Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Tarek A. El-Mihoub"'
Publikováno v:
Journal of Marine Science and Engineering, Vol 10, Iss 1, p 7 (2021)
In this study, a set of different search strategies for locating submarine groundwater discharge (SGD) are investigated. This set includes pre-defined path planning (PPP), adapted random walk (RW), particle swarm optimisation (PSO), inertia Levy-flig
Externí odkaz:
https://doaj.org/article/ddceb2f5d04f4978b67dceb1d0ff77d7
Publikováno v:
ECMS 2022 Proceedings edited by Ibrahim A. Hameed, Agus Hasan, Saleh Abdel-Afou Alaliyat.
A large number of algorithms has been proposed for solving continuous optimisation problems. However, there is limited theoretical understanding of the strengths and weaknesses of most algorithms and their individual applicability. Furthermore, the p
Publikováno v:
ECMS 2022 Proceedings edited by Ibrahim A. Hameed, Agus Hasan, Saleh Abdel-Afou Alaliyat.
In this paper, the concept of optimized bumblebee (BB) patterns as a search strategy for autonomous underwater vehicles (AUV) is presented. Here, an AUV is used to detect submarine groundwater discharge (SGD) in coastal areas. The optimization of the
Autor:
Amal M. Durou, Ibrahim A. Aref, Suleiman Erateb, Tarek A. El-Mihoub, Tarik Ghalut, Adel Saad Emhemmed
Publikováno v:
2022 IEEE 2nd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA).
Publikováno v:
2022 IEEE 2nd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA).
Publikováno v:
Artificial Intelligence XXXIX ISBN: 9783031214400
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8e3f10710b15aad6233bb17a1277afd
https://doi.org/10.1007/978-3-031-21441-7_20
https://doi.org/10.1007/978-3-031-21441-7_20
Publikováno v:
Mendel, Vol 26, Iss 2 (2020)
Mendel. 2020 vol. 26, č. 2, s. 1-8. ISSN 1803-3814
Mendel. 2020 vol. 26, č. 2, s. 1-8. ISSN 1803-3814
Localisation errors have a great impact on Autonomous Underwater Vehicles (AUVs) as search agents. Different approaches for solving the localisation problem can be used and combined together for greater accuracy in estimating AUVs’ locations. The e
Publikováno v:
Global Oceans 2020: Singapore – U.S. Gulf Coast.
A swarm of Autonomous Underwater Vehicles (AUVs) can cooperate for better utilization of the search resources. Through sharing search information, AUVs can locate a search target with an acceptable accuracy. The localization problem has a great impac
Autor:
Robin Rofallski, Lars Nolle, Tarek A. El-Mihoub, Christoph Tholen, Iain Parnum, Oliver Zielinski
Publikováno v:
Global Oceans 2020: Singapore – U.S. Gulf Coast.
In this paper, a low-cost, multi-sensor platform designed to investigate the spatial distribution of water quality properties is presented. The platform is based on an off-the-shelf underwater vehicle and various environmental sensors. Its intended a
Publikováno v:
Global Oceans 2020: Singapore – U.S. Gulf Coast.
Autonomous Underwater Vehicles (AUVs) rely on sensor measurements to locate a search target. The sensor measurements are prone to different sources of noise. Noise in measuring and estimating the location of an AUV causes localization errors. These e