SCI, SSCI ve AHCI İndekslerine Giren Dergilerde Yayınlanan Makaleler
mlCoCoA: a machine learning-based congestion control for CoAP
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
, cilt.28, sa.5, ss.2863-2882, 2020 (SCI-Expanded)
FACEST: feedback-assisted estimation of end-to-end capacity in IP-based communication networks
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
, cilt.28, sa.4, ss.1803-1823, 2020 (SCI-Expanded)
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, sa.5, ss.3648-3664, 2019 (SCI-Expanded)
A distributed measurement architecture for inferring TCP round-trip times through passive measurements
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES
, cilt.27, sa.3, ss.2106-2120, 2019 (SCI-Expanded)
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, sa.4, ss.2567-2582, 2017 (SCI-Expanded)
Diğer Dergilerde Yayınlanan Makaleler
SOBE: A Fraud Detection Platform in Insurance Industry
Kocaeli Journal of Science and Engineering
, cilt.0, sa.0, ss.1-7, 2022 (Hakemli Dergi)
Brand Propensity Prediction with Click-Through Rate as a Target
Kocaeli Journal of Science and Engineering
, cilt.0, sa.0, ss.1-6, 2022 (Hakemli Dergi)
Forecasting Call Center Arrivals Using XGBoost Combined with Consecutive and Periodic Lookback
Eastern Anatolian Journal of Science
, cilt.8, sa.1, ss.20-25, 2022 (Hakemli Dergi)
A Survey of Recent Studies on COVID-19 Outbreak Prediction Using Statistical and Machine Learning Methods
Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi
, cilt.11, sa.3, ss.484-495, 2022 (Hakemli Dergi)
Türkiye'de Mutluluk Düzeyini Etkileyen Faktörlerin Makine Öğrenme ve Nitelik Seçme Algoritmaları ile Belirlenmesi
Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi
, cilt.11, sa.1, ss.1-9, 2022 (Hakemli Dergi)
C-Scripter: A Dynamic Call Center Scripting Application
Eastern Anatolian Journal of Science
, cilt.7, sa.1, ss.1-5, 2021 (Hakemli Dergi)
Autonomous Navigation in Search and Rescue Simulated Environment using Deep Reinforcement Learning
Balkan Journal of Electrical and Computer Engineering
, cilt.9, sa.2, ss.92-98, 2021 (Hakemli Dergi)
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 (Hakemli Dergi)
An Experimental Evaluation of Tools for Estimating Bandwidth-Related Metrics
International Journal of Computer Network and Information Security
, cilt.10, sa.8, ss.1-11, 2018 (Scopus)
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, sa.1, ss.87-91, 2018 (Hakemli Dergi)
A Survey on Applications of Statistical and Machine Learning Methodsin Sport Physiology
Austin Sports Medicine
, cilt.2, sa.3, ss.1022-1027, 2017 (Hakemli Dergi)
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, sa.2, ss.153-159, 2016 (Hakemli Dergi)
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, sa.10, ss.108-111, 2016 (Hakemli Dergi)
Towards a Generic Classification and Evaluation Scheme for Bandwidth Measurement Tools
Signals and Telecommunication Journal
, cilt.1, sa.2, ss.78-88, 2012 (Hakemli Dergi)
Hakemli Kongre / Sempozyum Bildiri Kitaplarında Yer Alan Yayınlar
Information Extraction from Policy Documents Using Object Detection and Domain-Specific BERT
3rd International Eurasian Conference on Science, Engineering and Technology (EurasianSciEnTech 2021), Ankara, Türkiye, 15 Aralık 2021, ss.789-794
Developing Customer Segmentation Models for Digital Marketing Campaigns using Machine Learning
6th Intl. Mediterranean Science and Engineering Congress, Antalya, Türkiye, 25 Ekim 2021, ss.697-701
Simplifying and Speeding Up the Finding of Real Estate Listings for End-Users
6th Intl. Mediterranean Science and Engineering Congress, Antalya, Türkiye, 25 Ekim 2021, ss.657-660
Development of Mobile Applications for Real Estate Businesses
6th Intl. Mediterranean Science and Engineering Congress, Antalya, Türkiye, 25 Ekim 2021, ss.419-423
Improving the Shipment Management Using Shipment Approval Cockpit in the Order Process
6th Intl. Mediterranean Science and Engineering Congress, Antalya, Türkiye, 25 Ekim 2021, ss.652-655
Forecasting the System Marginal Price Using Long Short-Term Memory and Support Vector Machine
6th Intl. Mediterranean Science and Engineering Congress, Antalya, Türkiye, 25 - 27 Ekim 2021, ss.628-633
Improving the Order Picking Process in Warehouse Systems Using Distance Matrix
6th Intl. Mediterranean Science and Engineering Congress, Antalya, Türkiye, 25 Ekim 2021, ss.96-101
Orchestra: A Warehouse Order Management System
4th International Conference on Life and Engineering Sciences, İstanbul, Türkiye, 23 Eylül 2021, ss.148-154
Designing a Modern Gateway Device for Cloud Platforms
4th International Conference on Life and Engineering Sciences, İstanbul, Türkiye, 23 Eylül 2021, ss.123-132
Orion: A Supplier Capacity Planning Model
4th International Conference on Life and Engineering Sciences, İstanbul, Türkiye, 23 Eylül 2021, ss.140-147
DBTransporter: An Interoperable Application for Transferring Data Between Databases Running on Different Machines
4th International Conference on Life and Engineering Sciences, İstanbul, Türkiye, 23 Eylül 2021, ss.164-171
Loyalist365: A Loyalty Management Application
4th International Conference on Life and Engineering Sciences, İstanbul, Türkiye, 23 Eylül 2021, ss.155-163
Akıllı Hat: A Call Measurement and Reporting Application
4th International Conference on Life and Engineering Sciences, İstanbul, Türkiye, 23 Eylül 2021, ss.172-179
Replatforming and Online Renewal Project for Real Estate Businesses
4th International Conference on Life and Engineering Sciences, İstanbul, Türkiye, 23 Eylül 2021, ss.133-139
Forecasting Arrivals to a Call Center Using Supervised Machine Learning
International Conference on Interdisciplinary Applications of Artificial Intelligence (ICIDAAI-2021), Yalova, Türkiye, 21 - 23 Mayıs 2021, ss.170-173
Developing an Identification Application for Overdress Products Using Convolutional Neural Networks
International Conference on Interdisciplinary Applications of Artificial Intelligence (ICIDAAI-2021), Yalova, Türkiye, 21 - 23 Mayıs 2021, ss.166-169
Fashion-Oriented Personalized Search Engine Development
International Conference on Computational Mathematics and Engineering Sciences (CMES-2021), Van, Türkiye, 01 Mayıs 2021
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
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
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
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
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
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
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
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
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
Predicting the Resonant Frequency and Q-Factor of Cylindrical Dielectric Resonators with Whispering Gallery Modes Using Tree-Structured Regression Methods
Intl. Conference on Natural Science and Engineering (ICNASE-16), Kilis, Türkiye, 19 - 20 Mart 2016, ss.170-176
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
Predicting the Processor and Channel Utilization of a 2-Dimensional Multiprocessor Architecture by Using Support Vector Regression Combined with Feature Selection
8th Engineering and Technology Symposium (ETS-15), Ankara, Türkiye, 14 - 15 Mayıs 2015, ss.395-399
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
Performance Evaluation of Different Classifiers to Predict the Admission Decision of a Candidate to the School of Physical Education and Sports at Cukurova University
Intl. Symposium on Sport Science, Engineering and Technology (ISSSET-15), İstanbul, Türkiye, 10 - 13 Mayıs 2015, ss.178-184
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
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
2nd Intl. Symposium on Engineering, Artificial Intelligence and Applications, Girne, Kıbrıs (Kktc), 5 - 07 Kasım 2014, ss.8-9
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
Towards a Generic Classification and Evaluation Scheme for Bandwidth Measurement Tools
IEEE International Conference on Computer-Related Knowledge, Sousse, Tunus, 5 - 07 Temmuz 2012, ss.14