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161
Prediction of Soil Moisture-Holding Capacity with Support Vector Machines in Dry Subhumid Tropics
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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162
Development of a new yarn supply for weft knitting machines to produce innovative knitwear
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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163
Credit Risk Evaluation with a Least Squares Fuzzy Support Vector Machines Classifier
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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164
REHABILITATION / MODERNIZATION WORKS RELATED TO M4b DEPOSIT COAL REMOVAL MACHINES
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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165
Comparative Study of Dual-Rotor Permanent Magnet Machines with Series and Parallel Magnetic Circuits
Published 2024-12-01Subjects: Get full text
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166
River Flow Estimation from Upstream Flow Records Using Support Vector Machines
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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167
A multi-feature fusion exercise recommendation model based on knowledge tracing machines
Published 2024-09-01Subjects: Get full text
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168
CONTROL OVER «BRUSH-COMMUTATOR» SPARKING IN DC MACHINES USING OPTOELECTRONIC SPARKING ANALYZER
Published 2005-12-01Get full text
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169
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170
Minds vs machines: A comparative study of AI and teacher-generated summaries in ELT
Published 2025-01-01Get full text
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171
Semi-Online Scheduling on Two Machines with GoS Levels and Partial Information of Processing Time
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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172
Les « tracteurs du président » au Tchad : machines agricoles ou instrument politique ?
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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173
Direct Interval Prediction of Landslide Displacements Using Least Squares Support Vector Machines
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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174
Intelligent Fault Diagnosis of Machines Based on Adaptive Transfer Density Peaks Search Clustering
Published 2021-01-01Get full text
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175
Design and Control of Hybrid Electric Light Rail Vehicles With Open Ended Winding Machines
Published 2024-01-01Subjects: “…Open ended winding machines…”
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176
DECREASE OF BREAKAGE OF HIGH-STRENGTH WIRE AT METAL CORD TWIST ON MACHINES OF DOUBLE TORSION
Published 2012-11-01Get full text
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177
New Findings From Explainable SYM‐H Forecasting Using Gradient Boosting Machines
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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178
Application of Support Vector Machines for Estimating Wall Parameters in Through-Wall Radar Imaging
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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179
Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis
Published 2025-01-01Get full text
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180