Showing 161 - 180 results of 10,454 for search '"machines"', query time: 0.08s Refine Results
  1. 161

    Prediction of Soil Moisture-Holding Capacity with Support Vector Machines in Dry Subhumid Tropics by Jacob Kaingo, Siza D. Tumbo, Nganga I. Kihupi, Boniface P. Mbilinyi

    Published 2018-01-01
    “…This study explored the support vector machines method in the development of PTFs (SVR-PTFs) for dry subhumid tropics. …”
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    Article
  2. 162

    Development of a new yarn supply for weft knitting machines to produce innovative knitwear by Prisca Holderied, Thomas Mutschler, Solveig Tresp, Julia Klausmann, Lisa Streitenberger, Marie-Ange Bueno, Marcus O. Weber

    Published 2023-02-01
    “…The results show that the technology on the circular knitting machine produces good quality knitted fabrics. On the flat knitting machine, however, further research and development are needed to validate the technology. …”
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    Article
  3. 163

    Credit Risk Evaluation with a Least Squares Fuzzy Support Vector Machines Classifier by Lean Yu

    Published 2014-01-01
    “…A least squares fuzzy support vector machine (LS-FSVM) model that integrates advantages of fuzzy support vector machine (FSVM) and least squares method is proposed for credit risk evaluation. …”
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    Article
  4. 164

    REHABILITATION / MODERNIZATION WORKS RELATED TO M4b DEPOSIT COAL REMOVAL MACHINES by Alin STĂNCIOIU

    Published 2022-05-01
    “…The paper presents the study for the rehabilitation / modernization works related to the coal removal machine from the M4b depot being destined to unload the solid fuel depots, the technological role being to take the solid fuel from the stacks and to deposit it on a belt conveyor.…”
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    Article
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    River Flow Estimation from Upstream Flow Records Using Support Vector Machines by Halil Karahan, Serdar Iplikci, Mutlu Yasar, Gurhan Gurarslan

    Published 2014-01-01
    “…A novel architecture for flood routing model has been proposed and its efficiency is validated on several problems by employing support vector machines. The architecture is designed by including the inputs and observed and calculated outflows from the previous time step output. …”
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    Semi-Online Scheduling on Two Machines with GoS Levels and Partial Information of Processing Time by Taibo Luo, Yinfeng Xu

    Published 2014-01-01
    “…This paper investigates semi-online scheduling problems on two parallel machines under a grade of service (GoS) provision subject to minimize the makespan. …”
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  12. 172

    Les « tracteurs du président » au Tchad : machines agricoles ou instrument politique ? by Ronan Mugelé

    Published 2023-10-01
    “…It shows how the material and technical dimension of the machine is deeply linked to its immaterial and symbolic component, and how this articulation redefines its uses.…”
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  13. 173

    Direct Interval Prediction of Landslide Displacements Using Least Squares Support Vector Machines by Yankun Wang, Huiming Tang, Tao Wen, Junwei Ma

    Published 2020-01-01
    “…In this paper, under the framework of the original lower upper bound estimation method, a direct interval prediction approach is proposed for landslide displacements based on the least squares support vector machine (LSSVM) and differential search algorithms. …”
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    New Findings From Explainable SYM‐H Forecasting Using Gradient Boosting Machines by Daniel Iong, Yang Chen, Gabor Toth, Shasha Zou, Tuija Pulkkinen, Jiaen Ren, Enrico Camporeale, Tamas Gombosi

    Published 2022-08-01
    “…Abstract In this work, we develop gradient boosting machines (GBMs) for forecasting the SYM‐H index multiple hours ahead using different combinations of solar wind and interplanetary magnetic field (IMF) parameters, derived parameters, and past SYM‐H values. …”
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  18. 178

    Application of Support Vector Machines for Estimating Wall Parameters in Through-Wall Radar Imaging by Hua-Mei Zhang, Ye-Rong Zhang, Fang-Fang Wang, Jun-Lin An

    Published 2015-01-01
    “…To quickly and accurately estimate the wall parameters, an approach based on a support vector machine (SVM) is proposed. In TWRI problem, the nonlinearity is embodied in the relationship between backscatter data and the wall parameters, which can be obtained through the SVM training process. …”
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