Browsing by Author "Özmen, Atilla"
Now showing items 1-20 of 34
-
Air quality prediction using a hybrid deep learning architecture
Gilik, Ayşenur (Kadir Has Üniversitesi, 2020)Air pollution prediction is related to the variables in environmental monitoring data and modeling of the complex relationship between these variables. The objectives of the thesis are to develop a supervised model for the ... -
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 ... -
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 ... -
Artificial neural network based sparse channel estimation for OFDM systems
Tahir, Abdur Rehman Bin (Kadir Has Üniversitesi, 2017)In order to increase the communication quality in frequency selective fading channel environment, orthogonal frequency division multiplexing (OFDM) systems are used to combat inter-symbol-interference (ISI). In this thesis, ... -
Autonomous vehicle control using reinforcement learning
Bozkurt, Hüma (Kadir Has Üniversitesi, 2020)Autonomous vehicles have become an important research topic where artificial intelligence is applied. As the research increases, by means of the applications of artificial intelligence algorithms in different areas, enable ... -
Bayesian estimation of discrete-time cellular neural network coefficients
Özer, Hakan Metin; Özmen, Atilla; Şenol, Habib (TUBITAK Scientific & Technical Research Council Turkey, 2017)A new method for finding the network coefficients of a discrete-time cellular neural network (DTCNN) is proposed. This new method uses a probabilistic approach that itself uses Bayesian learning to estimate the network ... -
Caching algorithm implementation for edge computing in IoT network
Abduljabbar, Mohammed (Kadir Has Üniversitesi, 2020)The developing IoT concept brings new challenges to the service providers. The architecture of the networks changes to satisfy the needs arising by the large number of connected devices. Edge computing is the new architectural ... -
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 ... -
Computation of two-variable mixed element network functions
Tabassum, Nauman (Kadir Has Üniversitesi, 2017)in this dissertation the algorithm known as “Standard Decomposition Technique (SDT)” is used together with Belevitch’s canonic representation of scattering polynomial for two-port networks operate on high frequency to ... -
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. ... -
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 ... -
Design of low-pass ladder networks with mixed lumped and distributed elements by means of artificial neural networks
Şengül, Metin Y.; Özmen, Atilla; Yılmaz, Melek (AVES YAYINCILIK, 2003)In this paper, calculation of parameters of low-pass ladder networks with mixed lumped and distributed elements by means of artificial neural networks is given. The results of ANN are compared with the values that are ... -
Detection of Trojans in integrated circuits
Baktır, Selçuk; Güçlüoğlu, Tansal; Özmen, Atilla; Alsan, Hüseyin Fuat; Macit, Mustafa Can (IEEE, 2012)This paper presents several signal processing approaches in Trojan detection problem in very large scale integrated circuits. Specifically wavelet transforms spectrograms and neural networks are used to analyze power ... -
Edge detection using steerable filters and CNN
Özmen, Atilla; Akman, Emir Tufan (European Signal Processing Conference EUSIPCO, 2002)This paper proposes a new approach for edge detection using steerable filters and cellular neural networks (CNNs) where the former yields the local direction of dominant orientation and the latter provides iterative ... -
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 ... -
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 ...