Showing 541 - 560 results of 9,830 for search 'Engine machine performance', query time: 0.18s Refine Results
  1. 541

    Academician V.N. Boltinsky’s Scientific article Legacy in Agricultural Engineering Education and Science (Commemorating the 120th Anniversary of the Birth) by M. N. Erokhin, Yu. S. Tsench, D. M. Skorokhodov

    Published 2024-03-01
    “…(Research purpose) The paper aims to shape and consolidate historical, scientific, engineering and technical concepts regarding the establishment and development of scientific and pedagogical institutions focused on the study of tractor engine operation and machine-tractor units in unsteady modes. …”
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    Analysis and Prediction of Grouting Reinforcement Performance of Broken Rock Considering Joint Morphology Characteristics by Guanglin Liang, Linchong Huang, Chengyong Cao

    Published 2025-01-01
    “…Machine learning, recognized as a rapidly advancing field, plays a pivotal role in data-driven engineering applications due to its powerful analytical capabilities. …”
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  14. 554

    Comprehensive evaluation of modern combine harvester performance in Southern Russia by M. E. Chaplygin, E. V. Zhalnin

    Published 2024-06-01
    “…The specific engine power per unit of throughput also varies, ranging from 24.0 to 38.4 horsepower. …”
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    Recursive feature elimination for summer wheat leaf area index using ensemble algorithm-based modeling: The case of central Highland of Ethiopia by Dereje Biru, Berhan Gessesse, Gebeyehu Abebe

    Published 2025-06-01
    “…However, building a high-performance predictive model faces challenges in selecting suitable machine learning algorithms and identifying important variables. …”
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    Article
  17. 557

    Genetic algorithm optimization of ensemble learning approach for improved land cover and land use mapping: Application to Talassemtane National Park by Ali Azedou, Aouatif Amine, Isaya Kisekka, Said Lahssini

    Published 2025-08-01
    “…Multiple Machine Learning (ML) classifiers including Random Forest (RF), Support Vector Machines (SVM), Naive Bayes (NB), Classification and Regression Tree (CART), Minimum Distance (MinD), and Gradient Tree Boost (GTB), and a Grid Search (GS)-optimized ensemble-were evaluated. …”
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