Zobrazeno 1 - 10
of 1 646
pro vyhledávání: '"Fuzzy inference systems"'
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 102853- (2024)
Accurate prediction of corrosion rates is crucial for preventing infrastructure failures, reducing maintenance costs, and ensuring operational safety. Traditional models often struggle to account for the complex, non-linear interactions between envir
Externí odkaz:
https://doaj.org/article/fabbcb9c38e54699ac16f9a6b5c96ac9
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 28, Iss , Pp 101289- (2024)
Canada, with a substantial contribution from the personal transport sector, is a major per capita greenhouse gas emitter. This study advocates a sustainable 3-echelon transportation system, integrating Public Transit (PuT) and demand-responsive trans
Externí odkaz:
https://doaj.org/article/74fda572209e47ef970296e1dc41e2c5
Autor:
Tae-Wan Kim, Keun-Chang Kwak
Publikováno v:
IEEE Access, Vol 12, Pp 171743-171752 (2024)
This paper proposes a novel method to enhance classification performance and the reduction of high-dimensional feature maps by fusing deep learning with adaptive neuro-fuzzy network (ANFN). Although deep learning can be used to generate input data as
Externí odkaz:
https://doaj.org/article/854cf7d1902a44a6acc5578f8861588f
Autor:
M.I. Dieste-Velasco
Publikováno v:
Alexandria Engineering Journal, Vol 95, Iss , Pp 376-393 (2024)
Fault detection in analog circuits is of great importance to predict the correct operation of the circuit. For this purpose, soft computing techniques such as those based on the application of fuzzy inference systems stand out. However, given the lar
Externí odkaz:
https://doaj.org/article/586b900f33ee409d80ccced1e71d9b48
Autor:
Khalaf, Ali Hussein a, Lin, Bing a, ⁎⁎, Abdalla, Ahmed N. b, Han, Zhongzhi c, Xiao, Ying a, Tang, Junlei a, d, ⁎
Publikováno v:
In Results in Engineering December 2024 24
Publikováno v:
Global Energy Interconnection, Vol 6, Iss 6, Pp 726-737 (2023)
Renewable energy has garnered attention due to the need for sustainable energy sources. Wind power has emerged as an alternative that has contributed to the transition towards cleaner energy. As the importance of wind energy grows, it can be crucial
Externí odkaz:
https://doaj.org/article/9d626124a2ac402fa919d94c776c1baf
Autor:
Daniel Iheanacho Udunwa, Okechukwu Dominic Onukwuli, Simeon Chukwudozie Nwanonenyi, Chinyere Blessing Ezekannagha
Publikováno v:
Applied Surface Science Advances, Vol 19, Iss , Pp 100578- (2024)
The anti-corrosion effectiveness of novel 1‑butyl‑3-methylimidazolium tetrachloroindate ionic liquid ([C4MIM][InCl4] (IL)) for aluminum-silicon-titanium (Al-Si-Ti) based aluminum alloy in 1mole (M) potassium hydroxide (KOH) electrolyte at 303–3
Externí odkaz:
https://doaj.org/article/bf37a21976434ddc8ba870891e8fac02
Publikováno v:
Energies, Vol 17, Iss 10, p 2288 (2024)
Energy management strategies play a crucial role in enhancing the fuel efficiency of hybrid electric vehicles (HEVs) and mitigating greenhouse gas emissions. For the current commonly used time horizon optimization methods that only target the trend c
Externí odkaz:
https://doaj.org/article/587e232cb8054f379aacc74cb904c27b
Publikováno v:
Mathematics, Vol 12, Iss 8, p 1167 (2024)
In this paper, we present a multilevel fuzzy inference model for predicting the risk of type 2 diabetes. We have designed a system for predicting this risk by taking into account various factors such as physical, behavioral, and environmental paramet
Externí odkaz:
https://doaj.org/article/d25c57d6e11b4c8fa995efc583360e77
Autor:
Luís Roberto Almeida Gabriel Filho, Fernando Rodrigues de Amorim, Camila Pires Cremasco, Márcio Presumido Júnior, Sandra Cristina de Oliveira
Publikováno v:
Revista Ciência Agronômica, Vol 55 (2023)
ABSTRACT Brazil is a benchmark in sugarcane production, with the state of São Paulo standing out as the largest Brazilian producer. However, for sugarcane suppliers and mills to sustain this activity, there is a need to improve productivity per hect
Externí odkaz:
https://doaj.org/article/e839a9b2eb01434f8e5916711687ad85