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Science of the Total Environment, 2020
Landslides are natural and sometimes quasi-natural hazards that are destructive to natural resources and cause loss of human life every year. Hence, preparing susceptibility maps for landslide monitoring is essential to minimizing their negative effects.
, Amiya Gayen, Šaro Lee
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Landslides are natural and sometimes quasi-natural hazards that are destructive to natural resources and cause loss of human life every year. Hence, preparing susceptibility maps for landslide monitoring is essential to minimizing their negative effects.
, Amiya Gayen, Šaro Lee
exaly +2 more sources
An adaptive neuro-fuzzy inference system (ANFIS) model for wire-EDM
Expert Systems with Applications, 2009A 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 +2 more
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Adaptive Neuro Fuzzy Inference System (ANFIS) based wildfire risk assessment
Journal of Experimental and Theoretical Artificial Intelligence, 2019ABSTRACTWildfires 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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Sustainable Intelligent Infrastructure
Pavement maintenance is a critical aspect of transportation and infrastructure management, as it directly impacts traffic flow, vehicle maintenance, safety and accident rate. Effective prediction and prevention of pavement deterioration are essential for optimizing pavement maintenance strategies, reducing cost, and ensuring the lifespan or longevity ...
Jesam Abam Ujong +8 more
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Pavement maintenance is a critical aspect of transportation and infrastructure management, as it directly impacts traffic flow, vehicle maintenance, safety and accident rate. Effective prediction and prevention of pavement deterioration are essential for optimizing pavement maintenance strategies, reducing cost, and ensuring the lifespan or longevity ...
Jesam Abam Ujong +8 more
exaly +2 more sources
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), 2020In 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
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MI-ANFIS: A multiple instance Adaptive Neuro-Fuzzy Inference System
2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2015We 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) in modelling breast cancer survival
International Conference on Fuzzy Systems, 2010Medical 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
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