Suggested Topics within your search.
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Determining Cotton Production Techniques and Input Uses in Agricultural Farms: The Case of Antalya Province
Published 2016-05-01“…This study was aimed to examine the cotton production techniques and determined of input use in the cotton production. The primary data used in research was obtained from 94 cotton-growing farms by surveying method in the Antalya province. …”
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Teacher target language input and young learners’ aural comprehension of English
Published 2021-10-01“…The quantity of target language input available to learners contributes to the understanding of target language development. …”
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Teacher target language input and young learners’ aural comprehension of English
Published 2025-01-01“… The quantity of target language input available to learners contributes to the understanding of target language development. …”
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INPUT USE AND FACTORS AFFECTING IN POTATO FARMING IN TÜRKİYE
Published 2023-01-01“…The potato was a product that uses a high level of input. In this respect, more conscious use of inputs and policies that guide farmers to modern information sources were considered important in terms of sustainability.…”
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AN ANALYSIS OF ENERGY USE AND INPUT COSTS FOR RADISH PRODUCTION IN TURKEY
Published 2023-01-01“…The lowest input was belong to Harvest and Packaging with 0.03%. …”
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The Use of Emergency Components as Input Information Signals for Microprocessor Protection
Published 2024-04-01“…A technique is proposed for the formation of emergency components of current and voltage of a power transmission line by a computational experiment in the MATLAB-Simulink dynamic simulating system (DSS) in order to use them as input information signals of additional stages of microprocessor protections with increased sensitivity. …”
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Improving predictions of the Estimate at Completion using the classic Earned Value input
Published 2024-12-01Get full text
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Use of New Methods to Determine the Inputs Effective in Estimating Soil Temperature
Published 2022-09-01“…Two main component analysis (PCA) and gamma (GT) tests were used for pre-processing data and input data. According to the results, for Tabriz station, 3 input variables were selected by gamma test. …”
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Flood Simulation in South Carolina Watersheds Using Different Precipitation Inputs
Published 2018-01-01“…We found that the latter two precipitation inputs that consider spatial representation of rainfall yielded similar performance and improved simulated streamflow as compared to simulation using rainfall observed at individual meteorological gauges. …”
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Automated Input Variable Selection for Analog Methods Using Genetic Algorithms
Published 2024-04-01“…In a broader context, GAs could be used to perform input variable selection in other data‐driven methods, opening perspectives for a broad range of applications.…”
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Multiple Input Delays Estimation Using an Artificial Bee Colony Algorithm
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DECREASE IN LABOR INPUT OF PRODUCTION DUE TO RATIONAL USE OF A MANPOWER
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Investigation of the COBIT Framework Input/Output Relationships by Using Graph Metrics
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Symmetric single-input eccentric tube robot (ETR) for manual use
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An algorithm to generate correlated input-parameters to be used in probabilistic sensitivity analyses
Published 2021-01-01“…Probabilistic sensitivity analysis (PSA) estimates uncertainty by varying all input parameters simultaneously within predefined ranges; however, PSA often ignores correlations between parameters. …”
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Detecting Defects in Sequential Inputs to Digital Twins Using Machine Learning
Published 2024-01-01“…The novelties in this article include using machine learning to validate DT inputs, and performing this validation on sequential data in real time to protect modeled results. …”
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Computationally Efficient Design of an LNA Input Matching Network Using Automatic Differentiation
Published 2025-01-01“…We present a method for the design of an LNA input matching network using automatic differentiation (AD), a technique made popular by machine learning. …”
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Restoration of multi-channel signal loss using autoencoder with recursive input strategy
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Forecasting particulate matter concentration using nonlinear autoregression with exogenous input model
Published 2022-10-01“…This paper presents the development of PM10 forecasting model using nonlinear autoregressive with exogenous input model.METHODS: To improve performance of nonlinear autoregressive with exogenous input model, principal component analysis is used prior to the model for variable selection. …”
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