Topological Progress Potential-Enhanced Continuous-Space Ant Colony Algorithm for Robot Path Planning [PDF]
SensorsTo address the issues of traditional grid-based Ant Colony Optimization path planning in discretized continuous space—including limited direction freedom, lack of global topological guidance, and difficulty in balancing path smoothness and safety margin ...
Guikun Dong +5 more
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Tone Mapping of HDR Images via Meta-Guided Bayesian Optimization and Virtual Diffraction Modeling [PDF]
SensorsThis paper proposes a novel image tone-mapping framework that incorporates meta-learning, a psychophysical model, Bayesian optimization, and light-field virtual diffraction.
Deju Huang +8 more
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Probabilistic analysis of vantage point trees
Modern Stochastics: Theory and Applications, 2021 Probabilistic properties of vantage point trees are studied. A vp-tree built from a sequence of independent identically distributed points in ${[-1,\hspace{0.1667em}1]^{d}}$ with the ${\ell _{\infty }}$-distance function is considered.
Vladyslav Bohun
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Quantitative estimate of the overdamped limit for the Vlasov–Fokker–Planck systems
Partial Differential Equations in Applied Mathematics, 2021 This note adapts a probabilistic approach to establish a quantified estimate of the overdamped limit for the Vlasov–Fokker–Planck equation towards the aggregation–diffusion equation, which in particular includes cases of the Newtonian type singular ...
Hui Huang
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MB-RRT: An Inverse Kinematics Solver of Reduced Dimension
IEEE Access, 2021 The evolution of manipulator robots has increased the complexity of their models and applications, requiring that the inverse kinematics (IK) methods integrated into their control systems to have features such as fast convergence, completeness, low ...
Matheus C. Santos +5 more
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IEEE Access, 2023 Extended target tracking estimates the centroid and shape of the target in space and time. In various situations where extended target tracking is applicable, the presence of multiple targets can lead to interference, particularly when they maneuver ...
Behzad Akbari +3 more
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I-convergence in probabilistic n-normed space
Soft Computing, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tripathy, Binod Chandra +2 more
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A Hybrid Probabilistic-Neutrosophic Adaptive Convergence Model for Analyzing Innovative Performance of Agricultural Technology Enterprises in the Digital Economy [PDF]
Neutrosophic Sets and SystemsThis paper introduces a novel mathematical framework that integrates hybrid probabilistic-neutrosophic logic with adaptive rough ideal statistical convergence (AR-I st) to model and analyze the dynamic performance of innovative agricultural technology ...
Hongyan Xie
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QIACO: A Quantum Dynamic Cost Ant System for Query Optimization in Distributed Database
IEEE Access, 2021 Query optimization is considered as the most significant part in a model of distributed database. The optimizer tries to find an optimal join order, which reduces the query execution cost. Several factors may affect the cost of query execution, including
Sayed A. Mohsin +2 more
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Statistical Convergence of Double Sequences on Probabilistic Normed Spaces [PDF]
International Journal of Mathematics and Mathematical Sciences, 2007 The concept of statistical convergence was presented by Steinhaus in 1951. This concept was extended to the double sequences by Mursaleen and Edely in 2003. Karakus has recently introduced the concept of statistical convergence of ordinary (single) sequence on probabilistic normed spaces.
Karakuş, Sevda, Demirci, Kamil
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