Results 181 to 190 of about 8,169 (234)

Circulating organokines in coronary artery disease and metabolic syndrome: FABP4, adiponectin, irisin, FSTL1. [PDF]

Biomol Biomed
Uyaner Kan M, Kilinc İ, Akilli H, Bilgic HH.   +3 more
europepmc   +1 more source

Optimizing adaptive neuro-fuzzy inference system model based Chaotic Harris Hawks algorithm for stock prediction. [PDF]

Sci Rep
Mohamed ZE, Refaie Ali A, Dabour W.
europepmc   +1 more source

Multilayer perceptron neural network approach for power quality improvement in a grid integrated PV and electric vehicle systems. [PDF]

PLoS One
Das SR, Sabhahit JN, Patro KAK, Acharya DP, Mohanty A, Cuce E.   +5 more
europepmc   +1 more source

A multi-scenario evaluation of adaptive Fuzzy Logic Algorithms for intelligent traffic signal management in Urban intersections. [PDF]

Sci Rep
Shaheen S, Qadri SSSM, Riaz MB, Martinovic J, Dvorský J, Slaninová K.   +5 more
europepmc   +1 more source

Approximation of cumulative infiltration of soils in arid and semi-arid regions. [PDF]

Sci Rep
Vashisth A, Esmaeilbeiki F, Singh V, Sihag P.   +3 more
europepmc   +1 more source

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An Implementation of the Adaptive Neuro-Fuzzy Inference System (ANFIS) for Odor Source Localization

2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020
In this paper, we investigate the viability of implementing machine learning (ML) algorithms to solve the odor source localization (OSL) problem. The primary objective is to obtain an ML model that guides and navigates a mobile robot to find an odor source without explicating searching algorithms.
Lingxiao Wang 0005, Shuo Pang 0001
openaire   +1 more source

An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM

Expert Systems with Applications, 2009
A wire electrical discharge machined (WEDM) surface is characterized by its roughness and metallographic properties. Surface roughness and white layer thickness (WLT) are the main indicators of quality of a component for WEDM. In this paper an adaptive neuro-fuzzy inference system (ANFIS) model has been developed for the prediction of the white layer ...
Ulas Çaydas, Ahmet Hasçalik, Sami Ekici   +2 more
openaire   +1 more source

MI-ANFIS: A multiple instance Adaptive Neuro-Fuzzy Inference System

2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015
We introduce a novel adaptive neuro-fuzzy architecture based on the framework of Multiple Instance Fuzzy Inference. The new architecture called Multiple Instance-ANFIS (MI-ANFIS), is an extension of the standard Adaptive Neuro Fuzzy Inference System (ANFIS) [1] that is designed to handle reasoning with multiple instances (bags of instances) as input ...
Amine Ben Khalifa, Hichem Frigui
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Adaptive Neuro Fuzzy Inference System (ANFIS) based wildfire risk assessment

Journal of Experimental & Theoretical Artificial Intelligence, 2019
ABSTRACTWildfires are extremely destructive disasters that cause significant loss of lives, forest cover and wildlife. This is due to their uncontrolled, erratic, rapid spread and behaviour. The incidence of wildfires is expected to increase worldwide because of Global Warming.
Harkiran Kaur, Sandeep K. Sood
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Adaptive neuro-fuzzy inference system (ANFIS) in modelling breast cancer survival

International Conference on Fuzzy Systems, 2010
Medical prognosis is the prediction of the future course and outcome of a disease and an indication of the likelihood of recovery from that disease. Soft-computing approaches including artificial neural networks and fuzzy inference have been used widely to model expert behaviour.
Hazlina Hamdan, Jonathan M. Garibaldi
openaire   +1 more source