In this paper, we consider the problem of mobile-robot path planning. We present features of the potential fields method, which allows constructing a near-optimal trajectory of movement in an environment with obstacles. The working environment of a mobile robot is described by a weighted graph. ...
Graph-theory-based analysis has become a powerful and popular approach for analyzing brain imaging data, largely because of its potential to quantitatively illuminate the networks, the static architecture in structure and function, the organization of dynamic behavior over time, and disease related ...
Firstly, the process planning problem, considering the selection of machining resources, operations sequence optimization and the manufacturing constraints, is mapped to a weighted graph and is converted to a constraint-based traveling salesman problem. The operation sets for each manufacturing features ...
16 established a "Graph Query by Example” system, automatically finds the weighted hidden maximum query graph based on the input query tuple to obtain the user's query intent. Then, the top approximate matching answer graph and answer tuple can be effectively found and arranged. However, the ...
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gaospecial/ggVennDiagram: A 'ggplot2' implement of Venn Diagram. Python: konstantint/matplotlib-venn: Area-weighted venn-diagrams for Python/matplotlib Julia: JuliaPlots/VennEuler.jl: Venn/Euler Diagrams for Julia 2.5. GLM bambinos/bambi: BAyesian Model-Building Interface (Bambi) in Python. 3....
More in detail, given an undirected and edge-weighted graph G=(V,E,P), where P⊆E×E represents the set of conflict edge pairs, MSTC consists of finding a minimum spanning tree of G with no edges in conflict. In the following, we denote by n and m the cardinality of the vertex...
Two types of TSPs have been considered: the randomly weighted TSP, for which the weights of the edges are randomly chosen, and the Euclidean TSP, for which the vertices belong to the Euclidean plane and where the weights of the edges are given by the Euclidean distances between the vertices...
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- 《International Journal of Machine Learning & Cybernetics》 被引量: 0发表: 2024年 WGCAN: A Weighted Graph Convolutional Adversarial Network for Open-Set Machinery Fault Diagnosis Recent advancements in unsupervised domain adaptation (UDA)-based rotating machinery fault diagnosis have been notable. ...