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4721
MODELING OF SYMMETRIC THREE-PHASE ASYNCHRONOUS ELECTRIC MOTOR IN ASYMMETRIC CONNECTION TO NETWORK
Published 2005-06-01“…The paper shows how to solve the problem concerning reveal of changes in mathematical models and electric parameters of symmetric three-phase short-circuited asynchronous electric motors in case of their connection to single- or two-phase network in comparison with their connection to three-phase network. …”
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4722
Development and Validation of a Capacitor–Current Circuit Model for Evaporation-Induced Electricity
Published 2025-01-01Subjects: “…capacitor–current circuit model…”
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4723
Simulation of Mechanical Heart Valve Dysfunction and the Non-Newtonian Blood Model Approach
Published 2022-01-01“…The shear-thinning blood viscosity model is the basics to build the blood, also the blood exhibiting viscoelastic properties. …”
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4724
Integrated Model of Multiple Kernel Learning and Differential Evolution for EUR/USD Trading
Published 2014-01-01“…Initially, the prediction model optimized by MKL predicts the returns based on a technical indicator called the moving average convergence and divergence. …”
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4725
Numerical Modelling Approaches for Assessing Improvements to the Flow Circulation in a Small Lake
Published 2011-01-01“…Modelling and Simulation in Engineering…”
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4726
Applying Fuzzy Multiobjective Integrated Logistics Model to Green Supply Chain Problems
Published 2014-01-01“…The background of this research involves the issue of green supply chain management (GSCM) and the concept of the multiobjective integrated logistics model. More specifically, in this paper, we suggest the fuzzy multiobjective integrated logistics model with the transportation cost and demand fuzziness to solve green supply chain problems in the uncertain environment which is illustrated via the detailed numerical example. …”
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4727
Mathematical Modeling of Marine Oil Spills in the Luanjiakou District, near the Port of Yantai
Published 2018-01-01“…The Euler-Lagrange method is adopted to track the spill location and particles positions on the edge of oil slicks. A mathematical model of marine oil spills is established for the Luanjiakou District of the Port of Yantai. …”
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4728
Skillful prediction of Indian Ocean Dipole index using machine learning models
Published 2025-02-01“…In this study, we evaluated six machine learning models for their skill in predicting the Indian Ocean Dipole (IOD). …”
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4729
Forest fire risk assessment model optimized by stochastic average gradient descent
Published 2025-01-01“…In this study, a comprehensive method for forest fire risk assessment and prediction is proposed using a back-propagation neural network (BPNN) optimized by the stochastic average gradient descent (SAGD) algorithm. The model is based on the Regional Disaster System Theory (RDST), and incorporates 11 indicators of meteorological, vegetation, and human activity factors from the aspects of hazard-formative factor, hazard-formative environment, and hazard-affected body, and achieves a prediction accuracy of 94.38% and a coefficient of determination of 0.9581 when compared with historical data and the Global Fire Weather Index (FWI). …”
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4730
Retracted: Mathematical Modeling Method of the Improved Genetic Algorithm for Random Power Fluctuation
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4731
Global Dynamics and Applications of an Epidemiological Model for Hepatitis C Virus Transmission in China
Published 2015-01-01“…An epidemiological model is proposed and studied to understand the transmission dynamics and prevalence of HCV infection in China. …”
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4732
Tumor organoids in cancer medicine: from model systems to natural compound screening
Published 2025-12-01“…Recent studies utilizing patient-derived organoid models for natural compound screening are highlighted, demonstrating the potential of these models in developing new classes of anticancer agents. …”
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4733
Modeling and 1 : 1 Internal Resonance Analysis of Cable-Stayed Shallow Arches
Published 2020-01-01“…In this paper, an analytical model of a cable-stayed shallow arch is developed in order to investigate the 1 : 1 internal resonance between modes of a cable and a shallow arch. …”
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4734
Burnout in Medical Residents: A Study Based on the Job Demands-Resources Model
Published 2014-01-01“…The purpose of our cross-sectional study was to estimate the burnout rates among medical residents in the largest Greek hospital in 2012 and identify factors associated with it, based on the job demands-resources model (JD-R). Method. Job demands were examined via a 17-item questionnaire assessing 4 characteristics (emotional demands, intellectual demands, workload, and home-work demands’ interface) and job resources were measured via a 14-item questionnaire assessing 4 characteristics (autonomy, opportunities for professional development, support from colleagues, and supervisor’s support). …”
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4735
An Improved Single-Lane Cellular Automaton Model considering Driver’s Radical Feature
Published 2018-01-01“…Traffic flow models are of vital significance to study the traffic system and reproduce typical traffic phenomena. …”
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4736
A Stock Closing Price Prediction Model Based on CNN-BiSLSTM
Published 2021-01-01“…This paper proposes a composite model CNN-BiSLSTM to predict the closing price of the stock. …”
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4737
Predictive Probability Models of Road Traffic Human Deaths with Demographic Factors in Ghana
Published 2022-01-01“…Three generalized linear models, namely, logistic regression, probit regression, and linear probability model, were used for the analysis. …”
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4738
A Fractional-Order Model for HIV Dynamics in a Two-Sex Population
Published 2018-01-01“…The fractional derivative order of the model is in the interval (0,1]. We compute the basic reproduction number and prove the stability of the equilibriums of the model. …”
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4739
Identification of key elements of university brand in brand formation and management existing models
Published 2024-03-01Subjects: Get full text
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4740
Fake Detect: A Deep Learning Ensemble Model for Fake News Detection
Published 2021-01-01“…Due to the nature of the dataset attributes, two deep learning models were used. For the textual attribute “statement,” Bi-LSTM-GRU-dense deep learning model was used, while for the remaining attributes, dense deep learning model was used. …”
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