analyzed in paddy water. …”
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Research on Suppression of Vibration Caused by Combustion Pressure Pulsation in Aircraft Engines by Liang Hong, Chao-Ping Zang, He-Jiong Ji, Qiu-Xia Yu, Yun-Fan Jiang, Lian Shen

“…Then, according to the results through the main combustion chamber component tests and overall machine tests, the narrow frequency high-energy components in the airflow pulsation and overall machine vibration disappeared, which meant that the vibration of the aircraft engine was effectively suppressed. …”
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Robust EEG Characteristics for Predicting Neurological Recovery from Coma After Cardiac Arrest by Meitong Zhu, Meng Xu, Meng Gao, Rui Yu, Guangyu Bin

“…By integrating machine learning (ML) algorithms, such as Gradient Boosting Models and Support Vector Machines, with SHAP-based feature visualization, robust screening methods were applied to ensure the reliability of predictions. …”
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Automatic Recognition of Authors Identity in Persian based on Systemic Functional Grammar by Fatemeh Soltanzadeh, Azadeh Mirzaei, Mohammad Bahrani, Shahram Modarres Khiabani

“…Measuring the frequency of function words is one valid method for author identification. …”
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Design and Analysis of SSSC-Based Damping Controller: A Novel Modified Zebra Optimization Algorithm Approach by Rajendra Kumar Khadanga, Deepa Das, Sidhartha Panda

“…The main objective of this research project is to demonstrate a valuable method for scheduling an SSSC damping controller installed in a single-machine infinite bus (SMIB) power system. …”
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Algorithm for Identification Electromagnetic Parameters of an Induction Motor When Running on a Three-Phase Power Plant by D. S. Odnolko

“…Results of simulation demonstrated how effective of the proposed method of identification. The flexible structure of the algorithm allows it to be used for preliminary identification of an induction motor, and in the process operative work induction motor in the frequency-controlled electric drive with vector control.…”
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Effect of Stiffness of Bearings and Gearbox Housing on the Dynamic characteristic of Drive System by Xu Liang, Shi Chunbao, Long Wei

“…The dynamic characteristic simulation analysis model of a directional drilling machine power head gearbox for different levels of complex is established based on the detailed introduction of the modeling method of main components in gearbox,the influence of the stiffness of bearings and housing on dynamic characteristic of gear drive system is discussed. …”
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Mobile platform continuous authentication scheme based on gait characteristics by Li YANG, Zhuoru MA, Chenghui ZHANG, Qingqi PEI

“…The popularity of smart phones renders people extremely high requirements for safety.But the traditional one-time authentication method can’t continuously guarantee the security of equipment.To solve the problem,a continuous authentication scheme based on gait characteristics was proposed to realize the identification of current visitors.Moving average filtering,threshold-based useful information interception method and other operations were adopted to reduce noise interference.Template interception was used to maximize the utilization of information,and an optimal combination of time domain features and frequency domain features were proposed to reduce the storage space requirement of users’ information.Finally,the support vector machine realized the identity authentication function.Experiments show that the proposed scheme can effectively authenticate the identities of visitors.…”
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Transformed common spatial pattern for motor imagery-based brain-computer interfaces by Zhen Ma, Kun Wang, Minpeng Xu, Minpeng Xu, Minpeng Xu, Weibo Yi, Fangzhou Xu, Dong Ming, Dong Ming

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Acoustic fault diagnosis of traction motor bearing based on fusion feature by YANG Gang, WEI Yuqian, LI Fu

“…Aiming at the problem that a small number of features cannot fully characterize the bearing fault when applying machine learning to acoustic fault diagnosis, this paper proposes to superimpose and fuse the Gramian angular field (GAF) and wavelet time-frequency figure to form a six channel fusion feature map to effectively characterize the bearing fault. …”
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Design and experiment of air-suction drum-type seedling seeder for irregular-shaped vegetable seeds by Yanjun Li, Yunqiang Liu, Yichao Ning, Hongxin Wu, Yaqian Zhao

“…The relationship between the main factors (suction air pressure, clearing air pressure and vibration frequency of seed supply box) and the seeding indexes (reseeding rate, empty hole rate and pass rate) was studied, and the effects of the factors and their interactions on the indexes were analyzed and the parameters were optimized by multi-objective optimization method. …”
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A multiple improved envelope spectra via feature optimization gram (MIESFO-gram) for diagnosis of compound fault signatures by Yazdanianasr Mahsa, Mauricio Alexandre, Gryllias Konstantinos

“…Therefore, the ability to detect combined faults in machinery, having different cyclic frequencies is critical. Envelope Analysis is a popular method for bearing diagnostics, however, as several damaged bearings may excite not only different but also several frequency bands simultaneously, band-pass filtering around only one frequency band may not be sufficient to detect all bearing faults in a machine, especially if it operates under varying conditions. …”
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Experimental and Analytical Studies on Improved Feedforward ML Estimation Based on LS-SVR by Xueqian Liu, Hongyi Yu

“…Maximum likelihood (ML) algorithm is the most common and effective parameter estimation method. However, when dealing with small sample and low signal-to-noise ratio (SNR), threshold effects are resulted and estimation performance degrades greatly. …”
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PMSM Sensorless Direct Torque Control System with Improved STSMO by LÜ Degang, JI Tanglong, JIANG Gouwei

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Stabilization of Voltage Parameters of Induction Generator Excited by a Voltage Inverter by Padalko D.A.

“…The use of semiconductor frequency converters makes it possible to provide high stability of the output voltage parameters and good speed of the mechatronic generation system with an asynchronous machine.…”
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Technological Features of Forming Flat Tool for Processing Axicons by A. S. Kozeruk, R. O. Dias Gonzalez, A. A. Sukhotzkiy, M. I. Filonova, V. O. Kuznechik

“…It has been substantiated that in order to control the process of forming flat surfaces while using a free grinding method it is advisable to choose such machine setup parameters as a tool diameter and its rotation frequency, an amplitude of the reciprocating movement of the part along the tool (or vice versa) and frequency of this movement, as well as the value of  the working  force.  …”
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Rail Corrugation Detection of High-Speed Railway Using Wheel Dynamic Responses by Jianbo Li, Hongmei Shi

“…Detection of rail corrugation wavelength and depth is absolutely essential for maintenance and safety. A novel method using wheel vibration acceleration is proposed in this paper, in which ensemble empirical mode decomposition (EEMD) is employed to estimate the wavelength, and bispectrum features are extracted to recognize the depth with support vector machine (SVM). …”
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