Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Hisham A. Shehadeh"'
Autor:
Seyed Mostafa Biazar, Hisham A. Shehadeh, Mohammad Ali Ghorbani, Golmar Golmohammadi, Amartya Saha
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Soil temperature is a key meteorological parameter that plays an important role in determining rates of physical, chemical and biological reactions in the soil. Ground temperature can vary substantially under different land cover types and c
Externí odkaz:
https://doaj.org/article/791c9508120b4042acc836d1736ecc4d
Publikováno v:
Automatika, Vol 64, Iss 2, Pp 315-326 (2023)
“Extremely High Frequency (EHF)” and “Very high frequency (VHF)” bands are mainly utilized with “Underwater Wireless Sensor Networks (UWSNs)” for communication purposes. However, due to the mobility of underwater sensors in water because
Externí odkaz:
https://doaj.org/article/bbd0cf8bf53c483ca4841102c5b8c84e
Publikováno v:
IEEE Access, Vol 11, Pp 15588-15622 (2023)
Flying Ad hoc Network (FANET) is a self-organizing wireless network that constitutes swarms of flying nodes, namely Unmanned Aerial Vehicles (UAV), and communicates in close proximity. It has various distinguishing characteristics that set it apart f
Externí odkaz:
https://doaj.org/article/d67a8e1d6b4f411f8d4ec71ee67d72f6
Publikováno v:
Symmetry, Vol 15, Iss 5, p 1073 (2023)
The Rafflesia Optimization Algorithm (ROA) is a new swarm intelligence optimization algorithm inspired by Rafflesia’s biological laws. It has the advantages of high efficiency and fast convergence speed, and it effectively avoids falling into local
Externí odkaz:
https://doaj.org/article/a6f95e3a64684b40a3a139639f1c2d0a
Autor:
Nura Modi Shagari, Mohd Yamani Idna Idris, Rosli Bin Salleh, Ismail Ahmedy, Ghulam Murtaza, Hisham A. Shehadeh
Publikováno v:
IEEE Access, Vol 8, Pp 12232-12252 (2020)
Sensor nodes heterogeneity if not properly utilized could lead to uneven energy consumption and load imbalanced across the network, which degrades the performance of the network. Routing algorithms should try to achieve energy-efficiency and load-bal
Externí odkaz:
https://doaj.org/article/4ea4c3554d494c569482ae65d235f879
Autor:
Hisham A. Shehadeh
Publikováno v:
Neural Computing and Applications. 35:10733-10749
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d4fef5beabd3187b5daf6490bb83864
https://doi.org/10.1007/s00521-023-08261-1
https://doi.org/10.1007/s00521-023-08261-1
Publikováno v:
Neural Computing and Applications. 35:1711-1731
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79a56e21e54f57d51dce2f446feb72c9
https://doi.org/10.1007/s00521-022-07888-w
https://doi.org/10.1007/s00521-022-07888-w
Autor:
Hisham A. Shehadeh, Nura Modi Shagari
Publikováno v:
Handbook of Intelligent Computing and Optimization for Sustainable Development. :487-507
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03ab17eb6d62f22af6284f9195c96bfb
https://doi.org/10.1002/9781119792642.ch24
https://doi.org/10.1002/9781119792642.ch24
Publikováno v:
International Journal of Applied Metaheuristic Computing. 13:1-33
In this paper, we propose a hybrid algorithm combining two different metaheuristic methods, “Genetic Algorithms (GA)” and “Sperm Swarm Optimization (SSO)”, for the global optimization of multimodal benchmarks functions. The proposed Hybrid Ge
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f1a3ed7ee5a1878f95b225cc9e40c2dc
https://doi.org/10.4018/ijamc.292507
https://doi.org/10.4018/ijamc.292507
Autor:
Hisham A. Shehadeh
Publikováno v:
Neural Computing and Applications. 33:11739-11752
This paper proposes a new hybrid optimization algorithm, called “(HSSOGSA)” with the combination of “gravitational search algorithm (GSA)” and “sperm swarm optimization (SSO)”. The underlying concepts and ideas behind the proposed algorit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06263af25043a69aaee3a6bec0989ac8
https://doi.org/10.1007/s00521-021-05880-4
https://doi.org/10.1007/s00521-021-05880-4