Search Results - "Sever, Refik"

Recovery of facial expressions using functional electrical stimulation after full-face transplantation by Topçu, Çağdaş, Uysal, Hilmi, Özkan, Ömer, Özkan, Özlenen, Polat, Övünç, Bedeloğlu, Merve, Akgül, Arzu, Döğer, Ela Naz, Sever, Refik, Çolak, Ömer Halil

“…We assessed the recovery of 2 face transplantation patients with measures of complexity during neuromuscular rehabilitation. Cognitive rehabilitation methods…”
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Assessment of Emotional Expressions after Full-Face Transplantation by Barçın, Nur Ebru, Tombak, Kadriye, Çolak, Ömer Halil, Döğer, Ela Naz, Akgül, Arzu, Bedeloğlu, Merve, Polat, Övünç, Özkan, Özlenen, Özkan, Ömer, Uysal, Hilmi, Topçu, Çağdaş, Sever, Refik

“…We assessed clinical features as well as sensory and motor recoveries in 3 full-face transplantation patients. A frequency analysis was performed on facial…”
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A new wave-pipelining methodology: wave component sampling method by Sever, Refik, Askar, Murat

“…In this article, a new wave-pipelining methodology named wave component sampling method, is proposed. In this method, only the component of a wave, whose…”
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Image-based Analysis of Emotional Facial Expressions in Full Face Transplants by Bedeloglu, Merve, Topcu, Çagdas, Akgul, Arzu, Döger, Ela Naz, Sever, Refik, Ozkan, Ozlenen, Ozkan, Omer, Uysal, Hilmi, Polat, Ovunc, Çolak, Omer Halil

“…In this study, it is aimed to determine the degree of the development in emotional expression of full face transplant patients from photographs. Hence, a…”
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ID 382 – Electrophysiological evaluation of emotional expressions in the facial transplantation patients by Uysal, Hilmi, Topçu, Çağdaş, Özkan, Özlenen, Özkan, Ömer, Barçın, Ebru, Akgül, Arzu, Bedeloğlu, Merve, Naz Döğer, Ela, Sever, Refik, Polat, Övünç, Halil Çolak, Ömer

“…It is stated that motor and sensory innervations of transplanted face of patients often completed in 6–9 months in the literature. However, we observed…”
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Wave Component Sampling Method for High Performance Pipelined Circuits by Sever, Refik

“…In all of the previous pipelining methods such as conventional pipelining, wave pipelining, and mesochronous pipelining, a data wave propagating on the…”
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A two stage template matching algorithm and its İmplementation on FPGA by Aktas, Hakan, Sever, Refik, Toreyin, Behcet Ugur

“…In this paper, to decrease the computational cost and number of cycles in Template Matching Algorithm, a novel two-stage algorithm is proposed. The Sum of…”
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Image based analysis of emotional expression development in facial transplant patient by Bedeloglu, Merve, Topcu, Cagdas, Doger, Ela Naz, Akgul, Arzu, Sever, Refik, Ozkan, Ozlenen, Ozkan, Omer, Uysal, Hilmi, Polat, Ovunc, Halil Colak, Omer

“…In this study, in healthy groups and facial transplantation patient, Gabor Wavelet transform based on appearance was adopted for recognition neutral and 6…”
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Higuchi fractal dimension analysis of surface EMG signals and determination of active electrode positions by Topcu, Cagdas, Bedeloglu, Merve, Akgul, Arzu, Sever, Refik, Ozkan, Ozlenen, Ozkan, Omer, Uysal, Hilmi, Polat, Ovunc, Colak, Omer Halil

“…In this study, fractal dimension which used to analysis complexity of the biomedical signals used to determine active channels when performing 24 fingers and…”
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Investigation of active channels in multi-channel surface arm EMG recordings for 24 different movements by Akgul, Arzu, Bedeloglu, Merve, Topcu, Cagdas, Sever, Refik, Ozkan, Ozlenen, Ozkan, Omer, Uysal, Hilmi, Polat, Ovunc, Colak, Omer Halil

“…In this study, a structure based ona Self Organizing Map (SOM) depending on RMS(Root Mean Square), MAV(Mean Absolute Value) and MF(Mean Frequency) features was…”
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Entropy analysis of surface EMG for classification of face movements by Topcu, Cagdas, Akgul, Arzu, Bedeloglu, Merve, Doger, Ela Naz, Sever, Refik, Ozkan, Ozlenen, Ozkan, Omer, Uysal, Hilmi, Polat, Ovunc, Colak, Omer Halil

“…Measuring complexity of dynamical systems is a mighty tool for electrophysiological signal processing. There are plenty of entropies for estimating complexity…”
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A high speed ASIC implementation of the Rijndael algorithm by SEVER, Refik, NESLIN ISMAILOGLU, A, TEKMEN, Yusuf C, ASKAR, Murat

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A high speed FPGA implementation of the Rijndael algorithm by Sever, R., Ismailglu, A.N., Tekmen, Y.C., Askar, M., Okcan, B.

“…This paper presents a high speed, non-pipelined FPGA implementation of the Rijndael algorithm (Daemen, 1999), which has been selected as the new AES algorithm…”
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