Results 21 to 30 of about 1,150,989 (314)
The paper presents a comparative analysis of the application of two nonlocal gradient-formulated models to evaluate the concrete cover degradation time.
Yurkova Kseniya, Krykowski Tomasz
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Mobility Control of Unmanned Aerial Vehicle as Communication Relay to Optimize Ground-to-Air Uplinks
In recent years, unmanned aerial vehicles (UAVs) have been considered an ideal relay platform for enhancing the communication between ground agents, because they fly at high altitudes and are easy to deploy with strong adaptabilities.
Gaofeng Wu, Xiaoguang Gao, Kaifang Wan
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The Gradient Discretisation Method [PDF]
This monograph is dedicated to the presentation of the gradient discretisation method (GDM) and to some of its applications. It is intended for masters students, researchers and experts in the field of the numerical analysis of partial differential equations.The GDM is a framework which contains classical and recent discretisation schemes for diffusion
Droniou, Jérôme +4 more
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Deep imitation reinforcement learning for self‐driving by vision
Deep reinforcement learning has achieved some remarkable results in self‐driving. There is quite a lot of work to do in the area of autonomous driving with high real‐time requirements because of the inefficiency of reinforcement learning in exploring ...
Qijie Zou +3 more
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This paper presents a novel scalable algorithm, Gradient Population Optimization (GPO), which is specifically designed to optimize cost functions with extremely high dimensionality.
John Persano +2 more
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A weighted stochastic gradient algorithm is proposed for cost‐efficient tracking of unknown, correlated spatial signals from randomly distributed sensor observations in localized wireless sensor field.
Hadi Alasti
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Reliability analysis of open-pit power supply system components
In the field of designing power supply systems of open pits an important role is attributed to the problems of components reliability analysis, which can be solved by integrated application of different analysis methods for individual types of electrical
Roman V. Klyuev
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Adjoint grid parabolic quazilinear boundary-value problems [PDF]
In the paper we construct the adjoint problem for the explicit and implicit parabolic quazi-linear grid boundary-value problems with one spatial variable; the coefficients of the problems depend on the solution at the same time and earlier times ...
Ilya Alexandrovich Chernov +1 more
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ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser +6 more
wiley +1 more source
Efficient 2D adaptive beamforming algorithm based on sparse array optimisation
In this study, a 2D adaptive beamforming algorithm for sparse array is proposed. Firstly, a signal model based on matrix completion theory for adaptive beamforming in sparse array is established, which is proved to satisfy null space property.
Chaoyu Wang +3 more
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