Results 31 to 40 of about 20,611,816 (251)
Results in Engineering, 2023 Adaptive neuro-fuzzy inference system and response surface methodology techniques were used to predict coagulation-flocculation parameters needed to remove color and COD effectively and produce acceptable sludge using Mucuna sloanei at 298 K from a dye ...
Patrick Chukwudi Nnaji +7 more
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Prioritised fuzzy constraint satisfaction problems: axioms, instantiation and validation [PDF]
, 2003 This paper identifies a generic axiom framework for prioritised fuzzy constraint satisfaction problems (PFCSPs), and proposes methods to instantiate it (i.e., to construct specific schemes which obey the generic axiom framework).
Luo, X. +14 more
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Revista Brasileira de Engenharia Agrícola e Ambiental, 2011 Objetiva-se, com este trabalho, definir zonas de manejo para cafeicultura por meio dos métodos K-Means e Fuzzy C-Means, com base em determinações realizadas com sensor de clorofila e por análise foliar, e avaliar as zonas de manejo obtidas usando-se os ...
Francelino A. Rodrigues Junior +3 more
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Identification of Fault Lineaments and Earthquake Hazard Zoning Using Remote Sensing and GIS: A Case Study of Rumeshkan County, Lorestan Province [PDF]
جغرافیا و برنامهریزی محیطی, 2023 As a natural hazard, earthquake has always caused destruction and loss of human life throughout history. Proper planning to prevent or reduce the destructive impact of earthquake hazard is of particular importance.
Siamak Baharvand +2 more
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Scientific Reports, 2023 Serious health issues can result from exposure to the nitrogenous pollutant like 2,4,6-trinitrotoluene (TNT), which is emitted into the environment by the munitions and military industries, as well as from TNT-contaminated wastewater.
Hossein Karimi +4 more
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Using nonstationary fuzzy sets to improve the tractability of fuzzy association rules [PDF]
, 2013 Modern organisations now collect very large volumes of data about customers, suppliers and other factors which may impact upon their business. There is a clear need to be able to mine this data and present it to decision makers in a clear and coherent ...
Matthews, Stephen G. +3 more
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Fuzzy and tile coding approximation techniques for coevolution in reinforcement learning [PDF]
, 2005 PhDThis thesis investigates reinforcement learning algorithms suitable for learning in large state space problems and coevolution. In order to learn in large state spaces, the state space must be collapsed to a computationally feasible size and then ...
Tokarchuk, Laurissa Nadia
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On k-fuzzy metric spaces with applications
Nonlinear AnalysisWith application point of view, Gopal et al. [D. Gopal, W. Sintunavarat, A.S. Ranadive, S. Shukla, The investigation of k-fuzzy metric spaces with the first contraction principle in such spaces, Soft Comput., 27:11081–11089, 2023] generalized the ...
Uma Devi Patel +3 more
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Austrian Journal of Statistics, 2016 Workshop Statistics. (A. Rossman, B. von Oehsen) Lineare Regression und Verwandtes: Beispiele mit Lösungsvorschlägen. (H. Riedwyl) Multivariate Analysemethoden. Eine anwendungsorientierte Einführung. (K. Backhaus, B. Erichson, W. Plinke, R.
Reinhold Hatzinger +10 more
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Approximate Analysis of Multi-State Weighted k-Out-of-n Systems Applied to Transmission Lines
Energies, 2017 Multi-state weighted k-out-of-n systems are widely applied in various scenarios, such as multiple line (power/oil transmission line) transmission systems where the capability of fault tolerance is desirable. However, the complex operating environment and
Xiaogang Song +4 more
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