CBIR Feature Extraction Using Neuro-Fuzzy Approach

Proceedings of the International Conference on Recent Cognizance in Wireless Communication & Image Processing ◽

10.1007/978-81-322-2638-3_60 ◽

2016 ◽

pp. 535-541

Author(s):

Ajay Kumar Bansal ◽

Swati Mathur

Keyword(s):

Feature Extraction ◽

Fuzzy Approach ◽

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A hybrid neuro-fuzzy approach for brain abnormality detection using GLCM based feature extraction

2013 International Conference on Emerging Trends in Communication, Control, Signal Processing and Computing Applications (C2SPCA) ◽

10.1109/c2spca.2013.6749454 ◽

2013 ◽

Author(s):

Suchita Goswami ◽

Lalit Kumar P. Bhaiya

Keyword(s):

Feature Extraction ◽

Fuzzy Approach ◽

Abnormality Detection ◽

Brain Abnormality ◽

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Unsupervised feature extraction using neuro-fuzzy approach

Fuzzy Sets and Systems ◽

10.1016/s0165-0114(01)00070-7 ◽

2002 ◽

Vol 126 (3) ◽

pp. 277-291 ◽

Author(s):

Rajat K. De ◽

Jayanta Basak ◽

Sankar K. Pal

Keyword(s):

Feature Extraction ◽

Fuzzy Approach ◽

Neuro Fuzzy ◽

Unsupervised Feature Extraction

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User/tutor optimal learning path in e-learning using comprehensive neuro-fuzzy approach

Educational Research Review ◽

10.1016/j.edurev.2009.02.001 ◽

2009 ◽

Vol 4 (2) ◽

pp. 142-155 ◽

Author(s):

Hamed Fazlollahtabar ◽

Iraj Mahdavi

Keyword(s):

Fuzzy Approach ◽

Optimal Learning ◽

Learning Path ◽

Neuro Fuzzy ◽

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An adaptive framework to enhance microscopic traffic modelling: an online neuro-fuzzy approach

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering ◽

10.1177/0954407015623890 ◽

2016 ◽

Vol 230 (13) ◽

pp. 1767-1779 ◽

Author(s):

Reza Kazemi ◽

Majid Abdollahzade

Keyword(s):

Fuzzy Approach ◽

Traffic Modelling ◽

Neuro Fuzzy ◽

Adaptive Framework

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Control of Organic Rankine Cycle, a neuro-fuzzy approach

Control Engineering Practice ◽

10.1016/j.conengprac.2021.104728 ◽

2021 ◽

Vol 109 ◽

pp. 104728

Author(s):

H. Enayatollahi ◽

P. Fussey ◽

B.K. Nguyen

Keyword(s):

Organic Rankine Cycle ◽

Rankine Cycle ◽

Fuzzy Approach ◽

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Neuro-Fuzzy Approach to Explosion Consequence Analysis

2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence) ◽

10.1109/confluence47617.2020.9058024 ◽

2020 ◽

Author(s):

Lakshya Tyagi ◽

Abhishek Singhal

Keyword(s):

Fuzzy Approach ◽

Consequence Analysis ◽

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Application of neuro-fuzzy approach in prediction of runup in swash zone

Applied Ocean Research ◽

10.1016/j.apor.2008.02.004 ◽

2008 ◽

Vol 30 (1) ◽

pp. 17-27 ◽

Author(s):

R. Bakhtyar ◽

A. Yeganeh Bakhtiary ◽

A. Ghaheri

Keyword(s):

Fuzzy Approach ◽

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Implementation of feedback-linearization-modelled induction motor drive through an adaptive simplified neuro-fuzzy approach

Sadhana ◽

10.1007/s12046-017-0741-6 ◽

2017 ◽

Vol 42 (12) ◽

pp. 2113-2135 ◽

Author(s):

RABI NARAYAN MISHRA ◽

KANUNGO BARADA MOHANTY

Keyword(s):

Induction Motor ◽

Feedback Linearization ◽

Motor Drive ◽

Induction Motor Drive ◽

Fuzzy Approach ◽

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A new ARIMA-based neuro-fuzzy approach and swarm intelligence for time series forecasting

Engineering Applications of Artificial Intelligence ◽

10.1016/j.engappai.2011.10.005 ◽

2012 ◽

Vol 25 (2) ◽

pp. 295-308 ◽

Author(s):

Chunshien Li ◽

Jhao-Wun Hu

Keyword(s):

Time Series ◽

Swarm Intelligence ◽

Time Series Forecasting ◽

Fuzzy Approach ◽

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Data driven modeling of human welder intelligence: A neuro-fuzzy approach

2013 IEEE International Conference on Automation Science and Engineering (CASE) ◽

10.1109/coase.2013.6653890 ◽

2013 ◽

Author(s):

YuKang Liu ◽

WeiJie Zhang ◽

YuMing Zhang

Keyword(s):

Data Driven ◽

Fuzzy Approach ◽

Neuro Fuzzy ◽

Data Driven Modeling

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