WoS İndeksli Yayınlar Koleksiyonu by Institution Author "Özmen, Atilla"
Now showing items 1-16 of 16
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Amplitude and Frequency Modulations with Cellular Neural Networks
Tander, Baran; Özmen, Atilla (Springer, 2015)Amplitude and frequency modulations are still the most popular modulation techniques in data transmission at telecommunication systems such as radio and television broadcasting gsm etc. However the architectures of these ... -
Analytical approaches for the amplitude and frequency computations in the astable cellular neural networks with opposite sign templates
Tander, Baran; Özmen, Atilla (IEEE, 2007)In this paper, by using surface fitting methods, analytical approaches for amplitudes and frequencies of the x(1,2)(t) "States" in a simple dynamical neural network called "Cellular Neural Network with Opposite Sign ... -
Application of deep neural network (DNN) for experimental liquid-liquid equilibrium data of water + butyric acid + 5-methyl-2-hexanone ternary systems
Bekri, Sezin; Dilek, Özmen; Aykut, Türkmenoğlu; Atilla, Özmen (Elsevier B.V., 2021)LLE data are important for simulation and design of extraction equipment. In this study, deep neural network (DNN) structure was proposed for modelling of the ternary liquid-liquid equilibrium (LLE). LLE data of (water + ... -
Artificial neural network based estimation of sparse multipath channels in OFDM systems
Şenol, Habib; Abdur Rehman Bin, Tahir; Özmen, Atilla (SPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS, 2021-01)In order to increase the transceiver performance in frequency selective fading channel environment, orthogonal frequency division multiplexing (OFDM) system is used to combat inter-symbol-interference. In this work, a ... -
Channel Equalization with Cellular Neural Networks
Özmen, Atilla; Tander, Baran (IEEE, 2010)In this paper a dynamic neural network structure called Cellular Neural Network (CNN) is employed for the equalization in digital communication. It is shown that this nonlinear system is capable of suppressing the effect ... -
Channel Estimation for Realistic Indoor Optical Wireless Communication in ACO-OFDM Systems
Özmen, Atilla; Şenol, Habib (Springer, 2018)In this paper channel estimation problem in a visible light communication system is considered. The information data is transmitted using asymmetrical clipped optical orthogonal frequency division multiplexing. Channel ... -
Correlation of Experimental Liquid-Liquid Equilibrium Data for Ternary Systems Using NRTL and GMDH-Type Neural Network
Bekri, Sezin; Özmen, Dilek; Özmen, Atilla (Amer Chemical Soc, 2017)In this work liquid liquid equilibrium (LLE) data for the ternary systems (water + propionic acid + solvent) were experimentally obtained at atmospheric pressure and 298.2 K. The ternary systems show type-1 behavior of ... -
Correlation of ternary liquid--liquid equilibrium data using neural network-based activity coefficient model
Özmen, Atilla (Springer, 2014)Liquid--liquid equilibrium (LLE) data are important in chemical industry for the design of separation equipments and it is troublesome to determine experimentally. In this paper a new method for correlation of ternary LLE ... -
Design and Implementation of a Cellular Neural Network Based Oscillator Circuit
Tander, Baran; Özmen, Atilla; Özçelep, Yasin (World Scientific and Engineering Acad and Soc, 2009)In this paper, a novel inductorless oscillator circuit with negative feedbacks, based on a simple version of a "Cellular Neural Network" (CNN) called "CNN with an Opposite Sign Template" (CNN-OST) is designed and implemented. ... -
The Effect of Data Augmentation on ADHD Diagnostic Model using Deep Learning
Çiçek, Gülay; Özmen, Atilla; Akan, Aydin (IEEE, 2019)Attention Deficit Hyperactivity Disorder (ADHD) is a neuro-behavioral hyperactivity disorder. It is frequently seen in childhood and youth, and lasts a lifetime unless treated.The ADHD classification model should be objective ... -
Mobile Application Development for the Estimation of Recurrence in Post-Operative Kidney Cancer Cases
Tander, Baran; Özmen, Atilla; Ozden, Ender (IEEE, 2018)In this paper a post-operative recurrence estimation tool called Sorbellini's nomogram for the kidney cancer patients showing no metastates is introduced and a novel application for mobile devices based on this model is ... -
Neural Network Design for the Recurrence Prediction of Post-Operative Non-Metastatic Kidney Cancer Patients
Tander, Baran; Özmen, Atilla; Özden, Ender (Institute of Electrical and Electronics Engineers Inc., 2016)In this paper various post-operative recurrence estimation models called nomograms for the kidney cancer patients without any metastates are introduced and novel systems based on a Multilayer Perceptron Neural Network are ... -
A numerical method for frequency determination in the astable cellular neural networks with opposite-sign templates
Özmen, Atilla; Tander, Baran (IEEE, 2006)In this study a numerical method is proposed to determine the oscillation frequencies in the astable cellular neural networks with opposite-sign templates [1]. This method depends on the training of a multilayer perceptron ... -
RGB Color Based Occupancy Rate Detection of Indoor Spaces
Gilik, Ayşenur; Demir, Kubilay; Özmen, Atilla (IEEE, 2018)In this study, a system has been developed to detect the human density of indoor spaces such as libraries, banks, shopping malls. The RGB images used in this work was obtained from the real-life space. First and second ... -
Sickle Cell Anemia Detection
Albayrak, Batuhan; Darıcı, Muazzez Buket; Kiracı, Furkan; Öğrenci, Arif Selçuk; Özmen, Atilla; Ertez, Kerem (IEEE, 2018)Anemia is a common name given to falls in oxygen transport capacity due to some of the functional disadvantages of red blood cells. Pathology Laboratorians put the tissue on the microscope glass and try to diagnose Anemia ... -
Smart Stethoscope
Türker, Mehmet Nasuhcan; Çagan, Yagiz Can; Yıldırım, Batuhan; Demirel, Mücahit; Özmen, Atilla; Tander, Baran; Çevik, Mesut (IEEE, 2020)In this study, a device named smart stethoscope that uses digital sensor technology for sound capture, active acoustics for noise cancellation and artificial intelligence (AI) for diagnosis of heart and lung diseases is ...