Mehmet Fatih Akay

Orcid: 0000-0003-0780-0679

According to our database1, Mehmet Fatih Akay authored at least 30 papers between 2002 and 2024.

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

Timeline

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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

Performance comparison of different regression methods for VO2max estimation.
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

VO2max prediction from submaximal exercise test using artificial neural network.
Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Intelligent regression techniques for non-exercise prediction of VO2max.
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

Support vector machines combined with feature selection for breast cancer diagnosis.
Expert Syst. Appl., 2009

Support vector machines for aerobic fitness prediction of athletes.
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

Contention resolution on a broadcast-based distributed shared memory multiprocessor.
IET Comput. Digit. Tech., 2008

2002
Measurement and monitoring of microwave reflection and transmission properties of cement-based specimens.
IEEE Trans. Instrum. Meas., 2002


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