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Barbara Cardone, Ferdinando Di Martino and Vittorio Miraglia
Hot and cold spot identification is a spatial analysis technique used in various issues to identify regions where a specific phenomenon is either strongly or poorly concentrated or sensed. Many hot/cold spot detection techniques are proposed in literatur...
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Woo-Joo Lee, Hyo-Jin Jhang, Seung Hoe Choi
Pág. 169 - 178
This study aims to find variables that affect the winning rate of the football team before a match. Qualitative variables such as venue, match importance, performance, and atmosphere of both teams are suggested to predict the outcome. Regression analysis...
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Zhou-Yi Lim, Lee-Yeng Ong and Meng-Chew Leow
Online roadshow is a relatively new concept that has higher flexibility and scalability compared to the physical roadshow. This is because online roadshow is accessible through digital devices anywhere and anytime. In a physical roadshow, organizations c...
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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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Rana Muhammad Adnan, Zhongmin Liang, Xiaohui Yuan, Ozgur Kisi, Muhammad Akhlaq and Binquan Li
Accurate predictions of wind speed and wind energy are essential in renewable energy planning and management. This study was carried out to test the accuracy of two different neuro fuzzy techniques (neuro fuzzy system with grid partition (NF-GP) and neur...
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Hussein ALKasasbeh, Irina Perfilieva, Muhammad Zaini Ahmad and Zainor Ridzuan Yahya
In this research, three approximation methods are used in the new generalized uniform fuzzy partition to solve the system of differential equations (SODEs) based on fuzzy transform (FzT). New representations of basic functions are proposed based on the n...
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Hussein ALKasasbeh, Irina Perfilieva, Muhammad Zaini Ahmad and Zainor Ridzuan Yahya
In this paper, new approximation methods for solving systems of ordinary differential equations (SODEs) by fuzzy transform (FzT) are introduced and discussed. In particular, we propose two modified numerical schemes to solve SODEs where the technique of ...
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Hussein ALKasasbeh, Irina Perfilieva, Muhammad Zaini Ahmad and Zainor Ridzuan Yahya
In this paper, new fuzzy numerical methods based on the fuzzy transform (F-transform or FT) for solving the Cauchy problem are introduced and discussed. In accordance with existing methods such as trapezoidal rule, Adams Moulton methods are improved usin...
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Kelyn Schenatto, Eduardo Godoy Souza, Claudio Leones Bazzi, Vanderlei Arthur Bier, Nelson Miguel Betzek, Alan Gavioli
Pág. 31 - 40
Precision agriculture (PA) comprises the use of management zones (MZs). Sample data are usually interpolated to define MZs. Current research checks whether there is a need for data interpolation by evaluating the quality of MZs by five indices ? variance...
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Everton Coimbra de Araújo, Jerry A. Johann, Miguel A. Uribe-Opazo, Eduardo C.G. Camargo
Pág. 617 - 627
This study aimed to apply an approach based on fuzzy clustering for the classification of areas associated with soybean yield combined with the following agrometeorological variables: rainfall, average air temperature and average global solar radiation. ...
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