Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Firefly algorithm (FFA)"'
Publikováno v:
Engineering Access, Vol 10, Iss 2, Pp 143-153 (2024)
The inclusion of renewable energy sources (RES) into electricity grids raises numerous concerns. Designing interconnected power networks with minimal frequency variations and tie-line power fluctuations has become a top priority. Due to the intermitt
Externí odkaz:
https://doaj.org/article/1dafe86576a64714a4900213e02e5a63
Publikováno v:
AIMS Energy, Vol 12, Iss 1, Pp 62-83 (2024)
This study was conducted for six cities in southern Algeria, where the accuracy of three models—support vector machines (SVM), artificial neural networks (ANN) and a novel hybrid firefly algorithm-based model (FFA-ANN)—were investigated when esti
Externí odkaz:
https://doaj.org/article/aecf6c7bb1c34ea6b855550a06fd883d
Autor:
Sachan, Shailu ⁎, Swarnkar, Pankaj
Publikováno v:
In Results in Control and Optimization June 2023 11
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2022, Iss 1, Pp 1-23 (2022)
Abstract Monitoring various Fish Species and its distribution of the species obtains a primary significance in receiving the insights to marine ecological-system. After this, visual classification of those species would aid in tracing out the movemen
Externí odkaz:
https://doaj.org/article/251adb4f194e40e886ef1017e064ef18
Autor:
Shailu Sachan, Pankaj Swarnkar
Publikováno v:
Results in Control and Optimization, Vol 11, Iss , Pp 100232- (2023)
With technical advances in robotics and technology, mobile robots (MRs) have become more significant in medical applications that require great subtlety, accuracy and efficiency. MRs are primarily time-varying and nonlinear systems that require intel
Externí odkaz:
https://doaj.org/article/1ff689c186b644e880cd907c7fa0ac80
Autor:
Yamina Aoulmi, Nadir Marouf, Mohamed Amireche, Ozgur Kisi, Raed M. Shubair, Behrooz Keshtegar
Publikováno v:
IEEE Access, Vol 9, Pp 92500-92515 (2021)
Developing trustworthy rainfall-runoff (R-R) models can offer serviceable information for planning and managing water resources. Use of artificial neural network (ANN) in adopting such models and predicting changes in runoff has become popular among
Externí odkaz:
https://doaj.org/article/4da1e7d12f1c4139b2e277b41e338f48
Akademický článek
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Autor:
Farajdadian, Shahriar, Hosseini, S.M.Hassan ∗
Publikováno v:
In International Journal of Hydrogen Energy 4 October 2019 44(47):25457-25472
Autor:
Deo, Ravinesh C. a, ∗, Ghorbani, Mohammad Ali b, c, Samadianfard, Saeed b, Maraseni, Tek d, Bilgili, Mehmet e, Biazar, Mustafa b
Publikováno v:
In Renewable Energy February 2018 116 Part A:309-323
Publikováno v:
In Advanced Engineering Informatics October 2017 34:80-89