Showing 5,121 - 5,140 results of 7,394 for search 'parameter machine', query time: 0.11s Refine Results
  1. 5121

    Study on the Interactions Process of Coupled Model of Furrow Opener–Soil–Pot Seedling Based on Discrete Approach by Bin Jiang, Jinping Cai, Xiongfei Chen, Junan Liu, Liping Xiao, Jinlong Lin, Yuqiang Chen

    Published 2025-05-01
    “…The coupled model provides technical support for the design and parameter optimization of rice planting equipment.…”
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    Article
  2. 5122

    A genetic programming approach with adaptive region detection to skin cancer image classification by Kunjie Yu, Jintao Lian, Ying Bi, Jing Liang, Bing Xue, Mengjie Zhang

    Published 2024-12-01
    “…In recent years, the development of computer vision and machine learning has provided new methods for assisted diagnosis. …”
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    Article
  3. 5123

    STIMULATION OF REPARATION IN A LINEAR WOUND MODEL IN RATS BY BISCHOFIT GEL by Yu. V. Stepenko, V. O. Soldatov, M. A. Zatolokina, A. V. Mayorova, B. B. Sysuev, A. N. Demidenko, E. N. Ivahno, M. V. Sarycheva, M. V. Pokrovskiy

    Published 2019-03-01
    “…Actovegin showed less influence on this parameter (12.60 N), and the use of Contractubex led to its decrease (8.10 N). …”
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    Article
  4. 5124

    Enhanced Crop Leaf Area Index Estimation via Random Forest Regression: Bayesian Optimization and Feature Selection Approach by Jun Zhang, Jinpeng Cheng, Cuiping Liu, Qiang Wu, Shuping Xiong, Hao Yang, Shenglong Chang, Yuanyuan Fu, Mohan Yang, Shiyu Zhang, Guijun Yang, Xinming Ma

    Published 2024-10-01
    “…While integrating machine learning algorithms with spectral variables has improved LAI estimation over large areas, excessive input parameters can lead to data redundancy and reduced generalizability across different crop species. …”
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    Article
  5. 5125
  6. 5126

    Estimating Winter Wheat Canopy Chlorophyll Content Through the Integration of Unmanned Aerial Vehicle Spectral and Textural Insights by Huiling Miao, Rui Zhang, Zhenghua Song, Qingrui Chang

    Published 2025-01-01
    “…Chlorophyll content is an essential parameter for evaluating the growth condition of winter wheat, and its accurate monitoring through remote sensing is of great significance for early warnings about winter wheat growth. …”
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    Article
  7. 5127

    Prediction of geological and engineering integrated sweet spots of deep coalbed methane by Zhengrong CHEN, Wei LIU, Xueshen ZHU, Yongjing TIAN, Xin XIE

    Published 2025-06-01
    “…Based on the rock strength parameter, the enlargement rate of wellbore diameter, and the fracture toughness of rocks, a natural fissure index model was constructed. …”
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    Article
  8. 5128

    Research on prediction of bottom hole flowing pressure for vertical coalbed methane wells based on improved SSA-BPNN by YU Yang, DONG Yintao, LI Yunbo, BAO Yu, ZHANG Lixia, SUN Hao

    Published 2025-04-01
    “…Five routinely measured parameters that influence flowing bottom hole pressure were selected as the input parameters for the prediction model, with corresponding bottom hole pressure values as the output parameters. …”
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    Article
  9. 5129

    Design of a Mechanized Road Sweeper by Asiimwe Dianah

    Published 2023
    “…The researcher, however, recommended that the fabrication of the machine needs to be done based on the individual part parameters developed in this thesis and performance testing of the machine to embrace the new technology for effective sweeping process.…”
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    Thesis
  10. 5130
  11. 5131

    An optimal federated learning-based intrusion detection for IoT environment by A. Karunamurthy, K. Vijayan, Pravin R. Kshirsagar, Kuan Tak Tan

    Published 2025-03-01
    “…However, these traditional procedures mainly focus on training the machine learning model through specific data and parameters. …”
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    Article
  12. 5132

    基于VERICUT非圆齿轮磨齿虚拟加工研究 by 李建刚, 俞春华, 王琳, 谷鹏, 李泽湘

    Published 2010-01-01
    “…The virtual noncircular gear grinding NC machine tool is set up in VERICUT.Based on the principle of noncircular gear grinding by forming grinder,the movement data is calculated and G-code is compiled.The machine tool model is built up in VERICUT,the qualified controller is choosed and the corresponding parameters is set.The simulation of noncircular gear grinding is carried out in VERICUT,and detailed analysis and discussion of the interference of virtual machining is given,and solutions is provied to these problems.Through this virtual machine tool,the correctness of the theory of noncircular gear grinding is verified and a reliable basis is provied for the actual machining.…”
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    Article
  13. 5133

    Analysis of features of implementing a “Port scanning” attack using a “Zombie” computer by N. V. Boldyrikhin, M. V. Karpenko, I. A. Sosnovsky, E. A. Yadrets

    Published 2024-07-01
    “…Theoretical aspects related to the implementation of a “port scanning” attack using a “zombie” computer are analyzed. The parameters by which a “zombie” machine is selected on the network are indicated. …”
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    Article
  14. 5134

    Theoretical studies results for a mathematical model of a road roller turn by M. N. Artemenko, P. A. Korchagin, I. A. Teterina

    Published 2022-06-01
    “…As a result of the developed mathematical model, a program code was built in the MATLAB software product, which formed the basis of theoretical studies that made it possible to fully study the influence of the design and operational parameters of the machine on the motion trajectory and positioning accuracy.Results. …”
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    Article
  15. 5135

    MODEL AND EXPERIMENT OF THE HYSTERIS CHARACTERISTICS ON MAGNETORHEOLOGICAL DAMPING LATHE TOOL by ZHANG YongLiang, GU Tao, PAN JianJian

    Published 2016-01-01
    “…Based on the theory of nonlinear hysteresis and combined with the data decomposition and parameter identification,the nonlinear elastic force、damping parameter、the hysteresis stiffness and hysteretic restoration force are calculated. …”
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    Article
  16. 5136

    THE ENERGY MINIMIZATION AND THE COST REQUIREMENTS FOR THE POTATO RESIDUES REPROCESSING by Tarek FOUDA, F. A. AHMED, M. A. ALI

    Published 2016-01-01
    “…To optimize the operating parameters of the performance of farm residues it was used the cutting machine and it was established the minimum cost, power and energy requirements for produce animal feed raw materials from potato haulme. …”
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    Article
  17. 5137

    Methodology of Using CAx and Digital Twin Methods in the Development of a Multifunctional Portal Centre in Its Pre-Production Phase by Petr Bernardin, Zdenek Hajicek, Petr Janda, Josef Kozak, Frantisek Sedlacek, Vaclava Lasova, Jiri Kubicek

    Published 2025-03-01
    “…The aforementioned methodology was used to obtain and verify the final dimensions of the developed machine centre, which were the expected results. The proposed dimensions were verified in this way in terms of the mechanical properties of the designed machine (stiffness, strength, and modal properties), in terms of the suitability for machining the specific part, and in terms of the moved masses and drive parameters.…”
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    Article
  18. 5138

    Optimized Application of CGA-SVM in Tight Reservoir Horizontal Well Production Prediction by Chao Wang, Ruogu Wang, Yuhan Lin, Jiafei Zhang, Xiaofei Xie, Zidan Zhao, Yunlin Xu

    Published 2025-01-01
    “…Compared with traditional support vector machine, BP neural network, KNN and naive Bayes, the improved support vector machine has a higher prediction accuracy, and the average error is only 2.7%. …”
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    Article
  19. 5139

    A Next-generation Exoplanet Atmospheric Retrieval Framework for Transmission Spectroscopy (NEXOTRANS): Comparative Characterization for WASP-39 b Using JWST NIRISS, NIRSpec PRISM,... by Tonmoy Deka, Tasneem Basra Khan, Swastik Dewan, Priyankush Ghosh, Debayan Das, Liton Majumdar

    Published 2025-01-01
    “…Accurate analysis of these data sets requires advanced retrieval frameworks capable of navigating complex parameter spaces. We present NEXOTRANS , an atmospheric retrieval framework that integrates Bayesian inference using UltraNest / PyMultiNest with four machine learning algorithms: Random Forest , Gradient Boosting , K-Nearest Neighbor , and Stacking Regressor . …”
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    Article
  20. 5140