Using adaptive neuro-fuzzy inference system technique for crosstalk correction in simultaneous 99mTc/201Tl SPECT imaging: A Monte Carlo simulation study

Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment ◽

10.1016/j.nima.2014.09.080 ◽

2015 ◽

Vol 770 ◽

pp. 14-20 ◽

Cited By ~ 1

Author(s):

Saeed Heidary ◽

Saeed Setayeshi

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Simulation Study ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Monte Carlo Simulation Study ◽

Inference System ◽

201Tl Spect ◽

Neuro Fuzzy ◽

System Technique

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Comparison of an adaptive neuro-fuzzy inference system and an artificial neural network in the cross-talk correction of simultaneous 99m Tc / 201Tl SPECT imaging using a GATE Monte-Carlo simulation

Journal of the Korean Physical Society ◽

10.3938/jkps.65.778 ◽

2014 ◽

Vol 65 (5) ◽

pp. 778-785 ◽

Cited By ~ 1

Author(s):

Saeed Heidary ◽

Saeed Setayeshi ◽

Mohammad Ghannadi-Maragheh

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Monte Carlo Simulation ◽

Monte Carlo ◽

Cross Talk ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

201Tl Spect ◽

Neuro Fuzzy

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Performance Evaluation of an Adaptive-Network-Based Fuzzy Inference System Approach for Location of Faults on Transmission Lines Using Monte Carlo Simulation

IEEE Transactions on Fuzzy Systems ◽

10.1109/tfuzz.2008.924210 ◽

2008 ◽

Vol 16 (4) ◽

pp. 909-919 ◽

Cited By ~ 58

Author(s):

M. Reddy ◽

D.K. Mohanta

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Performance Evaluation ◽

Transmission Lines ◽

Fuzzy Inference System ◽

System Approach ◽

Fuzzy Inference ◽

Adaptive Network ◽

Inference System ◽

Location Of Faults

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Revisiting the Coefficient of Isothermal Oil Compressibility Below Bubble Point Pressure and Formulation of a New Model using Adaptive Neuro-Fuzzy Inference System Technique

10.2523/iptc-20293-abstract ◽

2020 ◽

Author(s):

Mohammed A. Ayoub ◽

Siti Nornajwa Zainal ◽

Mysara E. Elhaj ◽

Ku Esyra Hani Ku Ishak ◽

Quosay Ahmed

Keyword(s):

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

New Model ◽

Bubble Point ◽

Bubble Point Pressure ◽

Neuro Fuzzy ◽

System Technique ◽

Point Pressure

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Diagnosis of fault and condition monitoring of dynamic structures using the multiple adaptive-neuro-fuzzy inference system technique

Proceedings of the Institution of Mechanical Engineers Part G Journal of Aerospace Engineering ◽

10.1243/09544100jaero632 ◽

2009 ◽

Vol 224 (3) ◽

pp. 259-270

Author(s):

D R K Parhi ◽

H Das

Keyword(s):

Condition Monitoring ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Neuro Fuzzy ◽

System Technique ◽

Dynamic Structures

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Daily diffuse solar radiation estimation using adaptive neuro-fuzzy inference system technique

Numerical Heat Transfer Part B Fundamentals ◽

10.1080/10407790.2019.1690879 ◽

2019 ◽

Vol 77 (2) ◽

pp. 138-151

Author(s):

Xinhua Xue

Keyword(s):

Solar Radiation ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Diffuse Solar Radiation ◽

Neuro Fuzzy ◽

System Technique

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Modeling of zenith path delay over Antarctica using an adaptive neuro fuzzy inference system technique

Expert Systems with Applications ◽

10.1016/j.eswa.2014.09.029 ◽

2015 ◽

Vol 42 (3) ◽

pp. 1050-1064 ◽

Cited By ~ 15

Author(s):

Wayan Suparta ◽

Kemal Maulana Alhasa

Keyword(s):

Fuzzy Inference System ◽

Fuzzy Inference ◽

Path Delay ◽

Inference System ◽

Neuro Fuzzy ◽

Zenith Path Delay ◽

System Technique

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Estimation of Precipitable Water Vapor Using an Adaptive Neuro-fuzzy Inference System Technique

Lecture Notes in Computer Science - Information and Communicatiaon Technology ◽

10.1007/978-3-642-36818-9_22 ◽

2013 ◽

pp. 214-222 ◽

Cited By ~ 4

Author(s):

Wayan Suparta ◽

Kemal Maulana Alhasa

Keyword(s):

Water Vapor ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Precipitable Water ◽

Precipitable Water Vapor ◽

Inference System ◽

Neuro Fuzzy ◽

System Technique

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Adaptive Neuro Fuzzy Inference System Technique on Polysomnographs for the detection of Stressful Conditions

IETE Journal of Research ◽

10.1080/03772063.2018.1429325 ◽

2018 ◽

Vol 65 (3) ◽

pp. 298-309

Author(s):

Chetna Nagpal ◽

Prabhat Kumar Upadhyay

Keyword(s):

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Neuro Fuzzy ◽

System Technique

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A Monte Carlo simulation study of associated liquid crystals

Molecular Physics ◽

10.1080/002689799162966 ◽

1999 ◽

Vol 97 (11) ◽

pp. 1173-1184 ◽

Cited By ~ 1

Author(s):

R. Berardi, M. Fehervari, C. Zannoni

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Liquid Crystals ◽

Simulation Study ◽

Monte Carlo Simulation Study

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Examining the Performance Characteristics of Growth Mixture Modeling: A Monte Carlo Simulation Study

PsycEXTRA Dataset ◽

10.1037/e619812009-001 ◽

2009 ◽

Author(s):

James Peugh ◽

Xitao Fan

Keyword(s):

Monte Carlo Simulation ◽

Monte Carlo ◽

Simulation Study ◽

Growth Mixture Modeling ◽

Mixture Modeling ◽

Performance Characteristics ◽

Monte Carlo Simulation Study ◽

Growth Mixture

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