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Predicting the Pillar Stability of Underground Mines with Random Trees and C4.5 Decision Trees [PDF]
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
doaj +3 more sources
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
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
Path Planning for Manipulation Using Experience-Driven Random Trees [PDF]
IEEE Robotics and Automation Letters, 2021 Robotic systems may frequently come across similar manipulation planning problems that result in similar motion plans. Instead of planning each problem from scratch, it is preferable to leverage previously computed motion plans, i.e., experiences, to ...
Éric Pairet +3 more
semanticscholar +1 more source
Universal height and width bounds for random trees [PDF]
Electronic Journal of Probability, 2021 We prove non-asymptotic stretched exponential tail bounds on the height of a randomly sampled node in a random combinatorial tree, which we use to prove bounds on the heights and widths of random trees from a variety of models.
L. Addario-Berry +3 more
semanticscholar +1 more source
Stochastic rumors on random trees [PDF]
Journal of Statistical Mechanics: Theory and Experiment, 2021 The Maki–Thompson rumor model is defined by assuming that a population represented by a graph is subdivided into three classes of individuals; namely, ignorants, spreaders and stiflers.
V. V. Junior +2 more
semanticscholar +1 more source
Agriculture, 2023 Unmanned aerial vehicles (UAV) are a suitable solution for monitoring growing cultures due to the possibility of covering a large area and the necessity of periodic monitoring.
G. G. R. D. Castro +6 more
semanticscholar +1 more source
On random trees and forests [PDF]
ESAIM: Proceedings and Surveys, 2023 The first talk at the session Random trees and random forests “Journée MAS” (27/08/2021) was presented by I. Kortchemski. After a general up-to-date introduction to local and scaling limits of Bienaymé trees (which are discrete branching trees), he ...
Contat Alice +4 more
doaj +1 more source
Optimal randomized classification trees [PDF]
Computers & Operations Research, 2021 This research has been financed in part by research projects EC H2020 MSCA RISE NeEDS (Grant agreement ID: 822214), FQM-329 and P18-FR-2369 (Junta de Andaluc\'ia), and PID2019-110886RB-I00 (Ministerio de Ciencia, Innovaci\'on y Universidades, Spain).
Blanquero, Rafael +3 more
openaire +3 more sources