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Toplam kayıt 32, listelenen: 1-10
Two-dimensional polynomial type canonical relaxation oscillator model for p53 dynamics
(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 ...
Aggregation for Computing Multi-Modal Stationary Distributions in 1-D Gene Regulatory Networks
(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 ...
Revealing determinants of two-phase dynamics of P53 network under gamma irradiation based on a reduced 2D relaxation oscillator model
(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, ...
Effect of chaotic mixing on the rheological characterization of mayonnaise
(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 ...
A 2-dimensional model of polynomial type for oscillatory ATM-Wipl dynamics in p53 network
(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 ...
A comparison of feature selection algorithms for cancer classification through gene expression data: Leukemia case
(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 ...
A canonical 3-D P53 network model that determines cell fate by counting pulses
(Istanbul University - Journal of Electrical and Electronics 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 ...
Object recognition and detection with deep learning for autonomous driving applications
(Simulation, 2017)
Autonomous driving requires reliable and accurate detection and recognition of surrounding objects in real drivable environments. Although different object detection algorithms have been proposed, not all are robust enough ...
Online Learning ARMA Controllers with Guaranteed Closed-Loop Stability
(IEEE Transactions on Neural Networks and Learning Systems, 2016)
This paper presents a novel online block adaptive learning algorithm for autoregressive moving average (ARMA) controller design based on the real data measured from the plant. The method employs ARMA input-output models ...
Design and implementation of chaotic system based robust delta robot for blending graphene nanoplatelets
(2016 21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016, 2016)
In this paper, a new blending method for Graphene nanoplatelets was developed. A chaotic system based robust delta robot was designed. Both the speed of the mixer motor and position of the propeller were chaotically changed. ...