Zobrazeno 1 - 10
of 3 225
pro vyhledávání: '"Pathfinding"'
Autor:
BADER, ELEANOR J., BRANT, MICHAELA, BEZUNEH, HELEN, GIBBS, JULES, CONNIFF, RUTH, LEANZA, EMILIO, LUEDERS, BILL, NICHOLS, JOHN, RAMPELL, ED, Robinson, Betsy, Stockwell, Norman, ZIRIN, DAVE
Publikováno v:
Progressive. Dec2023/Jan2024, Vol. 87 Issue 6, p56-64. 9p. 13 Color Photographs.
Autor:
Kate Brown Requist, Moe Momayez
Publikováno v:
Mining, Vol 4, Iss 2, Pp 429-446 (2024)
Pathfinding algorithms allow for the numerical determination of optimal paths of travel across many applications. These algorithms remain poorly defined for additional consideration of outside parameters, such as fluid flow, while considering contami
Externí odkaz:
https://doaj.org/article/41ea081a47824d77a7bd433235d899d7
Autor:
Daniel Hoops, Robert Kyne, Samer Salameh, Del MacGowan, Radu Gabriel Avramescu, Elise Ewing, Alina Tao He, Taylor Orsini, Anais Durand, Christina Popescu, Janet Mengyi Zhao, Kelcie Shatz, LiPing Li, Quinn Carroll, Guofa Liu, Matthew J Paul, Cecilia Flores
Publikováno v:
eLife, Vol 12 (2024)
Dopamine axons are the only axons known to grow during adolescence. Here, using rodent models, we examined how two proteins, Netrin-1 and its receptor, UNC5C, guide dopamine axons toward the prefrontal cortex and shape behaviour. We demonstrate in mi
Externí odkaz:
https://doaj.org/article/86587e46c6e34f8c8079be3966e2510a
Autor:
Ravindrakumar Ramya, Chikkate Ramakrishnappa Venkatesh, Baragur Venkatanarayanasetty Shyamala
Publikováno v:
BMC Research Notes, Vol 17, Iss 1, Pp 1-10 (2024)
Abstract Objective Neurotransmitters have been extensively studied as neural communication molecules. Genetic associations discovered, and indirect intervention studies in Humans and mammals have led to a general proposition that neurotransmitters ha
Externí odkaz:
https://doaj.org/article/52e99fc7ac224b0ba2ce7c7aa35f7264
Autor:
Jean-Marc Alkazzi, Keisuke Okumura
Publikováno v:
IEEE Access, Vol 12, Pp 57390-57409 (2024)
This review paper provides an in-depth analysis of the latest advancements in applying Machine Learning (ML) to solve the Multi-Agent Path Finding (MAPF) problem. The MAPF problem is about finding collision-free paths for multiple agents to travel fr
Externí odkaz:
https://doaj.org/article/17a6a98690f640939084280774f88613
Autor:
Sugier Jarosław
Publikováno v:
Transport and Telecommunication, Vol 24, Iss 4, Pp 349-360 (2023)
The subject of this paper is the AvatarTraffic simulator – a computer system capable of modelling in real time environments such as subway stations or airport halls populated with tens or hundreds of moving figures, which, in addition to pedestrian
Externí odkaz:
https://doaj.org/article/7957aa3e15d848fa978e6058f77ff59f
Autor:
Luchao Kui, Xianwen Yu
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 7, p 251 (2024)
Pathfinding for autonomous vehicles in large-scale complex terrain environments is difficult when aiming to balance efficiency and quality. To solve the problem, this paper proposes Hierarchical Path-Finding A* based on Multi-Scale Rectangle, called
Externí odkaz:
https://doaj.org/article/52b62b8fbd734856a2e9fb3c614293d8