Results 51 to 60 of about 17,798,065 (292)
ANFIS optimized semi-active fuzzy logic controller for magnetorheological dampers
Open Engineering, 2016 In this paper, we report on the development of a neuro-fuzzy controller for magnetorheological dampers using an Adaptive Neuro-Fuzzy Inference System or ANFIS.
César Manuel Braz, Barros Rui Carneiro
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Advanced Materials, EarlyView.Sub‐stoichiometric amounts of Na+ or K+ enhance defect healing during Silicalite‐1 (MFI) and TS‐1 calcination by promoting Si–O–Si annealing and healing framework vacancies. The resulting defect‐free zeolites are more hydrophobic and show improved butanol/water separation and improved activity and selectivity in the epoxidation of 1‐hexene, offering a ...
Christos Kanteler +14 more
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Machine fault diagnosis and condition prognosis using classification and regression trees and neuro-fuzzy inference systems [PDF]
, 2010 This paper presents an approach to machine fault diagnosis and condition prognosis based on classification and regression tress (CART) and neuro-fuzzy inference systems (ANFIS).
Yang, Bo-Suk, Tran, Van Tung
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Thermal Enhancement of TADF‐OLED Performance: Size of Active Area Matters
Advanced Materials Interfaces, EarlyView.Large‐area TADF‐based OLEDs can be used as thermally assisted light‐emitting devices, in which moderate waste heat can partially compensate for efficiency losses associated with increasing active area. ABSTRACT Temperature significantly impacts the performance of light‐emitting diodes, typically causing degradation as they heat up. However, OLEDs using
Demyd V. Pekur +9 more
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Numerical: Jurnal Matematika dan Pendidikan Matematika, 2018 This research aims to establish a control system on blender by using fuzzy control system with mamdani method. In this study, researchers used input in the form of hardness level and volume of fruit to be blend, while the output is blend time (0 to 180 ...
Khomarudin Fahuzan, Uke Ralmugiz
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Um modelo de rede neuro-fuzzy baseada em funções de base radial capaz de inferir regras do tipo Mamdani [PDF]
, 2015 Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Ciência da Computação, Florianópolis, 2015.Este trabalho tem como objetivo apresentar um novo sistema de inferência neuro-fuzzy, chamado ...
Rodrigues, Diego Garcia
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Recent Advances of Slip Sensors for Smart Robotics
Advanced Materials Technologies, EarlyView.This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang +8 more
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Monthly rainfall time series prediction using modular fuzzy inference system with nonlinear optimization techniques [PDF]
, 2012 Accurate rainfall time series prediction is one of the important tasks in hydrological study. A conventional time series model such as autoregressive moving average or an intelligent model such as artificial neural network have been used efficiently to ...
Kajornrit, J.
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On‐Chip Photonic Neural Network Architectures
Advanced Optical Materials, EarlyView.This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong +7 more
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مجله انفورماتیک سلامت و زیست پزشکی, 2020 Introduction: The metastasis of breast cancer, the spread of cancer to different body parts, is considered as one of the most important factors responsible for the majority of deaths caused by breast cancer in women.
Arezou HomaieFasih +2 more
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