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Object recognition and detection with deep learning for autonomous driving applications

Simulation (San Diego, Calif.), 2017-09, Vol.93 (9), p.759-769

2017

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A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering

Neural computing & applications, 2016-01, Vol.27 (1), p.131-142

2016

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Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network

Applied energy, 2023-06, Vol.340, p.121014, Article 121014

2023

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

IET systems biology, 2019-12, Vol.13 (6), p.333-345

2019

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Development of a New Robust Stable Walking Algorithm for a Humanoid Robot Using Deep Reinforcement Learning with Multi-Sensor Data Fusion

Electronics (Basel), 2023-01, Vol.12 (3), p.568

2023

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New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration

Cluster computing, 2022-06, Vol.25 (3), p.1575-1590

2022

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New convolutional neural network models for efficient object recognition with humanoid robots

Journal of information and telecommunication (Print), 2022-01, Vol.6 (1), p.63-82

2022

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Two-dimensional polynomial type canonical relaxation oscillator model for p53 dynamics

IET systems biology, 2018-08, Vol.12 (4), p.138-147

2018

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Learning Stable Robust Adaptive NARMA Controller for UAV and Its Application to Twin Rotor MIMO Systems

Neural processing letters, 2020-08, Vol.52 (1), p.353-383

2020

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Coupling of cell fate selection model enhances DNA damage response and may underlie BE phenomenon

IET systems biology, 2020-04, Vol.14 (2), p.96-106

2020

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Exploiting Chaos in Learning System Identification for Nonlinear State Space Models

Neural processing letters, 2015-02, Vol.41 (1), p.29-41

2015

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

IET systems biology, 2018-02, Vol.12 (1), p.26-38

2018

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Automatic spike detection in EEG by a two-stage procedure based on support vector machines

Computers in biology and medicine, 2004-10, Vol.34 (7), p.561-575

2004

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

Electrica, 2018-12, Vol.18 (2), p.284-291

2018

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Automatic recognition of sleep spindles in EEG by using artificial neural networks

Expert systems with applications, 2004-10, Vol.27 (3), p.451-458

2004

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Fire detection and risk assessment via Support Vector Regression with Flattening-Samples Based Augmented Regularization

Applied soft computing, 2024-10, Vol.164, p.112023, Article 112023

2024

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A penalty function method for designing efficient robust classifiers with input space optimal separating surfaces

Elektrik : Turkish journal of electrical engineering & computer sciences, 2014, Vol.22, p.1664-1685

2014

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Model-based robust chaotification using sliding mode control

Elektrik : Turkish journal of electrical engineering & computer sciences, 2014, Vol.22, p.940-956

2014

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Data fusion integrated network forecasting scheme classifier (DFI-NFSC) via multi-layer perceptron decomposition architecture

Internet of things (Amsterdam. Online), 2024-12, Vol.28, p.101341, Article 101341

2024

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Development of a deep wavelet pyramid scene parsing semantic segmentation network for scene perception in indoor environments

Journal of ambient intelligence and humanized computing, 2023-09, Vol.14 (9), p.12673-12695

2023

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Discriminant-based bistability analysis of a TMG-induced lac operon model supported with boundedness and local stability results

Elektrik : Turkish journal of electrical engineering & computer sciences, 2016, Vol.24, p.719-732

2016

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A Higher-Order Neural Network Design for Improving Segmentation Performance in Medical Image Series

Journal of physics. Conference series, 2014-01, Vol.490 (1), p.12079-4

2014

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Online learning of stable robust adaptive controllers design based on data-dependent feedback linearization with application to rotary inverted pendulum

Neural computing & applications, 2024-06, Vol.36 (18), p.10881-10896

2024

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Dynamic Automatic Forecaster Selection via Artificial Neural Network Based Emulation to Enable Massive Access for the Internet of Things

Journal of network and computer applications, 2022-05, Vol.201, p.103360, Article 103360

2022

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An Application of Support Vector Machine in Bioinformatics: Automated Recognition of Epileptiform Patterns in EEG Using SVM Classifier Designed by a Perturbation Method

Advances in Information Systems, 2004, p.462-471

2004

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Object recognition and detection with deep learning for autonomous driving applications

A new facial expression recognition based on curvelet transform and online sequential extreme learning machine initialized with spherical clustering

Renewable energy management in smart home environment via forecast embedded scheduling based on Recurrent Trend Predictive Neural Network

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

Development of a New Robust Stable Walking Algorithm for a Humanoid Robot Using Deep Reinforcement Learning with Multi-Sensor Data Fusion

New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration

New convolutional neural network models for efficient object recognition with humanoid robots

Two-dimensional polynomial type canonical relaxation oscillator model for p53 dynamics

Learning Stable Robust Adaptive NARMA Controller for UAV and Its Application to Twin Rotor MIMO Systems

Coupling of cell fate selection model enhances DNA damage response and may underlie BE phenomenon

Exploiting Chaos in Learning System Identification for Nonlinear State Space Models

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

Automatic spike detection in EEG by a two-stage procedure based on support vector machines

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

Automatic recognition of sleep spindles in EEG by using artificial neural networks

Fire detection and risk assessment via Support Vector Regression with Flattening-Samples Based Augmented Regularization

A penalty function method for designing efficient robust classifiers with input space optimal separating surfaces

Model-based robust chaotification using sliding mode control

Data fusion integrated network forecasting scheme classifier (DFI-NFSC) via multi-layer perceptron decomposition architecture

Development of a deep wavelet pyramid scene parsing semantic segmentation network for scene perception in indoor environments

Discriminant-based bistability analysis of a TMG-induced lac operon model supported with boundedness and local stability results

A Higher-Order Neural Network Design for Improving Segmentation Performance in Medical Image Series

Online learning of stable robust adaptive controllers design based on data-dependent feedback linearization with application to rotary inverted pendulum

Dynamic Automatic Forecaster Selection via Artificial Neural Network Based Emulation to Enable Massive Access for the Internet of Things

An Application of Support Vector Machine in Bioinformatics: Automated Recognition of Epileptiform Patterns in EEG Using SVM Classifier Designed by a Perturbation Method

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