Results 31 to 40 of about 636,054 (341)
Applied SciencesThis study introduces a deterministic framework for optimising the path planning of autonomous drill rigs in open-pit mining operations. While prior research has primarily focused on automating drilling mechanics, this study addresses the essential but ...
Masoud Samaei +3 more
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Numerical Integration of locally Peaked Bivariate Functions
Acta Scientiarum: Technology, 2023 The aim of this paper is to compare the relative accuracies between deterministic and stochastic methods for solving bounded integrals numerically to observe which methods tend to function well and converge to a small amount of error based on ...
Abdelhamid Taieb Zaidi
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DETERMINISTIC FACTOR ANALYSIS: METHODS OF INTEGRO-DIFFERENTIATION OF NON-INTEGRAL ORDER
Russian Journal of Economics and Law, 2016 Objective: to summarize the methods of deterministic factor economic analysis, namely the differential calculus and the integral method. Methods: mathematical methods for integro-differentiation of non-integral order, the theory of derivatives and ...
V. V. Tarasova, V. E. Tarasov
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Balancing Accuracy and Efficiency in the Temporal Resampling of Met-Ocean Data
OceansHarmonising heterogeneous met-ocean time series to a common temporal resolution is a prerequisite for integrated marine renewable energy assessments. Such datasets often differ in their sampling frequency, statistical distribution, and non-stationarity ...
Sara Ramos-Marin, C. Guedes Soares
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Comparison of Splitting Methods for Deterministic/Stochastic Gross–Pitaevskii Equation
Mathematical and Computational Applications, 2019 In this paper, we discuss the different splitting approaches to numerically solvethe Gross–Pitaevskii equation (GPE). The models are motivated from spinor Bose–Einsteincondensate (BEC).
Jürgen Geiser, Amirbahador Nasari
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Bayesian Policy Gradients via Alpha Divergence Dropout Inference
, 2011 Policy gradient methods have had great success in solving continuous control tasks, yet the stochastic nature of such problems makes deterministic value estimation difficult.
Henderson, Peter +3 more
core +3 more sources
Denoising Deterministic Time Series [PDF]
, 2006 This paper is concerned with the problem of recovering a finite, deterministic time series from observations that are corrupted by additive, independent noise. A distinctive feature of this problem is that the available data exhibit long-range dependence
Lalley, Steven P., Nobel, Andrew B.
core +3 more sources
Superpixel-based Two-view Deterministic Fitting for Multiple-structure Data
, 2016 This paper proposes a two-view deterministic geometric model fitting method, termed Superpixel-based Deterministic Fitting (SDF), for multiple-structure data.
AS Brahmachari +12 more
core +1 more source
Association of Corticospinal Tract Asymmetry With Ambulatory Ability After Intracerebral Hemorrhage
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background Ambulatory ability after intracerebral hemorrhage (ICH) is important to patients. We tested whether asymmetry between ipsi‐ and contra‐lesional corticospinal tracts (CSTs) assessed by diffusion tensor imaging (DTI) is associated with post‐ICH ambulation.
Yasmin N. Aziz +25 more
wiley +1 more source
Advancing Computational Approaches for Geometry Optimization of Steel Structures
Engineering TransactionsThe primary objective of this study is to develop and assess computational methods for optimizing the geometry of specific building structures modeled through parametric description.
Artur LAX, Sławomir MILEWSKI
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