Fatih Abut

According to our database, Fatih Abut authored at least 11 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of six.

2024

Harnessing AI for Health: Optimized Neural Network Models for Resting Metabolic Rate Prediction.

Fatih Abut, Ezgi Akça, Mehmet Fatih Akay, Mustafa Irmak, Müzda Irmak, Yildirim Adigüzel

IEEE Access, 2024

2021

Development of New Hybrid Models for Prediction of Maximal Oxygen Uptake (VO2max) Using Machine Learning Methods Combined with Feature Selection Algorithms.

Fatih Abut

PhD thesis, 2021

2020

mlCoCoA: a machine learning-based congestion control for CoAP.

Alper Kamil Demir, Fatih Abut

Turkish J. Electr. Eng. Comput. Sci., 2020

FACEST: feedback-assisted estimation of end-to-end capacity in IP-based communication networks.

Fatih Abut

Turkish J. Electr. Eng. Comput. Sci., 2020

2019

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

Fatih Abut, Mehmet Fatih Akay, James D. George

Turkish J. Electr. Eng. Comput. Sci., 2019

A distributed measurement architecture for inferring TCP round-trip timesthrough passive measurements.

Fatih Abut

Turkish J. Electr. Eng. Comput. Sci., 2019

2017

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

Mehmet Fatih Akay, Fatih Abut, Ebru Çetin, Imdat Yarim, Boubacar Sow

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.

Mehmet Fatih Akay, Fatih Abut, Mikail Özçiloglu, Dan Heil

Neural Comput. Appl., 2016

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

Fatih Abut, Mehmet Fatih Akay, James D. George

Comput. Biol. Medicine, 2016

2015

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

Shahaboddin Daneshvar, Fatih Abut, Incilay Yildiz, Mehmet Fatih Akay

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.

Fatih Abut, Mehmet Fatih Akay

Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015