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Now showing items 11-16 of 16

Development of a Multi-Sensor Fire Detector Based on Machine Learning Models [Makine Öǧrenmesi Modellerine Dayali Çok Sensörlö Bir Yangin Algilayicisi Geliştirilmesi]

Nakip, M.; Guzelis, C. (Proceedings - 2019 Innovations in Intelligent Systems and Applications Conference, ASYU 2019, 2019)

This paper proposes a method to reduce false positive fire alarms by fusing data from different sensors using a specific machine learning model. We design an electronic circuit with 6 sensors to detect 7 physical sensory ...

Comparative study of forecasting schemes for IoT device traffic in machine-to-machine communication

Nakip, M.; Gul, B.C.; Rodoplu, V.; Guzelis, C. (ACM International Conference Proceeding Series, 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 ...

Bifurcation analysis of bistable and oscillatory dynamics in biological networks using the root-locus method

Avcu, N.; Guzelis, C. (IET Systems Biology, 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 ...

An Implementation of Vision Based Deep Reinforcement Learning for Humanoid Robot Locomotion

Ozal, R.; Kaymak, C.; Yildirim, O.; Ucar, A.; Demir, Y.; Guzelis, C. (IEEE International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2019 - Proceedings, 2019)

Deep reinforcement learning (DRL) exhibits a promising approach for controlling humanoid robot locomotion. However, only values relating sensors such as IMU, gyroscope, and GPS are not sufficient robots to learn their ...

Data Dependent Stable Robust Adaptive Controller Design for Altitude Control of Quadrotor Model

Soydemir, M.U.; Alkus, I.; Bulucu, P.; Kocaoglu, A.; Guzelis, C.; Sahin, A.S. (Proceedings of the 2018 18th International Conference on Mechatronics - Mechatronika, ME 2018, 2019)

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 ...

Performance analysis of stable adaptive NARMA controller scheme for furuta pendulum

Bulucu, P.; Soydemir, M.U.; Sahin, S.; Kocaoglu, A.; Guzelis, C. (2019 23rd International Conference on System Theory, Control and Computing, ICSTCC 2019 - Proceedings, 2019)

This paper presents a novel stable adaptive controller scheme for Furuta Pendulum via nonlinear auto-regressive moving-average based plant identification. During online learning for the developed controller, input-output ...