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Minimum local distance density estimation [PDF]
Communications in Statistics - Theory and Methods, 2016 We present a local density estimator based on first order statistics. To estimate the density at a point, $x$, the original sample is divided into subsets and the average minimum sample distance to $x$ over all such subsets is used to define the density estimate at $x$. The tuning parameter is thus the number of subsets instead of the typical bandwidth
Tenorio, Luis +2 more
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Equilibrium clusters in suspensions of colloids interacting via potentials with a local minimum [PDF]
Condensed Matter Physics, 2016 In simple colloidal suspensions, clusters are various multimers that result from colloid self-association and exist in equilibrium with monomers. There are two types of potentials that are known to produce clusters: a) potentials that result from the ...
A. Baumketner, W. Cai
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Integrating Conflict Driven Clause Learning to Local Search [PDF]
Electronic Proceedings in Theoretical Computer Science, 2009 This article introduces SatHyS (SAT HYbrid Solver), a novel hybrid approach for propositional satisfiability. It combines local search and conflict driven clause learning (CDCL) scheme. Each time the local search part reaches a local minimum, the CDCL is
Gilles Audenard +3 more
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Ship Collision Avoidance Path Planning Based on Dynamic Domain Potential Field
水下无人系统学报, 2023 In view of the limitations of traditional artificial potential field collision avoidance path planning in terms of collision avoidance distance and collision avoidance opportunity, a dynamic ship collision avoidance path planning method based on an ...
Shuo SUN +3 more
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Frontiers in Plant Science, 2023 In orchard scenes, the complex terrain environment will affect the operational safety of mowing robots. For this reason, this paper proposes an improved local path planning algorithm for an artificial potential field, which introduces the scope of an ...
Wenyu Zhang +9 more
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PAtCH: Proactive Approach to Circumvent Holes in Wireless Sensor Networks
Sensors, 2023 The occurrence of hole regions in Wireless Sensor Networks is a significant challenge when applying a greedy technique in a geographic routing approach.
Moyses M. Lima +3 more
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An Aeromagnetic Compensation Algorithm Based on Radial Basis Function Artificial Neural Network
Applied Sciences, 2022 Aeromagnetic exploration is a magnetic exploration method that detects changes of the earth’s magnetic field by loading a magnetometer on an aircraft.
Shuai Zhou +4 more
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RRT*-Fuzzy Dynamic Window Approach (RRT*-FDWA) for Collision-Free Path Planning
Applied Sciences, 2023 Path planning is an important aspect and component in the research of mobile-robot-related technologies. Many path planning algorithms are only applicable to static environments, while in practical tasks, the uncertainty in dynamic environments increases
Lintao Zhou +4 more
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Fourth-order elliptic problems with critical nonlinearities by a sublinear perturbation
Nonlinear Analysis, 2021 In this paper, we get the existence of two positive solutions for a fourth-order problem with Navier boundary condition. Our nonlinearity has a critical growth, and the method is a local minimum theorem obtained by Bonanno.
Lin Li, Donal O’Regan
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Energies, 2021 Mobile robots in industry are commonly used in warehouses and factories. To achieve the highest production rate, requirements for path planning algorithms have caused researchers to pay significant attention to this problem.
Rafal Szczepanski +2 more
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