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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 ...
A Multiscale Algorithm for Joint Forecasting-Scheduling to Solve the Massive Access Problem of IoT
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2020)
The massive access problem of the Internet of Things (IoT) is the problem of enabling the wireless access of a massive number of IoT devices to the wired infrastructure. In this article, we describe a multiscale algorithm ...
Conditional Weighted Ensemble of Transferred Models for Camera Based Onboard Pedestrian Detection in Railway Driver Support Systems
(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 ...
Coupling of cell fate selection model enhances DNA damage response and may underlie BE phenomenon
(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 ...
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 ...
Design of microcontroller-based decentralized controller board to drive chiller systems using PID and fuzzy logic algorithms
(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 ...
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 ...
Multi-Sensor Fire Detector based on Trend Predictive Neural Network
(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 ...
Comparative Study of Forecasting Schemes for IoT Device Traffic in Machine-to-Machine Communication
(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 ...
Two-dimensional polynomial type canonical relaxation oscillator model for p53 dynamics
(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 ...
Revealing determinants of two-phase dynamics of P53 network under gamma irradiation based on a reduced 2D relaxation oscillator model
(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, ...
A Canonical 3-D P53 Network Model that Determines Cell Fate by Counting Pulses
(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 ...
Object recognition and detection with deep learning for autonomous driving applications
(SAGE PUBLICATIONS LTD, 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 ...