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Development of an Improved Rapidly Exploring Random Trees Algorithm for Static Obstacle Avoidance in Autonomous Vehicles. [PDF]
Sensors (Basel), 2021 Safe path planning for obstacle avoidance in autonomous vehicles has been developed. Based on the Rapidly Exploring Random Trees (RRT) algorithm, an improved algorithm integrating path pruning, smoothing, and optimization with geometric collision ...
Yang SM, Lin YA.
europepmc +2 more sources
Coronary Artery Disease Diagnosis; Ranking the Significant Features Using a Random Trees Model. [PDF]
Int J Environ Res Public Health, 2020 Heart disease is one of the most common diseases in middle-aged citizens. Among the vast number of heart diseases, coronary artery disease (CAD) is considered as a common cardiovascular disease with a high death rate. The most popular tool for diagnosing
Joloudari JH +8 more
europepmc +3 more sources
Tree limits and limits of random trees [PDF]
Combinatorics, Probability and Computing, 2020 We explore the tree limits recently defined by Elek and Tardos. In particular, we find tree limits for many classes of random trees. We give general theorems for three classes of conditional Galton–Watson trees and simply generated trees, for split ...
S. Janson
semanticscholar +7 more sources
Random walks on random trees [PDF]
Journal of the Australian Mathematical Society, 1973 Let T denote one of the nn−2 trees with n labelled nodes that is rooted at a given node x (see [6] or [8] as a general reference on trees). If i and j are any two nodes of T, we write i ∼ j if they are joined by an edge in T. We want to consider random walks on T; we assume that when we are at a node i of degree d the probability that we proceed to ...
J. W. Moon
openalex +3 more sources
Optimal Prefetching in Random Trees [PDF]
Mathematics, 2021 We propose and analyze a model for optimizing the prefetching of documents, in the situation where the connection between documents is discovered progressively.
Kausthub Keshava +2 more
doaj +3 more sources
Predicting the Pillar Stability of Underground Mines with Random Trees and C4.5 Decision Trees
Applied Sciences, 2020 Predicting pillar stability in underground mines is a critical problem because the instability of the pillar can cause large-scale collapse hazards. To predict the pillar stability for underground coal and stone mines, two new models (random tree and C4 ...
Mahmood Ahmad +5 more
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Random ultrametric trees and applications* [PDF]
ESAIM: Proceedings and Surveys, 2017 Ultrametric trees are trees whose leaves lie at the same distance from the root. They are used to model the genealogy of a population of particles co-existing at the same point in time.
Lambert Amaury
doaj +4 more sources
Rooted trees and moments of large sparse random matrices [PDF]
Discrete Mathematics & Theoretical Computer Science, 2003 In these expository paper we describe the role of the rooted trees as a base for convenient tools in studies ofrandom matrices. Regarding the Wigner ensemble of random matrices, we represent main ingredients ofthis approach.
Oleksiy Khorunzhiy
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optRF: Optimising random forest stability by determining the optimal number of trees [PDF]
BMC BioinformaticsMachine learning is frequently used to make decisions based on big data. Among these techniques, random forest is particularly prominent. Although random forest is known to have many advantages, one aspect that is often overseen is that it is a non ...
Thomas M. Lange +3 more
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Multi-Goal Path Planning Using Multiple Random Trees [PDF]
IEEE Robotics and Automation Letters, 2021 In this letter, we propose a novel sampling-based planner for multi-goal path planning among obstacles, where the objective is to visit predefined target locations while minimizing the travel costs.
Jaroslav Janoš +2 more
semanticscholar +1 more source