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Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-015-1946-4
Abstract: In this paper, the problem of learning in big data is considered. To solve this problem, a new algorithm is proposed as the combination of two important evolving and stable intelligent algorithms: the sequential adaptive…
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Keywords:
system msafis;
msafis evolving;
inference system;
fuzzy inference ... See more keywords
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Published in 2019 at "Soft Computing"
DOI: 10.1007/s00500-018-3013-4
Abstract: Due to the improvements of dysarthric automatic speech recognition (ASR) during the last few decades, the demand for assessment and evaluation of such technologies increased significantly. Evaluation methods of ASRs are now required to consider…
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Keywords:
inference system;
fuzzy inference;
system;
dysarthric automatic ... See more keywords
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Published in 2021 at "Optical and Quantum Electronics"
DOI: 10.1007/s11082-020-02675-0
Abstract: Predicting the behavior of photonic and Plasmon nanostructures has always been an attractive topic for photonic sciences researchers. One of the methods for estimating the behavior of devices in engineering sciences is adaptive neuro fuzzy…
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Keywords:
neuro fuzzy;
fuzzy inference;
inference system;
adaptive neuro ... See more keywords
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Published in 2020 at "Journal of Visualization"
DOI: 10.1007/s12650-019-00623-z
Abstract: Abstract The interior of a square cavity containing nanofluid with copper (Cu) nanoparticles (NPs) was simulated by a computational fluid dynamics (CFD) method. The flow rate parameters were obtained with different directions of the computing…
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Keywords:
network based;
system anfis;
based fuzzy;
fuzzy inference ... See more keywords
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Published in 2018 at "International Journal of Fuzzy Systems"
DOI: 10.1007/s40815-018-0510-7
Abstract: A coating collapse occurs when large parts of coating break away from the refractory of a rotary kiln in a cement plant. If the collapse is more conspicuous, the cooler may become filled with excessive…
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Keywords:
coating collapse;
collapse;
kiln;
cement ... See more keywords
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Published in 2018 at "Fuel"
DOI: 10.1016/j.fuel.2018.05.032
Abstract: Abstract Prediction of the cetane numbers (CN) of hydrocarbons and oxygenates was considered using the Adaptive-network-based fuzzy inference system (ANFIS) based on the quantitative structure-property relationship (QSPR) approach. In order to construct a general model,…
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Keywords:
cetane;
anfis;
fuzzy inference;
using adaptive ... See more keywords
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Published in 2020 at "Journal of Hydro-environment Research"
DOI: 10.1016/j.jher.2020.01.007
Abstract: Abstract Discharge calculations and conveyance estimations in rivers are of prime importance during high flow events. Conventional methods using single global resistance parameters are incapable of assessing discharge with high precision; thus incorporating apparent shear…
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Keywords:
shear stress;
discharge;
fuzzy inference;
apparent shear ... See more keywords
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Published in 2019 at "Measurement"
DOI: 10.1016/j.measurement.2019.106967
Abstract: Abstract Purpose In order to facilitate early detection and further diagnosis, enhancing contrast and preserving natural characteristics are the fundamental requirement. In MR imaging, the poor quality image specifically the low contrast image may deliver…
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Keywords:
fuzzy dissimilarity;
dissimilarity;
image;
contrast ... See more keywords
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Published in 2019 at "Journal of Petroleum Science and Engineering"
DOI: 10.1016/j.petrol.2019.05.044
Abstract: Abstract The purpose of this work is to present a fuzzy inference system in order to identify lithologies from wireline logs and core data from a specific borehole and transport this information to nearby uncored…
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Keywords:
inference;
methodology;
lithology identification;
fuzzy inference ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3195928
Abstract: Snake-like modular robots (MRs) are highly flexible, but, to traverse a challenging terrain or explore a region of interest, MR needs to attain efficient locomotion depending on a tradeoff between objectives like forward velocity and…
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Keywords:
inference system;
fuzzy inference;
reinforcement learning;
snake like ... See more keywords
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Published in 2017 at "IEEE Transactions on Fuzzy Systems"
DOI: 10.1109/tfuzz.2016.2567452
Abstract: The spatial disaggregation problem is an interesting problem when investigating and processing geographically correlated data; it is a special case of the map overlay problem. The map overlay problem occurs when data that are presented…
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Keywords:
disaggregation problem;
fuzzy inference;
spatial disaggregation;
inference system ... See more keywords