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Semantic ScholarMehmet Fatih Akay
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2010 – today
- 2016
[j12]Fatih Abut, Mehmet Fatih Akay, James D. George:
Developing new VO2max prediction models from maximal, submaximal and questionnaire variables using support vector machines combined with feature selection. Comp. in Bio. and Med. 79: 182-192 (2016)- [j11]Mehmet Fatih Akay, Fatih Abut, Mikail Özçiloglu, Dan Heil:
Identifying the discriminative predictors of upper body power of cross-country skiers using support vector machines combined with feature selection. Neural Computing and Applications 27(6): 1785-1796 (2016) - 2015
- [j10]Çigdem Inan Aci, Mehmet Fatih Akay:
A hybrid congestion control algorithm for broadcast-based architectures with multiple input queues. The Journal of Supercomputing 71(5): 1907-1931 (2015) - 2013
- [j9]Elrasheed Ismail Mohommoud Zayid, Mehmet Fatih Akay:
Predicting the performance measures of a message-passing multiprocessor architecture using artificial neural networks. Neural Computing and Applications 23(7-8): 2481-2491 (2013) - [c4]Mustafa Acikkar, Mehmet Fatih Akay, Erman Aktürk, Merve Gulec:
Intelligent regression techniques for non-exercise prediction of VO2max. SIU 2013: 1-4 - [c3]Mehmet Fatih Akay, Erman Aktürk, Aynur Balikci:
VO2max prediction from submaximal exercise test using artificial neural network. SIU 2013: 1-3 - [c2]Mehmet Fatih Akay, Erman Aktürk, Ali Erce Tuncdemir, Nezih Nusret Sen:
Predicting VO2max from submaximal exercise and non-exercise data using artificial neural networks. SIU 2013: 1-4 - [c1]Erman Aktürk, Mehmet Fatih Akay, Hasan Kilitcioglu:
Performance comparison of different regression methods for VO2max estimation. SIU 2013: 1-4 - 2011
- [j8]Mehmet Fatih Akay, Elrasheed Ismail Mohommoud Zayid, Erman Aktürk, James D. George:
Artificial neural network-based model for predicting VO2max from a submaximal exercise test. Expert Syst. Appl. 38(3): 2007-2010 (2011) - 2010
- [j7]Cigdem Inan Aci, Mehmet Fatih Akay:
A new congestion control algorithm for improving the performance of a broadcast-based multiprocessor architecture. J. Parallel Distrib. Comput. 70(9): 930-940 (2010)
2000 – 2009
- 2009
- [j6]Mehmet Fatih Akay:
Support vector machines combined with feature selection for breast cancer diagnosis. Expert Syst. Appl. 36(2): 3240-3247 (2009) - [j5]Mustafa Acikkar, Mehmet Fatih Akay, Kerem Tuncay Ozgunen, Kadir Aydin, Sanli Sadi Kurdak:
Support vector machines for aerobic fitness prediction of athletes. Expert Syst. Appl. 36(2): 3596-3602 (2009) - [j4]Mustafa Acikkar, Mehmet Fatih Akay:
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. 36(3): 7228-7233 (2009) - [j3]Mehmet Fatih Akay, Cigdem Inan Aci, Danielle I. Bradshaw, James D. George:
Support vector regression and multilayer feed forward neural networks for non-exercise prediction of VO2max. Expert Syst. Appl. 36(6): 10112-10119 (2009) - 2008
- [j2]Mehmet Fatih Akay, Constantine Katsinis:
Contention resolution on a broadcast-based distributed shared memory multiprocessor. IET Computers & Digital Techniques 2(1): 45-55 (2008) - [j1]Mehmet Fatih Akay, Constantine Katsinis:
Performance improvement of parallel programs on a broadcast-based distributed shared memory multiprocessor by simulation. Simulation Modelling Practice and Theory 16(3): 338-352 (2008)
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