Results 31 to 40 of about 15,993 (171)

NNIR: N-Non-Intersecting-Routing Algorithm for Multi-Path Resilient Routing in Telecommunications Applications

open access: yesInternational Journal of Computational Intelligence Systems, 2020
In this paper, we will present a N-Non-Intersecting-Routing (NNIR) algorithm which is used to reduce the cost of resilient routing in telecommunications problems.
Lewis Veryard   +4 more
doaj   +1 more source

Optimal distribution of vehicular traffic flow with Dijkstra’s algorithm and Markov chains

open access: yesAfrican Scientific Reports
The optimization of traffic distribution is a critical problem in transportation networks, where efficient routing can reduce congestion, minimize travel time, and improve overall traffic flow.
L. I. Igbinosun, N. R. Udoenoh
doaj   +1 more source

Rapid path planning algorithm for mobile robot in dynamic environment

open access: yesAdvances in Mechanical Engineering, 2017
Searching the lowest-cost path through a graph is central to many problems, including path planning for a mobile robot. By combining Dijkstra’s algorithm, A* algorithm, and rolling window principle, a new rapid path planning algorithm for a mobile robot ...
Hong-mei Zhang, Ming-long Li
doaj   +1 more source

Optimal Path Planning Method for IMU System-Level Calibration Based on Improved Dijkstra’s Algorithm

open access: yesIEEE Access, 2023
The calibration path of system-level calibration directly affects the incentive effect of the error term and thus the calibration accuracy. Currently, the planning of system-level calibration paths is predominantly designed based on personal experience ...
Xuesong Bai   +4 more
doaj   +1 more source

THE USE OF THE ROADLOAD APPLICATION IN GEOGRAPHICAL STUDIES OF FLOWS GENERATED BY INDIVIDUAL MODES OF TRANSPORT [PDF]

open access: yesTransport Problems, 2020
The purpose of this article is to present the authors' own software for predicting changes in the density and directions of traffic flows and to compare overall results of research on transport accessibility with the ...
Marta BOROWSKA-STEFAŃSKA   +3 more
doaj   +1 more source

Making more flexible ATISMART+ model for traffic simulations using a CAS [PDF]

open access: yes, 2015
Traffic simulations usually require the search of a path to join two different points. Dijkstra’s algorithm [1] is one of the most commonly used for this task due to its easiness and quickness.
Aguilera-Venegas, Gabriel   +5 more
core  

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

open access: yesAdvanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi   +2 more
wiley   +1 more source

Path planning algorithm for a car like robot based on Coronoi Diagram Method [PDF]

open access: yes, 2013
The purpose of this study is to develop an efficient offline path planning algorithm that is capable of finding optimal collision-free paths from a starting point to a goal point. The algorithm is based on Voronoi diagram method for the environment
Inun, Haidie
core  

Shortest Distances as Enumeration Problem

open access: yes, 2021
We investigate the single source shortest distance (SSSD) and all pairs shortest distance (APSD) problems as enumeration problems (on unweighted and integer weighted graphs), meaning that the elements $(u, v, d(u, v))$ -- where $u$ and $v$ are vertices ...
Casel, Katrin   +3 more
core  

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

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