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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 ...
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 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 ...
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. ...
Discriminant-based bistability analysis of a TMG-induced lac operon model supported with boundedness and local stability results
(Turkish Journal of Electrical Engineering and Computer Sciences, 2016)
This paper presents the results of a theoretical and numerical study on the analysis of bistable behavior of the most studied gene regulatory network, the lac operon, in terms of the model parameters. The boundedness of ...
Bifurcation analysis of bistable and oscillatory dynamics in biological networks using the root-locus method
(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 ...
Learning Feedback Linearization Based Stable Robust Adaptive NARMA Controller Design for Rotary Inverted Pendulum
(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 ...
Investigation of Chaotic Mixing Performance on Characteristic Properties of Cake Batter
(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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