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The design of ultrasonic therapy device via fuzzy logic

Expert Systems with Applications · Haziran 2011

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YÖKSİS Kayıtları
The design of ultrasonic therapy device via fuzzy logic
Expert Systems with Applications · 2011 SCI-Expanded
Öğr. Gör. SEMA YILDIRIM →
YÖKSİS ISSN Eşleşmesi

Bu dergide (ISSN eşleşmesi) kurumun 20 kaydı bulundu.

YÖKSİS Kayıtları — ISSN Eşleşmesi
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Web based medical decision support system application of Coronary Heart Disease diagnosis with Boolean functions minimization method
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Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method
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A fuzzy clustering approach for finding similar documents using a novel similarity measure
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A new approach on search for similar documents with multiple categories using fuzzy clustering
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Organizational strategy development in distribution channel management using fuzzy AHP and hierarchical fuzzy TOPSIS
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Artificial neural network and fuzzy expert system comparison for prediction of performance and emission parameters on a gasoline engine
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Fuzzy expert system design for operating room air-condition control systems
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Prognosis of prostate cancer by artificial neural networks
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Prediction of diesel engine performance using biofuels with artificial neural network
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The effects of fuzzy control of magnetic flux on magnetic filter performance and energy consumption
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Anesthetic gas control with neuro fuzzy system in anesthesia
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An Adaptive Network Based Fuzzy Inference System ANFIS for the prediction of stock market return The case of the Istanbul Stock Exchange
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Predicting direction of stock price index movement using artificial neural networks and support vector machines The sample of the Istanbul Stock Exchange
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Predicting bank financial failures using neural networks support vector machines and multivariate statistical methods A comparative analysis in the sample of savings deposit insurance fund SDIF transferred banks in Turkey
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The design of ultrasonic therapy device via fuzzy logic
2011 ISSN: 09574174 SCI-Expanded
Öğr. Gör. SEMA YILDIRIM →
Assessment of exercise stress testing with artificial neural network in determining coronary artery disease and predicting lesion localization
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Makale Bilgileri

Dergi Expert Systems with Applications
ISSN09574174
Yayın TarihiHaziran 2011
Cilt / Sayfa38 · 7342-7348
DOI10.1016/j.eswa.2010.12.094
Scopus ID2-s2.0-79951579262
Özet In this study, an embedded system was designed and realized for the purpose of maintaining the most appropriate treatment condition to physiotherapy patients (patient's age, position of the affected tissue, tissue thickness, surface of treatment area and fat rate in tissue). To this aim, 450 different patients' data obtained from Seluk University, Meram Faculty of Medicine, Physiotherapy Department, were used. The most sensitive and appropriate ultrasound values to be applied to the patient were obtained by means of a device designed using FL approach. For fuzzy logic controller, an application (interface) program was designed and placed in an embedded system with the realized ultrasound device. Data obtained through this system and data obtained from an expert were compared and as a result, it was seen that data from the designed system were in line with the existing data. © 2010 Elsevier Ltd. All rights reserved.

Yazarlar (2)

1
Hakan Işik
2
Sema Arslan

Anahtar Kelimeler

Fuzzy logic controller Ultrasonic therapy Ultrasound

Kurumlar

Selçuk Üniversitesi
Selçuklu Turkey
Scimago Dergi (ISSN Eşleşmesi)
Expert Systems with Applications
Q1
SJR Skoru1,854
H-Index290
YayıncıElsevier Ltd
ÜlkeUnited Kingdom
Artificial Intelligence (Q1)
Computer Science Applications (Q1)
Engineering (miscellaneous) (Q1)
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Metrikler

6
Atıf
2
Yazar
3
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SEMA YILDIRIM
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