Search Results - (( variable affecting systematic algorithm ) OR ( java interactive learning algorithm ))
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Teaching and learning via chatbots with immersive and machine learning capabilities
Published 2019“…These chatbots support learning of Java via problem-solving steps through “learning by doing”. …”
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Mathematical simulation for 3-dimensional temperature visualization on open source-based grid computing platform
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Diagnostic power of resting-state fMRI for detection of network connectivity in Alzheimer's disease and mild cognitive impairment: a systematic review
Published 2021“…Multimodal support vector machine (SVM) algorithm was the commonest form of ML method utilized. …”
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Improvement on rooftop classification of worldview-3 imagery using object-based image analysis
Published 2019“…According to the previous study, the types of different roof materials and roof surface conditions that affected by aging and weathering effects, contribute to the spectral response variability of these features. …”
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Empirical analysis and optimization suggestions of Peking Opera audience's use intention of Kuaishou app
Published 2026“…To verify the validity of the integrated "UTAUT2-SOR" model constructed in the previous study and reveal the influencing mechanisms of Peking Opera audiences' intention to use Kuaishou APP, this paper adopted the questionnaire survey method (N=516) and Structural Equation Modeling (SEM) to systematically test the functional relationships among external stimulus factors, mediating variables and moderating variables. …”
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A review of the inter-correlation of climate change, air pollution and urban sustainability using novel machine learning algorithms and spatial information science
Published 2021“…Air pollution is a global geo-hazard with significant implications, including deterioration of health and premature death. Climatic variables such as temperature, rainfall, wind, and humidity impact air pollution by affecting the strength, transportation, and dispersion of pollutants in the atmosphere. …”
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A NEW APPROACH IN EMPIRICAL MODELLING OF CO2 CORROSION WITH THE PRESENCE OF HAc AND H2S
Published 2011“…The interaction between those factors affect the accuracy of the corrosion prediction. …”
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A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings
Published 2015“…The accuracy of ANN based forecast model is found to be dependent on number of parameters such as forecast model architecture, input combination, activation functions and training algorithm of the network and other exogenous variables affecting on forecast model inputs. …”
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