Results 31 to 40 of about 54,763 (263)

The application of ANFIS prediction models for thermal error compensation on CNC machine tools [PDF]

open access: yes, 2014
Thermal errors can have significant effects on CNC machine tool accuracy. The errors come from thermal deformations of the machine elements caused by heat sources within the machine structure or from ambient temperature change.
Abdulshahed   +35 more
core   +1 more source

A Healthcare Monitoring System for the Diagnosis of Heart Disease in the IoMT Cloud Environment Using MSSO-ANFIS

open access: yesIEEE Access, 2020
The IoT has applications in many areas such as manufacturing, healthcare, and agriculture, to name a few. Recently, wearable devices have become popular with wide applications in the health monitoring system which has stimulated the growth of the ...
Mohammad Ayoub Khan, Fahad Algarni
semanticscholar   +1 more source

Analyzing bank profile shape of alluvial stable channels using robust optimization and evolutionary ANFIS methods

open access: yesApplied Water Science, 2019
In natural rivers and artificial channels in addition to the channel dimensions (widening, reduction in slope and depth in the channel banks), formed shape profile in the case that the sediment on the banks with no movement (thresholds state) is of ...
Azadeh Gholami   +5 more
doaj   +1 more source

Adaptive neuro-fuzzy inference system for temperature and humidity profile retrieval from microwave radiometer observations [PDF]

open access: yesAtmospheric Measurement Techniques, 2015
The retrieval of accurate profiles of temperature and water vapour is important for the study of atmospheric convection. Recent development in computational techniques motivated us to use adaptive techniques in the retrieval algorithms.
K. Ramesh   +4 more
doaj   +1 more source

Modelling of a Flexible Manoeuvring System Using ANFIS Techniques [PDF]

open access: yes, 2010
The increased utilization of flexible structure systems, such as flexible manipulators and flexible aircraft in various applications, has been motivated by the requirements of industrial automation in recent years.
Bin Zaidan, Martha Arbayani   +2 more
core   +1 more source

An adaptive neuro-fuzzy propagation model for LoRaWAN [PDF]

open access: yes, 2019
This article proposes an adaptive-network-based fuzzy inference system (ANFIS) model for accurate estimation of signal propagation using LoRaWAN. By using ANFIS, the basic knowledge of propagation is embedded into the proposed model.
Curtis, Krystyna   +3 more
core   +1 more source

Di-ANFIS: an integrated blockchain-IoT-big data-enabled framework for evaluating service supply chain performance

open access: yesJournal of Computational Design and Engineering, 2021
Service supply chain management is a complex process because of its intangibility, high diversity of services, trustless settings, and uncertain conditions.
S. M. H. Bamakan   +2 more
semanticscholar   +1 more source

Modeling and Uncertainty Analysis of Groundwater Level Using Six Evolutionary Optimization Algorithms Hybridized with ANFIS, SVM, and ANN [PDF]

open access: yesSustainability, 2020
In the present study, six meta-heuristic schemes are hybridized with artificial neural network (ANN), adaptive neuro-fuzzy interface system (ANFIS), and support vector machine (SVM), to predict monthly groundwater level (GWL), evaluate uncertainty ...
A. Seifi   +3 more
semanticscholar   +1 more source

Predicting the geometry of stable alluvial channels: combination of data mining and meta-heuristic optimization [PDF]

open access: yesJournal of Hydraulic Structures, 2023
One of the important topics in river engineering is the design of stable alluvial channel geometry in the regime mode (dynamic balance between erosion and sedimentation) including the width, depth and slope.
Fatemeh Lanjabi Sharahi   +3 more
doaj   +1 more source

Optimization of ANFIS Model using Genetic Algorithm for Estimation of Scour Depth around Bridge Abutments

open access: yesعلوم آب و خاک, 2021
Optimization of artificial intelligence (AI) models is a significant issue because it enhances the performance and flexibility of the numerical models.
E. Yarmohammadi, S. Shabanlou, A. Rajabi
doaj  

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