„Computer Modelling.“
Suchergebnisse
7.065 Treffer
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Ensemble machine learning approaches for estimating soil texture components in loess soils of Golestan Province
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Magnetic properties of agricultural soils and their relationships with environmental factors in Jinghong, Yunnan, China
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Modelling urban heat island effects: a global analysis of 216 cities using machine learning techniques
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Machine learning-based predictive modelling of mental health in Rwandan Youth
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Geomorphological evolution of small watershed on the Chinese Loess Plateau based on slope shape spectra
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SME crisis management and performance: leveraging algorithm supported induction to unravel complexity
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Scene point cloud classification based on stacked ensemble learning algorithm
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A refined hybrid method for 3D quaternary geological modeling and its application in coastal deposits
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Towards fair AI: a review of bias and fairness in machine intelligence
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MSAFNet: a multi-scale data fusion-based drought recognition method for three-dimensional images of the soybean plant
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A deep learning approach for reconstructing hourly surface air temperature in Qinghai for the period 2006-2015
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Quantitative structure activity relationships – QSAR ; including molecular modelling and applications of computer graphics in pharmacology, chemistry, and biology
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FSO mathematical modelling and optimization base track to train communication under the atmospheric weather forecast conditions
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Predicting groundwater levels in coastal aquifers using deep learning models: a comparative study of sedimentary and metamorphic aquifers in nova scotia
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Sequence-to-sequence and meta LSTM techniques enhanced by remote sensing for advanced evapotranspiration estimation
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EC-SBM synthetic network generator
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STFF-UNet: a spatio-temporal feature fusion UNet model for short-term precipitation forecasting
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Improved generative adversarial network with bald eagle search optimization for missing data imputation
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Fractional order modelling of Wolbachia-carrying mosquito population dynamics for dengue control
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A modelling approach for estimating energy consumption of NoSQL-based storage systems