M. Akay

发表

Measurement and monitoring of microwave reflection and transmission properties of cement-based specimens

S. Kharkovsky, C. Atiş, M. Akay, 2001, IMTC 2001. Proceedings of the 18th IEEE Instrumentation and Measurement Technology Conference. Rediscovering Measurement in the Age of Informatics (Cat. No.01CH 37188).

Determination of Complex Dielectric Permittivity of Loss Materials at Microwave Frequencies

S. Kharkovsky, M. Akay, U. Hasar, 2003 .

Predicting the performance measures of a message-passing multiprocessor architecture using artificial neural networks

M. Akay, E. I. M. Zayid, 2013, Neural Computing and Applications.

Support vector machines combined with feature selection for breast cancer diagnosis

Mehmet Fatih Akay, M. Akay, 2009, Expert Syst. Appl..

Predicting VO2max from submaximal exercise and non-exercise data using artificial neural networks

Erman Aktürk, Mehmet Fatih Akay, Ali Erce Tuncdemir, 2013, 2013 21st Signal Processing and Communications Applications Conference (SIU).

Intelligent regression techniques for non-exercise prediction of VO2max

Erman Aktürk, Mehmet Fatih Akay, Mustafa Acikkar, 2013, 2013 21st Signal Processing and Communications Applications Conference (SIU).

Support vector regression and multilayer feed forward neural networks for non-exercise prediction of VO2max

Mehmet Fatih Akay, Cigdem Inan Aci, Danielle I. Bradshaw, 2009, Expert Syst. Appl..

Artificial neural network-based model for predicting VO2max from a submaximal exercise test

Erman Aktürk, Mehmet Fatih Akay, Elrasheed Ismail Mohommoud Zayid, 2011, Expert Syst. Appl..

A hybrid congestion control algorithm for broadcast-based architectures with multiple input queues

Mehmet Fatih Akay, Cigdem Inan Aci, M. Akay, 2015, The Journal of Supercomputing.

Developing Turkish Sentiment Analysis Models Using Machine Learning and E-Commerce Data

F. Abut, M. Akay, M. Demircan, 2021, International Journal of Cognitive Computing in Engineering.

Predicting the performance measures of an optical distributed shared memory multiprocessor by using support vector regression

Ipek Abasikeles, M. Fatih Akay, M. Akay, 2010, Expert Syst. Appl..

A new congestion control algorithm for improving the performance of a broadcast-based multiprocessor architecture

Mehmet Fatih Akay, Cigdem Inan Aci, M. Akay, 2011, J. Parallel Distributed Comput..

Identifying the discriminative predictors of upper body power of cross-country skiers using support vector machines combined with feature selection

D. Heil, F. Abut, M. Akay, 2016, Neural Computing and Applications.

Prediction of Upper Body Power of Cross-Country Skiers Using Support Vector Machines

Mehmet Fatih Akay, Shahaboddin Daneshvar, Fatih Abut, 2015 .

Prediction of Upper Body Power of Cross-Country Skiers Using Support Vector Machines

F. Abut, M. Akay, S. Daneshvar, 2015, Arabian Journal for Science and Engineering.

Developing new VO2max prediction models from maximal, submaximal and questionnaire variables using support vector machines combined with feature selection

Mehmet Fatih Akay, Fatih Abut, James D. George, 2016, Comput. Biol. Medicine.

Development of New Hybrid Admission Decision Prediction Models Using Support Vector Machines Combined with Feature Selection

Mehmet Fatih Akay, Gozde Ozsert Yigit, Gozde Ozsert Yıgıt, 2017, New Trends and Issues Proceedings on Humanities and Social Sciences.

Predicting the performance measures of a 2-dimensional message passing multiprocessor architecture by using machine learning methods

Mehmet Fatih Akay, Fatih Abut, Ҫiǧdem İnan Aci, 2015 .

Reliable attributes selection technique for predicting the performance measures of a DSM multiprocessor architecture

Mehmet Fatih Akay, Elrasheed Ismail Mohommoud Zayid, M. Akay, 2013, 2013 INTERNATIONAL CONFERENCE ON COMPUTING, ELECTRICAL AND ELECTRONIC ENGINEERING (ICCEEE).

Predicting the performance measures of a message-passing multiprocessor architecture using artificial neural networks

Mehmet Fatih Akay, Elrasheed Ismail Mohommoud Zayid, M. Akay, 2012, Neural Computing and Applications.

Machine learning based churn analysis for sellers on the e-commerce marketplace

M. Akay, Mehmet Emin Öztürk, Akasya Akyüz Tunç, 2023, International Journal of Mathematics and Computer in Engineering.

Support vector machines for predicting the hamstring and quadriceps muscle strength of college-aged athletes

Mehmet Fatih Akay, Fatih Abut, Boubacar Sow, 2017, Turkish J. Electr. Eng. Comput. Sci..

Machine learning and statistical methods for the prediction of maximal oxygen uptake: recent advances

Mehmet Fatih Akay, Fatih Abut, F. Abut, 2015, Medical devices.

New Regression Equations for Estimating the Maximal Oxygen Uptake of College of Physical Education and Sports Students in Turkey

Mehmet Fatih Akay, Fatih Abut, İmdat Yarim, 2017, New Trends and Issues Proceedings on Humanities and Social Sciences.

Development of new upper body power prediction models for cross-country skiers by using different machine learning methods

Shahaboddin Daneshvar, Fatih Abut, Incilay Yildiz, 2015, 2015 23nd Signal Processing and Communications Applications Conference (SIU).

Predicting upper body power of cross-country skiers using machine learning methods combined with feature selection

M. Fatih Akay, Derman Akgol, M. Akay, 2015, 2015 23nd Signal Processing and Communications Applications Conference (SIU).

New Regression Models for Predicting the Hamstring Muscle Strength using Support Vector Machines

F. Abut, M. Akay, B. Sow, 2016 .

A robust ensemble feature selector based on rank aggregation for developing new VO2max prediction models using support vector machines

Mehmet Fatih Akay, Fatih Abut, James D. George, 2019, Turkish J. Electr. Eng. Comput. Sci..

Multiple linear regression-based physical fitness prediction models for Turkish secondary school students

M. Akay, İmdat Yarım, E. Çetin, 2018, New Trends and Issues Proceedings on Humanities and Social Sciences.

Estimating the maximal oxygen uptake with new prediction models for college-aged students using feature selection algorithm

M. Akay, İmdat Yarım, E. Çetin, 2018, New Trends and Issues Proceedings on Humanities and Social Sciences.

New prediction models for the maximal oxygen uptake of collegeaged students using non-exercise data

M. Akay, İmdat Yarım, E. Çetin, 2017 .

Development of novel maximal oxygen uptake prediction models for Turkish college students using machine learning and exercise data

M. Fatih Akay, Ebru Çetin, İmdat Yarım, 2017, 2017 9th International Conference on Computational Intelligence and Communication Networks (CICN).