Yayınlar & Eserler

SCI, SSCI ve AHCI İndekslerine Giren Dergilerde Yayınlanan Makaleler

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

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, cilt.28, ss.1803-1823, 2020 (SCI İndekslerine Giren Dergi) identifier

mlCoCoA: a machine learning-based congestion control for CoAP

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, cilt.28, no.0, ss.2863-2882, 2020 (SCI İndekslerine Giren Dergi) identifier

A robust ensemble feature selector based on rank aggregation for developing new VO(2)max prediction models using support vector machines

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, cilt.27, ss.3648-3664, 2019 (SCI İndekslerine Giren Dergi) identifier identifier

A distributed measurement architecture for inferring TCP round-trip times through passive measurements

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, cilt.27, ss.2106-2120, 2019 (SCI İndekslerine Giren Dergi) identifier identifier

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

TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, cilt.25, ss.2567-2582, 2017 (SCI İndekslerine Giren Dergi) identifier identifier

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

ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, cilt.40, ss.1045-1055, 2015 (SCI İndekslerine Giren Dergi) identifier identifier

Diğer Dergilerde Yayınlanan Makaleler

Data-Driven Modelling and Prediction of CoAP Throughput in a Grid Network Topology

El-Cezeri Fen ve Mühendislik Dergisi, cilt.7, ss.295-303, 2020 (Diğer Kurumların Hakemli Dergileri)

User-level Performance Evaluation of VoIP under Different Background TCP Traffic Conditions in ns-2

European Journal of Science and Technology, cilt.16, ss.638-645, 2019 (Diğer Kurumların Hakemli Dergileri)

Comparison of CoAP and CoCoA Congestion Control Mechanisms in Grid Network Topologies

Gümüşhane University Journal of Science and Technology Institute, ss.53-60, 2018 (Diğer Kurumların Hakemli Dergileri)

Through the Diversity of Bandwidth-Related Metrics, Estimation Techniques and Tools: An Overview

International Journal of Computer Network and Information Security, cilt.10, ss.1-16, 2018 (Diğer Kurumların Hakemli Dergileri)

An Experimental Evaluation of Tools for Estimating Bandwidth-Related Metrics

International Journal of Computer Network and Information Security, cilt.10, ss.1-11, 2018 (Diğer Kurumların Hakemli Dergileri)

Predicting Student’s Pass/Fail Status in an Academic Course Using Deep Learning: A Case Study

International Journal of Scientific Research in Information Systems and Engineering, cilt.4, ss.87-91, 2018 (Diğer Kurumların Hakemli Dergileri)

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

New Trends and Issues Proceedings on Humanities and Social Sciences, cilt.3, ss.11-17, 2017 (Diğer Kurumların Hakemli Dergileri)

A Survey on Applications of Statistical and Machine Learning Methodsin Sport Physiology

Austin Sports Medicine, cilt.2, ss.1022-1027, 2017 (Diğer Kurumların Hakemli Dergileri)

Support Vector Machines with Individual Combinations of Relief-F and mRMR for Predicting VO2max from Maximal and Questionnaire Data

International Journal of Advances in Electronics and Computer Science, cilt.3, ss.63-67, 2016 (Diğer Kurumların Hakemli Dergileri)

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

Çukurova University Journal of the Faculty of Engineering and Architecture, cilt.31, ss.153-159, 2016 (Diğer Kurumların Hakemli Dergileri)

Short Term Voice Traffic Forecast in 3G/UMTS Networks using Machine Learning and Statistical Methods

International Journal of Advances in Electronics and Computer Science, cilt.3, ss.108-111, 2016 (Diğer Kurumların Hakemli Dergileri)

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

MEDICAL DEVICES-EVIDENCE AND RESEARCH, cilt.8, ss.369-379, 2015 (ESCI İndekslerine Giren Dergi) identifier identifier identifier

Hakemli Kongre / Sempozyum Bildiri Kitaplarında Yer Alan Yayınlar

C-Archive: Kurumsal İçerik Yönetimi için Yeni Bir Uygulama

5th International Mediterranean Science and Engineering Congress (IMSEC-2020), Antalya, Türkiye, 21 - 23 Ekim 2020, ss.140-143

A Recent Survey of Studies on Wind Power Forecasting Using Statistical and Machine Learning Methods

5th International Mediterranean Science and Engineering Congress (IMSEC-2020), Antalya, Türkiye, 21 - 23 Ekim 2020, ss.263-267

Monetary Value Ordering Heuristic Approach for Cascade Hydropower Plants Dispatching with Downstream Requirements

5th International Mediterranean Science and Engineering Congress (IMSEC-2020), Antalya, Türkiye, 21 - 23 Ekim 2020, ss.320-328

VIVID: A New Virtual Assistant for People with Visual Impairments

5th International Mediterranean Science and Engineering Congress (IMSEC-2020), Antalya, Türkiye, 21 - 23 Ekim 2020, ss.159-164

Designing a New IoT Modem with Low Power Consumption and 4G LTE Support

5th International Mediterranean Science and Engineering Congress (IMSEC-2020), Antalya, Türkiye, 21 - 23 Ekim 2020, ss.165-169

Effects of Interrupt Coalescence on Estimation of Available Bandwidth Using Single-End Active Probing

Intl. Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA-19), Girne, Kıbrıs (Kktc), 6 - 08 Mart 2019, ss.33-34

Data-Driven Modelling and Prediction of CoAP Throughput in a Grid Network Topology

Cilicia Intl. Symposium on Engineering and Technology (CISET-18), Mersin, Türkiye, 24 - 27 Ekim 2018, ss.69-73

On Active Estimation of End-to-End Capacity: A Comparison

Intl. Conference on Life and Engineering Sciences (ICOLES-18), Girne, Kıbrıs (Kktc), 2 - 04 Eylül 2018, ss.37-42

Comparison of CoAP and CoCoA Congestion Control Mechanisms in Grid Network Topologies

Intl. Conference on Computational Mathematics and Engineering Sciences (CMES-18), Girne, Kıbrıs (Kktc), 4 - 06 Mayıs 2018, ss.141

An Experimental Study for Estimating End-To-End Available Bandwidth in a Controlled Testbed Environment

Intl. Conference on Computational Mathematics and Engineering Sciences (CMES-18), Girne, Kıbrıs (Kktc), 4 - 06 Mayıs 2018, ss.142

Predicting students pass/fail status in an academic course using deep learning: A case study

Intl. Symposium on Engineering, Artificial Intelligence Applications (ISEAIA-17), Girne, Kıbrıs (Kktc), 1 - 03 Kasım 2017, ss.189-194

Artificial Neural Networks for Predicting the Racing Time of Cross-Country Skiers From Survey-Based Data

IEEE 9th International Conference on Computational Intelligence and Communication Networks (CICN-17), Girne, Kıbrıs (Kktc), 16 - 17 Eylül 2017, ss.117-121 identifier identifier

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

5th Cyprus International Conference on Educational Research (CYICER), Kyrenia, CYPRUS, 31 Mart - 02 Nisan 2016, cilt.3, ss.11-17 Creative Commons License identifier

Artificial Neural Networks for Predicting the Racing Time of Cross-Country Skiers from Survey-Based Data

9th International Conference on Computational Intelligence and Communication Networks (CICN), Girne, Kıbrıs (Kktc), 16 - 17 Eylül 2017, ss.117-121 identifier

Predicting the Maximum Endurance Time for Left-Side Bridge Exercise Using Machine Learning Methods and Hybrid Data

9th International Conference on Computational Intelligence and Communication Networks (CICN), Girne, Kıbrıs (Kktc), 16 - 17 Eylül 2017, ss.210-214 identifier

Short Term Voice Traffic Forecast in 3G/UMTS Networks using Machine Learning and Statistical Methods

Intl. Conference on Artificial Intelligence and Soft Computing (ICAISC-16), Barcelona, İspanya, 18 - 19 Ağustos 2016, ss.19-22

Support Vector Machines with Individual Combinations of Relief-F And mRMR for Predicting VO2max from Maximal and Questionnaire Data

Intl. Conference on Artificial Intelligence and Soft Computing (ICAISC-16), Barcelona, İspanya, 17 - 18 Ağustos 2016, ss.9-13

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

5th Cyprus International Conference on Educational Research, Girne, Kıbrıs (Kktc), 31 Mart - 02 Nisan 2016, ss.164

Data-driven Prediction of VO2max Based on Maximal and Submaximal Variables Using Support Vector Machines Combined with Feature Selection

3rd International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA-15), Girne, Kıbrıs (Kktc), 4 - 06 Kasım 2015, ss.10-11

Support Vector Machines for Prediction of Endurance Times Involving Isometric Side Bridge Exercise Test

Intl. Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA-15), Girne, Kıbrıs (Kktc), 4 - 06 Kasım 2015, ss.7-9

Performance Comparison of Different Machine Learning Methods for Prediction of Maximal Oxygen Uptake from Submaximal Data

8th Engineering and Technology Symposium (ETS-15), Ankara, Türkiye, 14 - 15 Mayıs 2015, ss.367-370

Feature Selection for Prediction of Upper Body Power of Cross-Country Skiers Using Different Machine Learning Methods

Intl. Symposium on Sport Science, Engineering and Technology (ISSSET-15), İstanbul, Türkiye, 10 - 13 Mayıs 2015, ss.82-89

Investigating the Effects of Body Mass Index and Location Variables on the Prediction of Maximal Oxygen Uptake Using Support Vector Machines

Intl. Symposium on Sport Science, Engineering and Technology (ISSSET-15), İstanbul, Türkiye, 10 - 13 Mayıs 2015, ss.54-61

Development of New Hybrid Models for Prediction of Maximal Oxygen Uptake Using Machine Learning Methods Combined with Feature Selection

Intl. Symposium on Sport Science, Engineering and Technology (ISSSET-15), İstanbul, Türkiye, 10 - 13 Mayıs 2015, ss.163-170

Development of New Upper Body Power Prediction Models for Cross-Country Skiers by Using Different Machine Learning Methods

23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Türkiye, 16 - 19 Mayıs 2015, ss.260-263 identifier identifier

Determination of the Variables Affecting the Maximal Oxygen Uptake of Cross-Country Skiers by Using Machine Learning and Feature Selection Algorithms

23nd Signal Processing and Communications Applications Conference (SIU), Malatya, Türkiye, 16 - 19 Mayıs 2015, ss.156-159 identifier identifier

Using support vector machines to predict maximal oxygen uptake with the help of questionnaire variables

Intl. Symposium on Engineering,Artificial Intelligence and Applications (ISEAIA-14), Girne, Kıbrıs (Kktc), 5 - 07 Kasım 2014, ss.5-6

Using Cross-Layer Design to detect Jamming Attacks in the CoNSIS Scenario

Military Communications and Information Systems Conference (MCC), Saint-Lo, Fransa, 7 - 09 Ekim 2013 identifier identifier

The CoNSIS Approaches to Network Management and Monitoring

IEEE 14th Military Communications and Information Systems Conference (MCC-12), Gdansk, Polonya, 8 - 09 Ekim 2012, ss.161-178 identifier

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