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New Variant of the Fermionic Model on the Hierarchical Two-Dimensional Lattice consider the non-Gaussian model in which the Gaussian part is given by the self-similar field and non-Gaussian

Detection of cardiac arrhythmia based on the analysis of electrocardiogram using deep learning models of different types of cardiac rhythm. We propose an electrocardiogram classifier model, which is an ensemble

REMAINING USEFUL LIFE PREDICTION FOR LITHIUM-ION BATTERIES USING FRACTIONAL BROWNIAN MOTION AND FRUIT-FLY OPTIMIZATION ALGORITHM for Lithium-ion batteries remaining useful life (RUL) prediction. Firstly, the FBM degradation model

Deep learning based fuzzy-MPC controller for satellite combined energy and attitude control system.e., as both energy storage and attitude control device. This maiden work attempts to introduce a novel Deep

Gaussian approximation of distribution of states of the retrial queueing system with r-persistent exclusion of alternative customersGaussian approximation of distribution of states of the retrial queueing system with r

Normal Coordinates in Affine Geometry
much attention due to the construction of generalized gravity models. Under the assumption that all

On one property of martingales with conditionally Gaussian increments and its application in the theory of nonasymptotic inferenceA transformation of a discrete-time martingale with conditionally Gaussian increments into a

Structure–reactivity modeling using mixture-based representation of chemical reactions increases prediction accuracy of the models. The models obtained with new “mixture” approach performed

Bearing capacity and deformation of the base of deep foundations' ground basesArticle shows results of experimental studies of strength of ground bases models of deep

ON TRANSFER LEARNING METHODS IN BIOMEDICAL IMAGES CLASSIFICATION TASKS [О МЕТОДАХ ПЕРЕНОСА ГЛУБОКОГО ОБУЧЕНИЯ В ЗАДАЧАХ КЛАССИФИКАЦИИ БИОМЕДИЦИНСКИХ ИЗОБРАЖЕНИЙ] strategies of transfer learning and fine-tuning of the models are proposed and implemented. Deep

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