IFNet: An Interactive Frequency Convolutional Neural Network for Enhancing Motor Imagery Decoding From EEG by Jiaheng Wang, Lin Yao, Yueming Wang

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Advanced High Switching-Frequency Cascaded H-Bridge Multilevel Inverter Based Shunt Active Filter for PV Generation: A Case Study by Nabil Karania, Mohamad Alaaeddin Alali, Stefano Di Gennaro, Jean Pierre Barbot

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Design and Characteristic Research of the Spindle Box of Vertical Machining Center by Gao Dongqiang, Yang Lei, Sun Qian, Zhang Xifeng

“…Headstock is the key components of the high speed vertical machining center,its static stiffness,dynamic characteristics has great effect on machining precision and stability of machining center.Taking DVG850 high speed vertical machining center spindle box as the research object,the design scheme of geometrical model of four kinds of different structure of spindle box is established,by using the finite element simulation software,the simulating calculation of the statics,modal and harmonic response of the spindle box are carried out,the resonance region of spindle box under static stiffness,natural frequency,vibration mode and the excitation frequency are got.Through the comparison analysis of finite element simulation of cloud and data,known that scheme two rib structure is the best layout,it is indicated that the research method can be to improve the spindle box structure natural frequency and increase the structure stiffness.provides the basis for avoiding resonance,for other machine tool spindle box the theory basis for optimization of structural design and improvement is provided,the design cycle can be shorten.…”
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Effectiveness Analysis on Human-Machine Information Interaction of Intelligent Highway by Yicheng Zhou, Tuo Sun, Shunzhi Wen, Hao Zhong, Youkai Cui, Jiemin Xie, Wei Wu, Wanjing Ma

“…Different human-machine collaboration modes and driving simulation tests with the orthogonal method considered are designed for a series of typical intelligent highway landscapes. …”
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A PSO-based approach for parameter estimation in synchronous machines by Leguebedj Farid, Benmahamed Youcef, Boukhetala Djamel, Boughrara Kamel

“…The difference between the frequency responses of the identified and simulated models at a standstill is minimized using a quadratic criterion in this method. …”
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Application of Deep Support Vector Machine in Gear Fault Diagnosis by Lei Yu, Sen Chen, Rui Zhang, Ke Li, Lei Su

“…A gearbox fault diagnosis method based on Variational Mode Decomposition（VMD）and Deep Support Vector Machine(DSVM) is proposed. …”
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Research on dynamic migration of critical virtual machines for multi-tenancy by Shuo ZHAO, Xin-sheng JI, Guo-zhen CHENG, Yu-xing MAO

“…A dynamic migration method of critical virtual machines for multi-tenancy was proposed.Firstly,the tenants can set ratio of critical virtual machines according to tenant's security requirements,then the dynamic migration frequency of virtual machines were maximized by the coexistence time constraints between virtual machines,finally the migration cost was minimized as an object function for the virtual machines migrated to further reduce the migration cost.Simulation experiments demonstrate that the proposed approach can reduce the impact on the performance of network services and the cost of virtual machines migration,and is more suitable for large-scale network scenarios under the premise of effective defense side-channel attacks.…”
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Fusion of Vibration and Current Signatures for the Fault Diagnosis of Induction Machines by Meng-Kun Liu, Minh-Quang Tran, Peng-Yi Weng

“…We applied the wavelet packet decomposition to extract the time-frequency features of the vibration and current measurements and used the support vector machines as classifiers for the initial decision-making. …”
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Breath Detection from a Microphone Using Machine Learning by Tomasz Sankowski, Piotr Sulewski, Jan Walczak, Aleksandra Bruska

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Frequency Regulation of AUT Microgrid Using Modified Fuzzy PI Controller for Flywheel Energy Storage System by mohammad saeed mahdavi, Gevork B. Gharehpetian, Parisa Ranjbaran, Hossein Azizi

“…Usage of flywheel energy storage system (FESS) is a common method for frequency regulation due to its high power injection capacity and long life time. …”
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Optimization of the Microprogram Mealy Machine Circuit Based on LUT and EMB by Alexandr Barkalov, Larysa Titarenko, Svitlana Saburova, Oleksandr Golovin, Oleksandr Matvienko

“…Analysis of the circuits of microprogrammed machines with double coding of states shows that regular circuits have a number of advantages over circuits based on functional decomposition: a smaller number of LUT elements and interconnections, a higher frequency of synchronization pulses (high speed), a lower value of consumed power. …”
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Direct entanglement detection of quantum systems using machine learning by Yulei Huang, Liangyu Che, Chao Wei, Feng Xu, Xinfang Nie, Jun Li, Dawei Lu, Tao Xin

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Rotational Doppler Signal Classification Based on Support Vector Machine by Song Qiu, Jin Zheng, Minghui Xiong

“…However, the results obtained from this detection method are easily influenced by the detection conditions. …”
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Increasing the energy efficiency of auxiliary machines of AC electric locomotive by Yu. M. Kulinich, S. A. Shukharev, A. V. Gulyaev

“…The auxiliary asynchronous machines of these locomotives are controlled by the vector control method. …”
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Machine Learning Techniques for Enhanced Intrusion Detection in IoT Security by Hanadi Hakami, Muhammad Faheem, Majid Bashir Ahmad

“…Therefore, it is necessary to find an efficient method for solving the problem by using classification with an intrusion detection system which analyzes enormous amounts of traffic data. …”
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Knowledge-Grounded Attention-Based Neural Machine Translation Model by Huma Israr, Safdar Abbas Khan, Muhammad Ali Tahir, Muhammad Khuram Shahzad, Muneer Ahmad, Jasni Mohamad Zain

“…Extensive analysis confirms our claim that the translations influenced by additional information may occasionally contain rare low-frequency words and faithful translation. Experimental results on a different language pair DE-EN demonstrate that our suggested method is more efficient and general.…”
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Machine Learning-based Water Quality Forecasting for Shenzhen Bay by XIONG Jianzhi, XIONG Rui, LU Haiyan, ZHENG Yi

“…Based on high-frequency monitoring data collected by the buoy online monitoring system in Shenzhen Bay, machine learning methods including artificial neural networks (ANN), support vector regression (SVR), and random forest (RF) are employed to conduct short-term forecasting of water quality parameters such as dissolved oxygen (DO), chlorophyll-a (Chl.a), total nitrogen (TN), and total phosphorus (TP). …”
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Time Frequency Analysis Based Fault Detection in PV Array Using Scaling Basis Chirplet Transform by S Ramana Kumar Joga, Chidurala SaiPrakash, Srikanth Velpula, Alivarani Mohapatra, Theophilus A. T. Kambo Jr.

“…In this study, we propose a novel fault detection method based on Time Frequency Analysis (TFA) using the Scaling Basis Chirplet Transform (SBCT). …”
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Coral reef detection using ICESat-2 and machine learning by Gabrielle A. Trudeau, Kim Lowell, Jennifer A. Dijkstra

“…This research establishes a new application of ICESat-2 data combined with advanced machine learning techniques as a promising method for efficient and cost-effective coral reef monitoring. …”
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Unmasking the Fake: Machine Learning Approach for Deepfake Voice Detection by Muhammad Usama Tanveer Gujjar, Kashif Munir, Madiha Amjad, Atiq Ur Rehman, Amine Bermak

“…We present an advanced method for deepfake voice detection, leveraging a custom model named MFCC-GNB XtractNet. …”
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