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Fatih Abut
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Machine learning and statistical methods for the prediction of maximal oxygen uptake: recent advances
F Abut, MF Akay
Medical Devices (Auckland, NZ) 8, 369, 2015
412015
Developing new VO2max prediction models from maximal, submaximal and questionnaire variables using support vector machines combined with feature selection
F Abut, MF Akay, J George
Computers in biology and medicine 79, 182-192, 2016
332016
Identifying the discriminative predictors of upper body power of cross-country skiers using support vector machines combined with feature selection
MF Akay, F Abut, M Özçiloğlu, D Heil
Neural Computing and Applications 27 (6), 1785-1796, 2016
242016
Prediction of upper body power of cross-country skiers using support vector machines
MF Akay, F Abut, S Daneshvar, D Heil
Arabian Journal for Science and Engineering 40 (4), 1045-1055, 2015
142015
Predicting the performance measures of a 2-dimensional message passing multiprocessor architecture by using machine learning methods
MF Akay, ÇI Aci, F Abut
Neural Network World 25 (3), 241, 2015
112015
Support vector machines for predicting the hamstring and quadriceps muscle strength of college-aged athletes
MF Akay, F Abut, E Cetin, I Yarim, B Sow
Turkish Journal of Electrical Engineering & Computer Sciences 25 (4), 2567-2582, 2017
92017
An Experimental Evaluation of Tools for Estimating Bandwidth-Related Metrics.
F Abut, M Leischner
International Journal of Computer Network & Information Security 10 (7), 2018
62018
Using support vector machines to predict maximal oxygen uptake with the help of questionnaire variables
MF Akay, F Abut, J Georg
International Symposium on Engineering, Artificial Intelligence and …, 2014
62014
New regression equations for estimating the maximal oxygen uptake of college of physical education and sports students in Turkey
MF Akay, F Abut, K Kaya, E Cetin, I Yarim
New Trends and Issues Proceedings on Humanities and Social Sciences 3 (3), 11-17, 2017
52017
Determination of the variables affecting the maximal oxygen uptake of cross-country skiers by using machine learning and feature selection algorithms
F Abut, MF Akay
2015 23nd Signal Processing and Communications Applications Conference (SIU …, 2015
52015
Investigating the Effects of Maximum Oxygen Uptake and Maximum Heart Rate Variables on the Prediction of Upper Body Power of Cross-Country Skiers Using Support Vector Machines
MF Akay, F Abut, TE Sanli, D Heil
Second International Symposium on Engineering, Artificial Intelligence …, 2014
52014
Prediction of maximal oxygen uptake of cross-country skiers using different regression methods
MF Akay, F Abut, S Daneshvar, D Heil
International Symposium on Engineering, Artificial Intelligence and …, 2014
52014
Comparison of CoAP and CoCoA congestion control mechanisms in grid network topologies
AK Demir, F Abut
Gümüşhane Üniversitesi Fen Bilimleri Enstitüsü Dergisi 8 (ÖZEL SAYI), 53-60, 2018
42018
Performance comparison of different machine learning methods for prediction of maximal oxygen uptake from submaximal data
F Abut, MF Akay, I Yildiz, JD George
Proceedings of the Eighth Engineering and Technology Symposium, Ankara, 367-370, 2015
42015
A robust ensemble feature selector based on rank aggregation for developing new VO2max prediction models using support vector machines.
F Abut, MF Akay, J George
Turkish Journal of Electrical Engineering & Computer Sciences 27 (5), 2019
32019
A distributed measurement architecture for inferring TCP round-trip times through passive measurements
A Fatih
Turkish Journal of Electrical Engineering & Computer Sciences 27 (3), 2106-2120, 2019
32019
Support Vector Machines for Prediction of Endurance Times Involving Isometric Side Bridge Exercise Test
F Abut, MF Akay, B Sow, JD George
Third International Symposium on Engineering, Artificial Intelligence …, 2015
32015
Towards a Generic Classification and Evaluation Scheme for Bandwidth Measurement Tools
F Abut
Signals Telecommun. J 1 (2), 78-88, 2012
32012
mlCoCoA: a machine learning-based congestion control for CoAP.
AK Demir, F Abut
Turkish Journal of electrical engineering & computer sciences 28 (5), 2020
22020
Through the diversity of bandwidth-related metrics, estimation techniques and tools: an overview
F Abut
International Journal of Computer Network and Information Security 10 (8), 1, 2018
22018
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Articles 1–20