Browsing by Author "Tander, Baran"
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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 ... -
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 ... -
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. ... -
Design and implementation of a negative feedback oscillator circuit based on a Cellular Neural Network with an Opposite Sign Template
Tander, Baran; Özmen, Atilla; Özçelep, Yasin (2010)In this paper explicit amplitude and frequency expressions for a Cellular Neural Network with an Opposite-Sign Template (CNN-OST) under oscillation condition are derived and a novel inductorless oscillator circuit with ... -
Estimation of energy production in biogas plants
YURTEKİN, ŞEVVAL AYŞE (Kadir Has Üniversitesi, 2023-01)The importance of renewable energy sources is getting more and more significant day by day. Renewable energies are required since the world's energy consumption is rising in tandem with the human population. The gas produced ... -
Hücresel sinir ağları için gerilim kaynaklı hücre modelleri
Tander, Baran; Ün, Mahmut (AVES YAYINCILIK, 2001)Bu makalede, bağımsız ve bağımlı gerilim kaynağı tabanlı yeni bir Hücresel Sinir Ağı hücre devresi önerilmiştir. Bu modelde akım kaynaklı Chua ve Yang ‘ın klasik hücre devresinin aksine hücreler için denge noktaları dinamik ... -
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 ... -
Simple and accurate cell macromodels for the simulations of Cellular Neural Networks
Tander, Baran; Ün, Mahmut (AVES YAYINCILIK, 2002)In this paper, two simple and accurate cell macromodels for PSPICE simulations of Cellular Neural Networks (CNNs) are designed. Firstly, a brief information about CNNs and their benefits are introduced. Then the nonlinear ... -
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 ...