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Zhi Quan, Hailong Zhang, Jiyu Luo and Haijun Sun
Signal modulation recognition is often reliant on clustering algorithms. The fuzzy c-means (FCM) algorithm, which is commonly used for such tasks, often converges to local optima. This presents a challenge, particularly in low-signal-to-noise-ratio (SNR)...
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Shiu-Shin Lin, Jheng-Hua Song, Kai-Yang Zhu, Yi-Chuan Liu and Hsien-Cheng Chang
Typhoon intensity forecast is an important issue. The objective of this study is to construct a 5-day 12-hourly typhoon intensity forecast model based on the adaptive neuro-fuzzy inference systems (ANFIS) to improve the typhoon intensity forecast in the ...
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Waqas Ul Hussan, Muhammad Khurram Shahzad, Frank Seidel and Franz Nestmann
The accurate estimate of sediment load is important for management of the river ecosystem, designing of water infrastructures, and planning of reservoir operations. The direct measurement of sediment is the most credible method to estimate the sediments....
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Wendolyn Aguilar-Salinas, Sara Ojeda-Benitez, Samantha E. Cruz-Sotelo and Juan Ramón Castro-Rodríguez
The consumer plays a key role in resource conservation; therefore, it is important to know consumer behavior to identify consumer profiles and to promote pro-environmental practices in society that encourage resource conservation and reductions in waste ...
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P.S. Salini, A. Kedia, S. Dhulipala, Krishna Saw, B.K. Katti
Pág. 2396 - 2407
Trip distribution finds prime place after trip generation in sequential modelling of travel demand to cover the spatial dimensions in a geographical area, to reflect on trip length and frequency. It provides the basis for strategic land use and transport...
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Mario De Luca, Francesco Abbondati, Monica Pirozzi, Daiva ?ilioniene
Pág. 3751 - 3760
Surfaces of airport pavements are subject to the friction decay phenomenon. A recurrent problem for the runways is represented by the deposits of vulcanized rubber of aircraft tires. This happens mainly in the touch-down areas during landing operations, ...
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Mohammad Zounemat-Kermani and Miklas Scholz
An adaptive neuro-fuzzy inference system (ANFIS) was developed using the subtractive clustering technique to study the air demand in low-level outlet works. The ANFIS model was employed to calculate vent air discharge in different gate openings for an em...
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