Mehmet Fatih Akay
Orcid: 0000-0003-0780-0679
According to our database1,
Mehmet Fatih Akay
authored at least 30 papers
between 2002 and 2024.
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Bibliography
2024
Harnessing AI for Health: Optimized Neural Network Models for Resting Metabolic Rate Prediction.
IEEE Access, 2024
2019
A robust ensemble feature selector based on rank aggregation for developing new VO2max prediction models using support vector machines.
Turkish J. Electr. Eng. Comput. Sci., 2019
2017
Support vector machines for predicting the hamstring and quadriceps muscle strength of college-aged athletes.
Turkish J. Electr. Eng. Comput. Sci., 2017
2016
Identifying the discriminative predictors of upper body power of cross-country skiers using support vector machines combined with feature selection.
Neural Comput. Appl., 2016
Developing new VO<sub>2</sub>max prediction models from maximal, submaximal and questionnaire variables using support vector machines combined with feature selection.
Comput. Biol. Medicine, 2016
2015
A hybrid congestion control algorithm for broadcast-based architectures with multiple input queues.
J. Supercomput., 2015
Prediction of maximum oxygen uptake with different machine learning methods by using submaximal data.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Performance comparison of different regression methods for maximal oxygen uptake estimation of cross-country skiers.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Development of new non-exercise maximum oxygen uptake models by using different machine learning methods.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Development of new upper body power prediction models for cross-country skiers by using different machine learning methods.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Predicting upper body power of cross-country skiers using machine learning methods combined with feature selection.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
Determination of the variables affecting the maximal oxygen uptake of cross-country skiers by using machine learning and feature selection algorithms.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015
2013
Predicting the performance measures of a message-passing multiprocessor architecture using artificial neural networks.
Neural Comput. Appl., 2013
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013
Neural network based VO2max prediction models using maximal exercise and non-exercise data.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013
Predicting VO2max from submaximal exercise and non-exercise data using artificial neural networks.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013
2011
Artificial neural network-based model for predicting VO<sub>2</sub>max from a submaximal exercise test.
Expert Syst. Appl., 2011
2010
A new congestion control algorithm for improving the performance of a broadcast-based multiprocessor architecture.
J. Parallel Distributed Comput., 2010
Application of self organizing maps for investigating network latency on a broadcast-based distributed shared memory multiprocessor.
Expert Syst. Appl., 2010
Predicting the performance measures of an optical distributed shared memory multiprocessor by using support vector regression.
Expert Syst. Appl., 2010
Performance evaluation of directory protocols on an optical broadcast-based distributed shared memory multiprocessor.
Comput. Electr. Eng., 2010
2009
Support vector regression and multilayer feed forward neural networks for non-exercise prediction of VO<sub>2</sub>max.
Expert Syst. Appl., 2009
Expert Syst. Appl., 2009
Expert Syst. Appl., 2009
Support vector machines for predicting the admission decision of a candidate to the School of Physical Education and Sports at Cukurova University.
Expert Syst. Appl., 2009
2008
Performance improvement of parallel programs on a broadcast-based distributed shared memory multiprocessor by simulation.
Simul. Model. Pract. Theory, 2008
IET Comput. Digit. Tech., 2008
2002
Measurement and monitoring of microwave reflection and transmission properties of cement-based specimens.
IEEE Trans. Instrum. Meas., 2002