Results 41 to 50 of about 17,074 (218)
Comparison of adaptive neuro-fuzzy inference system (ANFIS) and Gaussian processes for machine learning (GPML) algorithms for prediction of skin temperature in lower limb prostheses [PDF]
, 2016 Monitoring of the interface temperature at skin level in lower-limb prosthesis is notoriously complicated. This is due to the flexible nature of the interface liners used impeding the required consistent positioning of the temperature sensors during ...
Buis, Arjan, Glesk, Ivan, Mathur, Neha
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Prediction of Mechanical Properties of LDPE-TPS Nanocomposites Using Adaptive Neuro-Fuzzy Inference System [PDF]
علوم و تکنولوژی پلیمر, 2012 The changes in the behaviour of mechanical properties of low densitypolyethylene-thermoplastic corn starch (LDPE-TPCS) nanocompositeswere studied by an adaptive neuro-fuzzy interference system.
Maryam Sabetzadeh +2 more
doaj +1 more source
Advanced Intelligent Systems, EarlyView.Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Using an adaptive fuzzy-logic system to optimize the performances and the reduction of chattering phenomenon in the control of induction motor [PDF]
Serbian Journal of Electrical Engineering, 2009 Neural networks and fuzzy inference systems are becoming well recognized tools of designing an identifier/controller capable of perceiving the operating environment and imitating a human operator with high performance.
Barazane Linda +3 more
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Advanced Intelligent Systems, EarlyView.Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Using Adaptive Neuro-fuzzy Inference System in Processing of Fetal ECG [PDF]
, 2018 Tato práce je zaměřena na využití adaptivního neuro-fuzzy inferenčního systému (ANFIS) ve zpracování plodového EKG. v první části je nastíněna problematika plodového EKG.
Šajnová, Lucie
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Adaptive neuro-fuzzy inference system-based backcalculation approach to airport pavement structural analysis [PDF]
, 2009 This paper describes the application of adaptive neuro-fuzzy inference system (ANFIS) methodology for the backcalculation of airport flexible pavement layer moduli.
Ceylan, Halil +2 more
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Journal of Agricultural Machinery, 2014 Suitable soil structure is important for crop growth. One of the main characteristics of soil structure is the size of soil aggregates. There are several ways of showing the stability of soil aggregates, among which the determination of the median weight
R Sedghi, Y Abbaspour Gilandeh
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The Canadian Journal of Chemical Engineering, EarlyView.Abstract Global energy demand and environmental concerns have intensified the search for renewable and sustainable energy sources. This study thus, focuses on optimizing the transesterification process of waste cooking oil (WCO) using thermally activated basic oxygen furnace slag catalyst calcined at 850°C (BOF 850). The optimization and modelling were
Johra S. Ali, Hillary L. Rutto
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An Intelligent System for Load Forecasting on a Distribution Network
Journal of Digital Food, Energy & Water Systems, 2021 This paper presents an Adaptive Neuro-Fuzzy Inference system (ANFIS) technique for medium-term load forecasting in a distribution network. This technique is an integrated system consisting of fuzzy logic systems and Artificial Neural network (ANN).
Saheed Gbadamosi +1 more
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