Discrete Element Method-Based Stratified Soil Modeling to Improve the Precision of Soil–Machine Interaction Simulations by Baoer Hao, Xuejie Ma, Lixin Wang, Xin Tong

“…The results demonstrate that integrating the JKR and Bonding contact models provides an effective framework for simulating soil–machine interactions and establishes a robust numerical parameter basis for optimizing agricultural machinery design and soil management practices.…”
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Device of identification of parameters of the three-phase asynchronous motor by A. J. Afanasiev, V. G. Makarov, Y. A. Yakovlev, V. N. Khannanova

Subjects: “…identification of parameters…”
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Design and Experiment of a Vertical Cotton Stalk Crushing and Returning Machine with Large and Small Dual-Blade Discs by Xiaohu Guo, Bin Li, Yang Liu, Shiguo Wang, Zhong Tang, Yuncheng Dong, Xiangxin Liu

“…The optimal working parameters were determined to be machine forward speed of 3.5 m/s, crushing blade shaft speed of 1500 r/min, and blade tip ground clearance of 60 mm. …”
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NUMERICAL CONTROL MILLING PARAMETER OPTIMIZATION ON THE BASIS OF IMPROVED GENETIC ALGORITHM by YAN ShengLi, FU Hui, LI Hao

“…Numerical control machining is widely used in traditional manufacturing industry and national defense strategic industry, and optimization of milling parameters is closely related to processing efficiency, quality and cost. …”
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Effects of Input Parameters on the Hole Quality During the Drilling of Al Metal Matrix Composites by Alokesh Pramanik, Animesh Kumar Basak

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Retrieving Inland Water Quality Parameters via Satellite Remote Sensing: Sensor Evaluation, Atmospheric Correction, and Machine Learning Approaches by Mohsen Ansari, Anders Knudby, Meisam Amani, Michael Sawada

Subjects: “…inland water quality parameters…”
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EXPERIMENTAL IMPACT ASSESSMENT OF PARAMETERS PERTAINING TO BLANK TWO-DIMENSIONAL CIRCULAR MOTION ON INTENSITY OF ITS CUTTING AND QUALITY OF MACHINED SURFACE by M. G. Kiselev, A. V. Drozdov, S. G. Monich, D. A. Yamnaya

“…The purpose of the paper is to make an experimental impact assessment of parameters pertaining to blank two-dimensional circular blank motion on intensity of its cutting and quality of the machined surfaces. …”
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Investigation of the influence of the parameters of a hydropneumatic accumulator on the operation of the device for controlling the position of a cylindrical brush of a communal machine by Tsekhosh S.I., Zhuravskiy B.V., Sherbakov V.S.

“…The article is devoted to the actual problem of improving the quality of cleaning roads and sidewalks by communal machines with brush working equipment. One of the main parameters of the working process of a communal machine with brush working equipment, which determines the cleaning efficiency and brush life, is the brush pressing force against the surface to be cleaned. …”

Development of hybrid stacking machine learning for evaluating parameters affecting refrigerated shrimp coated with chitosan-loaded Salvia officinalis nanoemulsions by Mehran Sayadi, Elahe Abedi, Najmeh Oliyaei, Maryam Mousavifard

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Estimating gait parameters from sEMG signals using machine learning techniques under different power capacity of muscle by Shing-Hong Liu, Alok Kumar Sharma, Bo-Yan Wu, Xin Zhu, Chun-Ju Chang, Jia-Jung Wang

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Improved TLBO algorithm for optimal energy management in a hybrid microgrid with support vector machine-based forecasting of uncertain parameters by Raji Krishna, S. Hemamalini

“…However, the uncertain nature of power from the RES like solar and wind, utility price, and load demand, necessitates accurate forecasting of the uncertain parameters (UP) to improve the reliability of the hybrid microgrid. …”
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Printing parameters optimization assisted by machine learning and sintering behavior of binder jetting 3D printed 2024Al alloy by Yuhang Qian, Xia Luo, Qianlong Wei, Bensheng Huang, Zhou Fan, Ruo Huang, Liang Zhang, Kurapova Olga Yu, Vladimir Gennadievich Konakov

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A multi-strategy improved snake optimizer and its application to SVM parameter selection by Hong Lu, Hongxiang Zhan, Tinghua Wang

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Assessment of reliability of the road construction machines working in tropical conditions by Zorin V.A., Le Trong Tuan

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Optimasi Parameter Permesinan Terhadap Tingkat Kekasaran Permukaan Aluminium Proses Pembubutan Dengan Metode Taguchi by Diki Ismail Permana, Yayat Yayat

Subjects: “…machining parameters, taguchi methods, surface roughness…”
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Optimization of technical productivity of a bulldozer unit in terms of traction and speed parameter by I. Р. Troyanovskaya, О. A. Grebenshchikova

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The modified theoretical model for debris flows predication with multiple rainfall characteristic parameters by Shengdong Cai, Zizhao Zhang, Xiaolong Yang, Qianli Lv, Xinyu Liu, Runsen Lai, Xikun Yu, Yang Hu

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Older people and stroke: a machine learning approach to personalize the rehabilitation of gait by Elvira Maranesi, Federico Barbarossa, Leonardo Biscetti, Marco Benadduci, Elisa Casoni, Ilaria Barboni, Fabrizia Lattanzio, Lorenzo Fantechi, Daniela Fornarelli, Enrico Paci, Sara Mecozzi, Manuela Sallei, Mirko Giannoni, Giuseppe Pelliccioni, Giovanni Renato Riccardi, Valentina Di Donna, Roberta Bevilacqua

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Further observations on the security of Speck32-like ciphers using machine learning by Zezhou Hou, Jiongjiong Ren, Shaozhen Chen

Subjects: “…Machine learning…”
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Integrating experimental and theoretical approaches for enhanced machine learning modeling of solar radiation by Nader Ghareeb, Abeer Alanazi, Ahmad Sedaghat, Mohamad Hussein Farhat, Arash Mehdizadeh, Hayder Salem, Mohammad Nazififard, Ali Mostafaeipour

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