Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Imen Châari"'
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 11 (2014)
Path planning is a fundamental optimization problem that is crucial for the navigation of a mobile robot. Among the vast array of optimization approaches, we focus in this paper on Ant Colony Optimization (ACO) and Genetic Algorithms (GA) for solving
Externí odkaz:
https://doaj.org/article/bf57c068c1074341838a86dc7b32f9f2
Autor:
Sonda Kammoun, Mona Rekik, Aryj Dlensi, Samir Aloulou, Walid Smaoui, Sahla Sellami, Khaled Trigui, Rahma Gargouri, Imen Chaari, Hayet Sellami, Dhawia Elatoui, Nahed Khemakhem, Ines Hadrich, Sourour Neji, Balkiss Abdelmoula, Nouha Bouayed Abdelmoula
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 18 (2024)
The interplay between human microbiota and various physiological systems has garnered significant attention in recent years. The gut microbiota plays a critical role in maintaining physiological homeostasis and influences various aspects of human hea
Externí odkaz:
https://doaj.org/article/f0f3dd0802924f3eb3e93429472a93b2
Autor:
Anis Koubaa, Hachemi Bennaceur, Imen Chaari, Sahar Trigui, Adel Ammar, Mohamed-Foued Sriti, Maram Alajlan, Omar Cheikhrouhou, Yasir Javed
This book presents extensive research on two main problems in robotics: the path planning problem and the multi-robot task allocation problem. It is the first book to provide a comprehensive solution for using these techniques in large-scale environm
Autor:
Neila Messedi, Mariem Turki, Rihab Charfi, Sahar Ellouze, Imen Chaari, Lobna Aribi, Najla Halouani, Jihen Aloulou
Publikováno v:
The Egyptian Journal of Neurology, Psychiatry and Neurosurgery, Vol 59, Iss 1, Pp 1-7 (2023)
Abstract Background Gayet–Wernicke's encephalopathy (GWE) is a life-threatening neurological emergency caused by vitamin B1 deficiency. This is a rare complication, which may be reversible if managed promptly. However, any diagnostic or therapeutic
Externí odkaz:
https://doaj.org/article/c44d50b88adc42f89d2a1c669c85576a
Publikováno v:
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Although there exist efficient methods to determine an optimal path in a graph, such as Dijkstra and A* algorithms, large instances of the path planning problem need more adequate and efficient techniques to obtain solutions in reasonable time. We pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0bf9d3272d90d2da551cf329404fe38
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 11 (2014)
International Journal of Advanced Robotic Systems
International Journal of Advanced Robotic Systems
Path planning is a fundamental optimization problem that is crucial for the navigation of a mobile robot. Among the vast array of optimization approaches, we focus in this paper on Ant Colony Optimization (ACO) and Genetic Algorithms (GA) for solving
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c570566014f026ff6f4423d941fd9dd
https://doi.org/10.5772/58543
https://doi.org/10.5772/58543
Autor:
Hachemi Bennaceur, Adel Ammar, Imen Châari, Sahar Trigui, Anis Koubâa, Mohamed Tounsi, Elhadi M. Shakshuki, Habib Youssef
Publikováno v:
ANT/SEIT
This paper investigates the capabilities of tabu search for solving the global path planning problem in grid maps. Accordingly, a tabu search system model is designed and a tabu search planner algorithm for solving the path planning problem is propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6d4095d5d85d96a5b9f4254c6868e30
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 14 (2017)
This article presents the results of the 2-year iroboapp research project that aims at devising path planning algorithms for large grid maps with much faster execution times while tolerating very small slacks with respect to the optimal path. We inve
Externí odkaz:
https://doaj.org/article/04e3161f56e14b21b8d88230aaa42de8