Zobrazeno 1 - 10
of 417
pro vyhledávání: '"grey wolf optimizer (gwo)"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)
Abstract Human motion classification is gaining more interest among researchers, and it is significant in various applications. Human motion classification and assessment play a significant role in health science and security. Technology-based human
Externí odkaz:
https://doaj.org/article/aabba390309744098a0fec1008702cda
Publikováno v:
Measurement Science Review, Vol 24, Iss 3, Pp 95-99 (2024)
Underwater Wireless Sensor Networks (UWSNs) are established by Autonomous Underwater Vehicles (AUVs) or static Sensor Nodes (SN) that collect and transmit information over the underwater environment. Localization plays a vital role in the effective d
Externí odkaz:
https://doaj.org/article/6629f465c5a04445bddd837827a931cd
Autor:
Hasan Başak
Publikováno v:
Engineering Science and Technology, an International Journal, Vol 56, Iss , Pp 101765- (2024)
Vehicle suspension systems have become increasingly crucial for both driving safety and comfort. Active suspension systems can dynamically adjust suspension characteristics in real-time by introducing force into the system. Designing a controller for
Externí odkaz:
https://doaj.org/article/a4f3b1d145c746c0b80ce775f5191818
Autor:
F. Titel, M. Belattar
Publikováno v:
Radioengineering, Vol 32, Iss 4, Pp 492-501 (2023)
Non-orthogonal multiple access technique (NOMA) is based on the principle of sharing the same physical resource, over several power levels, where user’s signals are transmitted by using the superposition-coding scheme at the transmitter and these u
Externí odkaz:
https://doaj.org/article/e08d848edbff4497b3b8469c750e7edf
Publikováno v:
Energies, Vol 17, Iss 18, p 4539 (2024)
This work proposes an intelligent grey-wolf-optimizer-improved Apriori algorithm (GWO-Apriori) to mine the association rules of hidden dangers in hydrogen pipeline transmission stations. The optimal minimum support and minimum confidence are determin
Externí odkaz:
https://doaj.org/article/207a2fdc92184efe8a510f60e367a4c6
Autor:
Ali Nouh Mabdeh, Rajendran Shobha Ajin, Seyed Vahid Razavi-Termeh, Mohammad Ahmadlou, A’kif Al-Fugara
Publikováno v:
Remote Sensing, Vol 16, Iss 14, p 2595 (2024)
Flooding is a recurrent hazard occurring worldwide, resulting in severe losses. The preparation of a flood susceptibility map is a non-structural approach to flood management before its occurrence. With recent advances in artificial intelligence, ach
Externí odkaz:
https://doaj.org/article/243728b3677e4e2588ff3117df94018e
Publikováno v:
IEEE Access, Vol 11, Pp 74865-74897 (2023)
Since Grey Wolf Optimizer (GWO) first introduction, it continues to be used extensively today, owing to its simplicity, easy handling, and applicability to a wide range of problems. Although there are many different GWO variants in the literature, th
Externí odkaz:
https://doaj.org/article/620d4a548211499c8491241a60c386a1
Publikováno v:
Journal of Soft Computing in Civil Engineering, Vol 6, Iss 4, Pp 1-42 (2022)
Although the exploitation of GWO advances sharply, it has limitations for continuous implementing exploration. On the other hand, the EHO algorithm easily has shown its capability to prevent local optima. For hybridization and by considering the adva
Externí odkaz:
https://doaj.org/article/04275661c8fd422fb07b8e62d1c51d72
Autor:
Ritipong Wongkhuenkaew, Sansanee Auephanwiriyakul, Marasri Chaiworawitkul, Nipon Theera-Umpon, Uklid Yeesarapat
Publikováno v:
Bioengineering, Vol 11, Iss 3, p 254 (2024)
Three-dimensional registration with the affine transform is one of the most important steps in 3D reconstruction. In this paper, the modified grey wolf optimizer with behavior considerations and dimensional learning (BCDL-GWO) algorithm as a registra
Externí odkaz:
https://doaj.org/article/65744b99be2c4c57aa1abdf110fca4d7
Autor:
Mónica Camas-Náfate, Alberto Coronado-Mendoza, Carlos Vargas-Salgado, Jesús Águila-León, David Alfonso-Solar
Publikováno v:
Energies, Vol 17, Iss 4, p 822 (2024)
In recent years, the modeling and simulation of lithium-ion batteries have garnered attention due to the rising demand for reliable energy storage. Accurate charge cycle predictions are fundamental for optimizing battery performance and lifespan. Thi
Externí odkaz:
https://doaj.org/article/aced27b37d1c49aa8708a407eb2927be