Mehmet Fatih Akay

30 papers Journal 19Unranked 11

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Harnessing AI for Health: Optimized Neural Network Models for Resting Metabolic Rate Prediction. IEEE Access Fatih Abut, Ezgi Akça, Mehmet Fatih Akay, Mustafa Irmak, Müzda Irmak, Yildirim Adigüzel
2019	J	`jnl`	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. Fatih Abut, Mehmet Fatih Akay, James D. George
2017	J	`jnl`	Support vector machines for predicting the hamstring and quadriceps muscle strength of college-aged athletes. Turkish J. Electr. Eng. Comput. Sci. Mehmet Fatih Akay, Fatih Abut, Ebru Çetin, Imdat Yarim, Boubacar Sow
2016	J	`jnl`	Developing new VO Comput. Biol. Medicine Fatih Abut, Mehmet Fatih Akay, James D. George
2016	J	`jnl`	Identifying the discriminative predictors of upper body power of cross-country skiers using support vector machines combined with feature selection. Neural Comput. Appl. Mehmet Fatih Akay, Fatih Abut, Mikail Özçiloglu, Dan Heil
2015	J	`jnl`	A hybrid congestion control algorithm for broadcast-based architectures with multiple input queues. J. Supercomput. Çigdem Inan Aci, Mehmet Fatih Akay
2015	—	`conf`	Determination of the variables affecting the maximal oxygen uptake of cross-country skiers by using machine learning and feature selection algorithms. SIU Fatih Abut, Mehmet Fatih Akay
2015	—	`conf`	Development of new non-exercise maximum oxygen uptake models by using different machine learning methods. SIU Esin Genc, Mehmet Fatih Akay
2015	—	`conf`	Development of new upper body power prediction models for cross-country skiers by using different machine learning methods. SIU Shahaboddin Daneshvar, Fatih Abut, Incilay Yildiz, Mehmet Fatih Akay
2015	—	`conf`	Performance comparison of different regression methods for maximal oxygen uptake estimation of cross-country skiers. SIU Gozde Ozsert, Mehmet Fatih Akay
2015	—	`conf`	Predicting upper body power of cross-country skiers using machine learning methods combined with feature selection. SIU Derman Akgol, Mehmet Fatih Akay
2015	—	`conf`	Prediction of maximum oxygen uptake with different machine learning methods by using submaximal data. SIU Incilay Yildiz, Mehmet Fatih Akay
2013	—	`conf`	Intelligent regression techniques for non-exercise prediction of VO2max. SIU Mustafa Açikkar, Mehmet Fatih Akay, Erman Aktürk, Merve Gulec
2013	—	`conf`	Neural network based VO2max prediction models using maximal exercise and non-exercise data. SIU Ece Aktarla, Mehmet Fatih Akay, Erman Aktürk, Mustafa Açikkar
2013	—	`conf`	Performance comparison of different regression methods for VO2max estimation. SIU Erman Aktürk, Mehmet Fatih Akay, Hasan Kilitcioglu
2013	—	`conf`	Predicting VO2max from submaximal exercise and non-exercise data using artificial neural networks. SIU Mehmet Fatih Akay, Erman Aktürk, Ali Erce Tuncdemir, Nezih Nusret Sen
2013	J	`jnl`	Predicting the performance measures of a message-passing multiprocessor architecture using artificial neural networks. Neural Comput. Appl. Elrasheed Ismail Mohommoud Zayid, Mehmet Fatih Akay
2013	—	`conf`	VO2max prediction from submaximal exercise test using artificial neural network. SIU Mehmet Fatih Akay, Erman Aktürk, Aynur Balikci
2011	J	`jnl`	Artificial neural network-based model for predicting VO Expert Syst. Appl. Mehmet Fatih Akay, Elrasheed Ismail Mohommoud Zayid, Erman Aktürk, James D. George
2010	J	`jnl`	A new congestion control algorithm for improving the performance of a broadcast-based multiprocessor architecture. J. Parallel Distributed Comput. Cigdem Inan Aci, Mehmet Fatih Akay
2010	J	`jnl`	Application of self organizing maps for investigating network latency on a broadcast-based distributed shared memory multiprocessor. Expert Syst. Appl. Mehmet Fatih Akay, Ipek Abasikeles, Mustafa Oral
2010	J	`jnl`	Performance evaluation of directory protocols on an optical broadcast-based distributed shared memory multiprocessor. Comput. Electr. Eng. Ipek Abasikeles, Mehmet Fatih Akay
2010	J	`jnl`	Predicting the performance measures of an optical distributed shared memory multiprocessor by using support vector regression. Expert Syst. Appl. Mehmet Fatih Akay, Ipek Abasikeles
2009	J	`jnl`	Support vector machines combined with feature selection for breast cancer diagnosis. Expert Syst. Appl. Mehmet Fatih Akay
2009	J	`jnl`	Support vector machines for aerobic fitness prediction of athletes. Expert Syst. Appl. Mustafa Açikkar, Mehmet Fatih Akay, Kerem Tuncay Ozgunen, Kadir Aydin, Sanli Sadi Kurdak
2009	J	`jnl`	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. Mustafa Açikkar, Mehmet Fatih Akay
2009	J	`jnl`	Support vector regression and multilayer feed forward neural networks for non-exercise prediction of VO Expert Syst. Appl. Mehmet Fatih Akay, Cigdem Inan Aci, Danielle I. Bradshaw, James D. George
2008	J	`jnl`	Contention resolution on a broadcast-based distributed shared memory multiprocessor. IET Comput. Digit. Tech. Mehmet Fatih Akay, Constantine Katsinis
2008	J	`jnl`	Performance improvement of parallel programs on a broadcast-based distributed shared memory multiprocessor by simulation. Simul. Model. Pract. Theory Mehmet Fatih Akay, Constantine Katsinis
2002	J	`jnl`	Measurement and monitoring of microwave reflection and transmission properties of cement-based specimens. IEEE Trans. Instrum. Meas. Sergey N. Kharkovsky, Mehmet Fatih Akay, Ugur Cem Hasar, Cengiz Duran Atis