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CALCULATION OF THERMODYNAMIC FUNCTIONS OF UNIDIMENSIONAL LATTICE MODEL BY MATRIX-METHOD .3. ADSORPTION FROM BINARY GAS-MIXTURECALCULATION OF THERMODYNAMIC FUNCTIONS OF UNIDIMENSIONAL LATTICE MODEL BY MATRIX-METHOD .3
Mathematical Modeling of the Hot Steam-Water Mixture Flow in an Injection WellMathematical Modeling of the Hot Steam-Water Mixture Flow in an Injection Well
On the distribution function of the geomagnetic field intensity according to the model of a giant Gaussian process and empirical data VADM in the model of the Giant Gaussian Process (GGP). The predictions of this model are compared, up
Cardiac Arrhythmia Disorders Detection with Deep Learning ModelsCardiac Arrhythmia Disorders Detection with Deep Learning Models
Primordial features and Planck polarization and polarization. WWI model provides more than 13 improvement in χ2 fit to the data with respect to the best fit
A Novel Approach for Analyzing the Effects of Almen Intensity on the Residual Stress and Hardness of Shot-Peened (TiB + TiC)/Ti–6Al–4V Composite: Deep Learning modeled via the deep neural network. The values of the TiB + TiC content, Almen intensity, and depth from
Dynamical systems approach to outlier robust deep neural networks for regression. Assuming a Gaussian (input-dependent) ground truth distribution contaminated with a proportion ϵ
DeepFrag: a deep convolutional neural network for fragment-based lead optimizationDeepFrag is a machine-learning model designed to assist with lead optimization. It recommends
Developing a computer system for student learning based on vision-language models and can significantly improve student learning. The development and implementation of deep learning
ON DEEP LEARNING for OPTION PRICING in LOCAL VOLATILITY MODELS are assumed to be fixed. An approximation to option price in local volatility model is obtained via deep
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