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A Canonical 3-D P53 Network Model that Determines Cell Fate by Counting Pulses 

Demirkiran, G.; Demir, G.K.; Guzelis, C. (ISTANBUL UNIV, FAC ENGINEERING, 2018)
From a system theory perspective, p53 network dynamics is interesting since it can exhibit three dynamical modes of p53, namely low-level equilibrium, oscillation, and high-level equilibrium. Each of these modes are ...
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Two-dimensional polynomial type canonical relaxation oscillator model for p53 dynamics 

Demirkiran, G.; Demir, G.K.; Guzelis, C. (INST ENGINEERING TECHNOLOGY-IET, 2018)
p53 network, which is responsible for DNA damage response of cells, exhibits three distinct qualitative behaviours; low state, oscillation and high state, which are associated with normal cell cycle progression, cell cycle ...
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Aggregation for Computing Multi-Modal Stationary Distributions in 1-D Gene Regulatory Networks 

Avcu, N.; Pekergin, N.; Pekergin, F.; Guzelis, C. (IEEE COMPUTER SOC, 2018)
This paper proposes aggregation-based, three-stage algorithms to overcome the numerical problems encountered in computing stationary distributions and mean first passage times for multi-modal birth-death processes of large ...
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Revealing determinants of two-phase dynamics of P53 network under gamma irradiation based on a reduced 2D relaxation oscillator model 

Demirkiran, G.; Demir, G.K.; Guzelis, C. (INST ENGINEERING TECHNOLOGY-IET, 2018)
This study proposes a two-dimensional (2D) oscillator model of p53 network, which is derived via reducing the multidimensional two-phase dynamics model into a model of ataxia telangiectasia mutated (ATM) and Wip1 variables, ...
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Data Dependent Stable Robust Adaptive Controller Design for Altitude Control of Quadrotor Model 

Soydemir, M.U.; Alkus, I.; Bulucu, P.; Kocaoglu, A.; Guzelis, C. (IEEE, 2018)
This paper presents Nonlinear Auto Regressive Moving Average (NARMA) based stable robust adaptive controller design. Both the plant and the closed-loop controller systems are modelled by the proposed NARMA based input-output ...
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Conditional Weighted Ensemble of Transferred Models for Camera Based Onboard Pedestrian Detection in Railway Driver Support Systems 

Toprak, T.; Belenlioglu, B.; Aydin, B.; Guzelis, C.; Selver, M.A. (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020)
Pedestrian Detection (PD) is one of the most studied issues of driver assistance systems. Although a tremendous effort is already given to create datasets and to develop classifiers for cars, studies about railway systems ...
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Learning Stable Robust Adaptive NARMA Controller for UAV and Its Application to Twin Rotor MIMO Systems 

Bulucu, P.; Soydemir, M.U.; Sahin, S.; Kocaoglu, A.; Guzelis, C. (SPRINGER, 2020)
This study presents a nonlinear auto-regressive moving average (NARMA) based online learning controller algorithm providing adaptability, robustness and the closed loop system stability. Both the controller and the plant ...
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Coupling of cell fate selection model enhances DNA damage response and may underlie BE phenomenon 

Demirkiran, G.; Demir, G.K.; Guzelis, C. (INST ENGINEERING TECHNOLOGY-IET, 2020)
Double-strand break-induced (DSB) cells send signal that induces DSBs in neighbour cells, resulting in the interaction among cells sharing the same medium. Since p53 network gives oscillatory response to DSBs, such interaction ...
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Bifurcation analysis of bistable and oscillatory dynamics in biological networks using the root-locus method 

Avcu, N.; Guzelis, C. (INST ENGINEERING TECHNOLOGY-IET, 2019)
Most of the biological systems including gene regulatory networks can be described well by ordinary differential equation models with rational non-linearities. These models are derived either based on the reaction kinetics ...
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Design of microcontroller-based decentralized controller board to drive chiller systems using PID and fuzzy logic algorithms 

Isler, Y.; Sahin, S.; Ekren, O.; Guzelis, C. (SAGE PUBLICATIONS LTD, 2020)
This study deals with designing a decentralized multi-input multi-output controller board based on a low-cost microcontroller, which drives both parts of variable-speed scroll compressor and electronic-type expansion valve ...
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Learning Feedback Linearization Based Stable Robust Adaptive NARMA Controller Design for Rotary Inverted Pendulum 

Soydemir, M.U.; Sahin, S.; Bulucu, P.; Kocaoglu, A.; Guzelis, C. (IEEE, 2019)
This paper presents a Learning Feedback Linearization (LFL) based Nonlinear Auto-Regressive Moving Average (NARMA) controller design for a ROTary inverted PENdulum (ROTPEN) plant. The proposed NARMA controller comprises ...
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Investigation of Chaotic Mixing Performance on Characteristic Properties of Cake Batter 

Uzel, R.A.; Izmir, T.T.; Demirkiran, G.; Sahin, S.; Guzelis, C. (IEEE, 2019)
Chaotification is the process of making an originally non chaotic system being chaotic by applying a suitable control input. The aim of the study was to create a chaotic mixing mechanism using a kitchen type mixer and to ...
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Multi-Sensor Fire Detector based on Trend Predictive Neural Network 

Nakip, M.; Guzelis, C. (IEEE, 2019)
In this paper, we propose a Trend Predictive Neural Network (TPNN) model, which uses the sensor data and the trend of that data in order to classify the fire situation. We implemented TPNN for data of multi-sensor fire ...
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Comparative Study of Forecasting Schemes for IoT Device Traffic in Machine-to-Machine Communication 

Nakip, M.; Gul, B.C.; Rodoplu, V.; Guzelis, C. (ASSOC COMPUTING MACHINERY, 2019)
We present a comparative study of Autoregressive Integrated Moving Average (ARIMA), Multi-Layer Perceptron (MLP), 1-Dimensional Convolutional Neural Network (1-D CNN), and Long-Short Term Memory (LSTM) models on the problem ...
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Two-dimensional polynomial type canonical relaxation oscillator model for p53 dynamics 

Demirkiran, G.; Demir, G.K.; Guzelis, C. (IET Systems Biology, 2018)
p53 network, which is responsible for DNA damage response of cells, exhibits three distinct qualitative behaviours; low state, oscillation and high state, which are associated with normal cell cycle progression, cell cycle ...
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Aggregation for Computing Multi-Modal Stationary Distributions in 1-D Gene Regulatory Networks 

Avcu, N.; Pekergin, N.; Pekergin, F.; Guzelis, C. (IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2018)
This paper proposes aggregation-based, three-stage algorithms to overcome the numerical problems encountered in computing stationary distributions and mean first passage times for multi-modal birth-death processes of large ...
Thumbnail

Revealing determinants of two-phase dynamics of P53 network under gamma irradiation based on a reduced 2D relaxation oscillator model 

Demirkiran, G.; Demir, G.K.; Guzelis, C. (IET Systems Biology, 2018)
This study proposes a two-dimensional (2D) oscillator model of p53 network, which is derived via reducing the multidimensional two-phase dynamics model into a model of ataxia telangiectasia mutated (ATM) and Wip1 variables, ...
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Effect of chaotic mixing on the rheological characterization of mayonnaise 

Genc, S.; Izmir, T.T.; Uzel, R.A.; Demirkiran, G.; Sahin, S.; Guzelis, C. (2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017, 2018)
In this study, a new mixing method for mayonnaise was developed. A chaotic hand mixer was designed. The speed of the mixer rotor was chaotically changed with the proposed method. Performance of the mixed mayonnaise was ...
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A 2-dimensional model of polynomial type for oscillatory ATM-Wipl dynamics in p53 network 

Demirkiran, G.; Demir, G.K.; Guzelis, C. (2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017, 2018)
Under gamma irradiation, p53 gene regulatory network is able to exhibit three different modes, namely low state, oscillations, and high state. There are experimental studies demonstrating that oscillatory behaviour of p53 ...
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A comparison of feature selection algorithms for cancer classification through gene expression data: Leukemia case 

Tasci, A.; Ince, T.; Guzelis, C. (2017 10th International Conference on Electrical and Electronics Engineering, ELECO 2017, 2018)
In this study, three different feature selection algorithms are compared using Support Vector Machines as classifier for cancer classification through gene expression data. The ability of feature selection algorithms to ...
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Guzelis, C. (59)
Demirkiran, G. (16)Sahin, S. (13)Demir, G.K. (12)Nakip, M. (9)Bulucu, P. (8)Kocaoglu, A. (8)Soydemir, M.U. (8)Avcu, N. (6)Rodoplu, V. (6)... View MoreSubjectHumanoid robots (3)Convolution neural networks (2)Forecasting (2)Artificial Neural Network (ANN) (1)Computer architecture (1)DDPG (1)Deep semantic segmentation (1)DQN (1)Feature extraction (1)Fire detection (1)... View MoreDate Issued2020 - 2021 (16)2010 - 2019 (42)2007 - 2009 (1)Has File(s)No (52)Yes (7)

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