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Optimal Investment with a Noisy Signal of Future Stock Prices
We consider an investor who is dynamically informed about the future evolution of one of the independent Brownian motions driving a stock’s price...
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Peridynamic Modeling of Visco-Hyperelastic Deformation
This chapter presents the PD modeling of viscoelastic materials in the presence of finite deformation. It employs the PD correspondence model for the... -
Determining the Accuracy for Fuzzy Logic Technology Foresight Model
A method for checking the accuracy of prognostic models in the absence of experimental data for comparing the modeling results is presented. The...
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Neural Predictors’ Sensitivity and Robustness
The results of the application of deep neural predictors depend on a multitude of factors which compose the experimental settings. We report all the... -
Notes on AdS \(_4\) Holography and Higher-Derivative Supergravity
I summarize recent results on higher-derivative conformal supergravity which find important applications in AdS/CFT and black hole physics. In... -
Mathematical Modeling of Climate Change Impact on Relationships of Economic Sectors*
The authors have developed a mathematical model to determine the conditions whereby the rate of increase of greenhouse gas (GHG) concentrations in...
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Forecasting the proportion of stored energy using the unit Burr XII quantile autoregressive moving average model
This paper defines the unit Burr XII autoregressive moving average (UBXII-ARMA) model for continuous random variables in the unit interval, where any...
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Access Control Method for EV Charging Stations Based on State Aggregation and Q-Learning
This paper presents intelligent access control for a charging station and a framework for dynamically and adaptively managing charging requests from...
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A Review and Case Study of Neural Network Techniques for Automated Generation of High Level-of-Detail 3D City Models
The growing interest in creating digital twins of cities has sparked a surge in the development of detailed 3D models. In this paper we examine the... -
Bargaining, Reference Points, and Limited Influence
We study the emergence of reference points in a bilateral, infinite horizon, alternating offers bargaining game. Players’ preferences exhibit...
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Numerical Modeling and Some Optimal Control Problems of Dynamic Systems Describing Contact Problems with Friction in Elasticity
The purpose of the article is to make use of difference equations to solve the dynamic visco-elastic contact problems with friction. First of all, we... -
Solving Environmental Problems According to the Concept of Sustainable Development of the Earth
The scientific foundation for the development and implementation of automated control systems (ACS) in the USSR are discussed and the results...
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Ibn al-Zarqālluh’s discovery of the annual equation of the Moon
Ibn al-Zarqālluh (al-Andalus, d. 1100) introduced a new inequality in the longitudinal motion of the Moon into Ptolemy’s lunar model with the...
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Numerical Analysis of Mercury’s Perihelion Shift
The perihelion shift of Mercury’s orbit is thought to be one of the fundamental tests of the validity of the General Theory of Relativity (Foster and... -
An Algorithm for Improved Proportional-Fair Utility for Vehicular Users
The Proportional Fair (PF) scheduler currently implemented in cellular networks is optimal when the channel conditions are stationary. Using... -
An Approach to Stochastic Dynamic Games with Asymmetric Information and Hidden Actions
We consider in discrete time, a general class of sequential stochastic dynamic games with asymmetric information with the following features. The...
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Scalability Evaluation of the CFD Solver CODA on the AMD Naples Architecture
Computational fluid dynamics (CFD) simulations are an increasingly important part of aircraft design. They allow in-depth insight into the... -
Specific Features of the Angular Distribution of Electromagnetic Radiation of the Kerr Black Hole
By analyzing algebraically special solutions of the Maxwell equations in the Kerr space-time, we obtain the exact expressions for the polarization...
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Distribution-free algorithms for predictive stochastic programming in the presence of streaming data
This paper studies a fusion of concepts from stochastic programming and non-parametric statistical learning in which data is available in the form of...
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Benefits of short-term photovoltaic power production forecasting to the power system
The impact of intermittent power production by Photovoltaic (PV) systems to the overall power system operation is constantly increasing and so is the...