The modal analysis and steady-state response in vibration transportation mechanism of rice seeding thrower by LI Jian-ping, ZANG Shao-feng

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Study of the technical parameters dynamics influence on operational performance of hydraulic single-bucket excavators by R. F. Salikhov, V. B. Permiakov

“…The purpose of the proposed article is to improve the method of calculating the performance of a single-bucket hydraulic excavator (EO), taking into account the operating time.Methods and materials. …”
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Mechanical Fault Diagnosis Method of a Disconnector Based on Improved Dung Beetle Optimizer–Multivariate Variational Mode Decomposition and Convolutional Neural Network–Bidirection... by Chi Zhang, Hongzhong Ma, Wei Sun

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Fine-Grained Fault Diagnosis Method of Rolling Bearing Combining Multisynchrosqueezing Transform and Sparse Feature Coding Based on Dictionary Learning by Guodong Sun, Yuan Gao, Kai Lin, Ye Hu

“…To accurately diagnose fine-grained fault of rolling bearing, this paper proposed a new fault diagnosis method combining multisynchrosqueezing transform (MSST) and sparse feature coding based on dictionary learning (SFC-DL). …”
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Sound Quality Prediction Method of Dual-Phase Hy-Vo Chain Transmission System Based on MFCC-CNN and Fuzzy Generation by Jiabao LI, Lichi AN, Yabing CHENG, Haoxiang WANG

“…Noise acquisition tests are conducted under various working conditions, followed by subjective evaluations using the equal interval direct one-dimensional method. Objective evaluations are performed using the Mel-frequency cepstral coefficient (MFCC). …”
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Analysis of the dynamic state of the system "fixture – workpiece" by V. О. Ivanov, V. E. Karpus, І. М. Dehtiarov, І. V. Pavlenko, Y. Rong

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Reducing Attack Effectiveness in Cognitive Radio Networks by Parastoo Razavi, Reza Berangi

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Classification of Artificial Intelligence-Generated Product Reviews on Amazon by Jia-Luen Yang

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A Review on DTC-SVM Method with Back-to-Back Converter Connected to the Permanent Magnet Generator and Comparison with DTC in the Matrix Converter by Alireza Siadatan, Soroush Sadeghbayan, Ebrahim Afjei

“…The possibility of over-voltage matrix converter there on both sides. In some methods, sampling frequency and high frequency is required in others. …”
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A Rice-Mapping Method with Integrated Automatic Generation of Training Samples and Random Forest Classification Using Google Earth Engine by Yuqing Fan, Debao Yuan, Liuya Zhang, Maochen Zhao, Renxu Yang

“…Therefore, this study proposes a rice mapping method (LR) using Google Earth Engine (GEE), which uses Landsat images and integrates automatic generation of training samples and a machine learning algorithm, with the assistance of phenological methods. …”
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Efficient model-and-data based channel estimation algorithm by Kai MEI, Haitao ZHAO, Xiaoran LIU, Jun LIU, Jun XIONG, Baoquan REN, Jibo WEI

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Efficient model-and-data based channel estimation algorithm by Kai MEI, Haitao ZHAO, Xiaoran LIU, Jun LIU, Jun XIONG, Baoquan REN, Jibo WEI

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Detecting Source Code Plagiarism in Student Assignment Submissions Using Clustering Techniques by Raddam Sami Mehsen, Majharoddin M. Kazi, Hiren Joshi

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Prediction and mapping of leaf water content in Populus alba var. pyramidalis using hyperspectral imagery by Zhao-Kui Li, Hong-Li Li, Xue-Wei Gong, Heng-Fang Wang, Guang-You Hao

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Computationally Efficient Design of an LNA Input Matching Network Using Automatic Differentiation by Kiran A. Shila

“…We present a method for the design of an LNA input matching network using automatic differentiation (AD), a technique made popular by machine learning. …”
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Modeling of vibrational processes in planetary vibrodrive with kinematically unbalanced mass by Zakirov R.G.

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Model Predictive Control with Optimal Modelling for Pneumatic Artificial Muscle in Rehabilitation Robotics: Confirmation of Validity Though Preliminary Testing by Dexter Felix Brown, Sheng Quan Xie

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Application of the Random Forest Algorithm for Accurate Bipolar Disorder Classification by Miguel Suárez, Ana M. Torres, Pilar Blasco-Segura, Jorge Mateo

“…The findings suggest that RF is a reliable and accessible method for supporting the diagnosis of BD, complementing traditional clinical practices. …”
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Surface Electromyography Monitoring of Muscle Changes in Male Basketball Players During Isotonic Training by Ziyang Li, Bowen Zhang, Hong Wang, Mohamed Amin Gouda

“…Machine learning methods were employed to perform ten-fold cross-validation and repeated experiments to verify the effectiveness of the features across the different groups. …”
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Using actigraphy to assess sleep characteristics by G. A. Trusov, A. V. Korobeinikova, L. V. Getmantseva, S. Yu. Bakoev, A. N. Lomov, A. A. Keskinov, V. S. Yudin

“…This has led to the development of circadian medicine, which focuses on using knowledge of physiological rhythms to optimize treatment and  diagnostic methods. Our article highlights the  role of  actigraphy, a non-invasive method for assessing sleep-wake cycles, in the study and diagnosis of  sleep. …”
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