Nejat Yumusak

Orcid: 0000-0001-5005-8604

According to our database1, Nejat Yumusak authored at least 27 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
TfrAdmCov: a robust transformer encoder based model with Adam optimizer algorithm for COVID-19 mutation prediction.
Connect. Sci., December, 2024

COVID-19 virus mutation prediction with LSTM and attention mechanisms.
Comput. J., 2024

2022
Detection and classification of white blood cells with an improved deep learning-based approach.
Turkish J. Electr. Eng. Comput. Sci., 2022

2021
Impact of image segmentation techniques on celiac disease classification using scale invariant texture descriptors for standard flexible endoscopic systems.
Turkish J. Electr. Eng. Comput. Sci., 2021

2019
Alcohol QCM Sensor Dataset.
Dataset, July, 2019

2017
Design optimization of distribution transformers with nature-inspired metaheuristics: a comparative analysis.
Turkish J. Electr. Eng. Comput. Sci., 2017

Discrete design optimization of distribution transformers with guaranteed optimum convergence using the cuckoo search algorithm.
Turkish J. Electr. Eng. Comput. Sci., 2017

Na\"ıve forecasting of household natural gas consumption with sliding window approach.
Turkish J. Electr. Eng. Comput. Sci., 2017

Development of smart gas sensor system to classify binary gas mixtures.
Proceedings of the IEEE EUROCON 2017 -17th International Conference on Smart Technologies, 2017

2016
Classification of E-Nose Aroma Data of Four Fruit Types by ABC-Based Neural Network.
Sensors, 2016

2012
Diagnosis of chest diseases using artificial immune system.
Expert Syst. Appl., 2012

2011
Tuberculosis Disease Diagnosis Using Artificial Neural Network Trained with Genetic Algorithm.
J. Medical Syst., 2011

2010
Chest diseases diagnosis using artificial neural networks.
Expert Syst. Appl., 2010

2009
A study on industrial robotic manipulator model using model based predictive controls.
J. Intell. Manuf., 2009

A comparative study on diabetes disease diagnosis using neural networks.
Expert Syst. Appl., 2009

2006
Application of neural generalized predictive control to robotic manipulators with a cubic trajectory and random disturbances.
Robotics Auton. Syst., 2006

2005
Ensemble of SVMs for Incremental Learning.
Proceedings of the Multiple Classifier Systems, 6th International Workshop, 2005

Classification of Volatile Organic Compounds with Incremental SVMs and RBF Networks.
Proceedings of the Computer and Information Sciences, 2005

Reducing the Effect of Out-Voting Problem in Ensemble Based Incremental Support Vector Machines.
Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004
Elman's Recurrent Neural Networks Using Resilient Back Propagation for Harmonic Detection.
Proceedings of the PRICAI 2004: Trends in Artificial Intelligence, 2004

An Application of Elman's Recurrent Neural Networks to Harmonic Detection.
Proceedings of the Innovations in Applied Artificial Intelligence, 2004

A Study on Neural Networks with Tapped Time Delays: Gas Concentration Estimation.
Proceedings of the Computational Science and Its Applications, 2004

A Study on Neural Networks Using Taylor Series Expansion of Sigmoid Activation Function.
Proceedings of the Computational Science and Its Applications, 2004

Model Based Predictive Robotic Manipulator Control with Sinusoidal Trajectory and Random Disturbances.
Proceedings of the Artificial Intelligence and Soft Computing, 2004

Harmonic Detection Using Neural Networks with Conjugate Gradient Algorithm.
Proceedings of the Artificial Intelligence: Methodology, 2004

2003
Effects of the Trajectory Planning on the Model Based Predictive Robotic Manipulator Control.
Proceedings of the Computer and Information Sciences, 2003

Fuzzy Logic and Neural Network Applications on the Gas Sensor Data: Concentration Estimation.
Proceedings of the Computer and Information Sciences, 2003


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