Zobrazeno 1 - 10 of 28 pro vyhledávání: '"SUVEREN, MEMDUH"'
1
Akademický článek
Localization of an ultra wide band wireless endoscopy capsule inside the human body using received signal strength and centroid algorithm.
Autor: Suveren, Memduh1 msuveren@erciyes.edu.tr, Akay, Rüştü1 akay@erciyes.edu.tr, Kanaan, Muzaffer1 mkanaan@erciyes.edu.tr
Publikováno v: International Journal of Optimization & Control: Theories & Applications. 2022, Vol. 12 Issue 2, p151-159. 9p.
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2
Akademický článek
A novel frequency-dependent path loss model for ultra wideband implant body area networks
Autor: Kanaan, Muzaffer, Suveren, Memduh
Publikováno v: In Measurement May 2015 68:117-127
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3
Akademický článek
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4
Wireless Capsule Localization Inside the Human Small Intestine Using a Permanent Cube-Shaped Magnet with Analytical Magnetic Model
Autor: Kanaan, Muzaffer, Suveren, Memduh
Wireless Capsule Endoscopy (WCE) is a non-invasive technique used to visualize the digestive system in the human body. Many gastrointestinal (GI) system diseases such as Crohn's disease, tumor, bleeding, and polyps can be easily diagnosed with WCE. I
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______9447::4ee3e4f2b1cafe8c522db08379ff0def
https://avesis.erciyes.edu.tr/publication/details/cb3cc6d3-b66f-460b-8a91-22be1bee29b0/oai
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5
Akademický článek
A new propagation modeling technique for ultra-wideband implant body area networks based on a neural network architecture.
Autor: Kanaan, Muzaffer1 mkanaan@erciyes.edu.tr, Suveren, Memduh1
Publikováno v: Neural Computing & Applications. Nov2017, Vol. 28 Issue 11, p3603-3615. 13p.
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7
Gear Fault Modelling by Using Acoustic Measurements and Artificial Neural Networks
Autor: Ulus, Şaban, Suveren, Memduh
Rotating machine elements in mechanical systems such as gears and bearings have a major impact tomaintain machine power transmission and machine working life in a healthy situation. Some mechanicalfailures including cracked tooth and pitting faults e
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______9447::c8800cf3456f8005b8a07e3333b25996
https://avesis.erciyes.edu.tr/publication/details/70f8418e-e294-434e-b58b-80fd91e60f32/oai
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10
A VIBRATION BASED FAULT DETECTION OF GEAR SYSTEMS USING NEURAL PREDICTOR
Autor: SUVEREN, Memduh, ERKAYA, Selçuk, ULUS, Şaban
Condition monitoring of mechanical systems are very important for increasing the safety, reducing the high cost and the stoppage time of production, eliminating the possible fault. In this study, a gearbox system is used to investigate the vibration
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______9447::30efa37ff0a561988a375d33c1151701
https://avesis.erciyes.edu.tr/publication/details/cbe2169b-76e5-4dee-b657-125ee68f50c1/oai
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