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Özel Aralık Girişi
Tümünü Görüntüle
Algorithmic Trading with Machine Learning
Mathematical Sciences, Xi'an Jiaotong University, 2019
JUAN DU
Ahmet Göncü Tez Doktora Tamamlandı
Advanced Mobility Robustness Optimization Models in Future Mobile Networks Based on Machine Learning Solutions
Institute of Electrical and Electronics Engineers (IEEE), Vol. 10, Ocak 2022, s. 19, ISSN: 2169-3536
SHAYEA IBRAHEEM ABDULLAH MOHAMMED
Ibraheem Abdullah Mohammed Shayea Özgün Makale Optimization 5G mobile communication Heuristic algorithms Handover Robustness Cellular networks Q-learning Machine learning Heterogeneous networks handover self-optimization mobility robustness optimization handover margin time-to-trigger heterogeneous networks 5G network
Music Genre Classification and Recommendation by Using Machine Learning Techniques
2018 Innovations in Intelligent Systems and Applications Conference (ASYU), Adana/TÜRKİYE, 4 Ekim 2018
ELBİR AHMET,ÇAM HİLMİ BİLAL,İYİCAN MEHMET EMRE,ÖZTÜRK BERKAY,AYDIN NİZAMETTİN
Nizamettin Aydın Tam metin bildiri Music genre ClassificationMachine LearningDeep LearningAcoustic features
A framework proposal for machine learning-driven agent-based models through a case study analysis
SIMULATION MODELLING PRACTICE AND THEORY, Vol. 123, Ocak 2023, s. 20, ISSN: 1569-190X
TURGUT YAKUP, BOZDAĞ CAFER ERHAN
Cafer Erhan Bozdağ Özgün Makale Agent-based modeling Machine learning Supervised learning
Evolved model for early fault detection and health tracking in marine diesel engine by means of machine learning techniques
Pomorstvo, Vol. 36, No. 1, Ağustos 2022, s. 95-104, ISSN: 1332-0718
ŞAHİN TOLGA, İMRAK CEVAT ERDEM, ÇAKIR MUAMMER ALTAN, CANDAŞ ADEM
Adem Candaş Özgün Makale Machine learningMulticlass classificationMarine diesel engineFault detectionDECISION-SUPPORT-SYSTEMCLASSIFICATION
Machine Learning-Based Digital Twin for Predictive Modeling in Wind Turbines
IEEE ACCESS, Vol. 10, Ocak 2022, ISSN: 2169-3536
CANBERK BERK
Berk Canberk Özgün Makale Wind turbines Wind farms Digital twin Predictive models Wind speed Wind forecasting Monitoring Digital twin machine learning predictive models wind energy 5G
Machine learning approach to ship fuel consumption: A case of container vessel
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, Vol. 84, Temmuz 2020, ISSN: 1361-9209
UYANIK TAYFUN,KARATUĞ ÇAĞLAR,ARSLANOĞLU YASİN
Çağlar Karatuğ Özgün Makale Fuel consumptionMachine learningPerformance monitoringShip operational efficiencyREGRESSIONREDUCTIONSYSTEMSDRIVENRIDGE
Machine Learning Based Feature Extraction for Determination of Balance Disorders
ISC 2019 – 11th International Statistics Congress, Bodrum/TÜRKİYE, 4 Ekim 2019
İKİZOĞLU SERHAT,DEMİR EZGİ,ATASOY BATUHAN
Serhat İkizoğlu Özet Bildiri Machine learningfeature extractionchaotic analyses methods
Developing meta-heuristic optimization based ensemble machine learning algorithms for hydraulic efficiency assessment of storm water grate inlets
URBAN WATER JOURNAL, Vol. 19, No. 10, Ocak 2022, ISSN: 1573-062X
EKMEKÇİCOĞLU ÖMER, BAŞAKIN EYYUP ENSAR, ÖZGER MEHMET
Mehmet Özger Özgün Makale Hydraulic efficiency meta-heuristics optimization storm water grate inlet tree-based machine learning urban drainage
Machine learning based visibility estimation to ensure safer navigation in strait of Istanbul
APPLIED OCEAN RESEARCH, Vol. 112, Temmuz 2021, ISSN: 0141-1187
UYANIK TAYFUN, KARATUĞ ÇAĞLAR, ARSLANOĞLU YASİN
Tayfun Uyanık Özgün Makale Safe navigation Risk assessment Istanbul strait Machine learning Visibility prediction
Machine learning approach to ship fuel consumption: A case of container vessel
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, Vol. 84, No. 102389, Haziran 2020, s. 1-14, ISSN: 1361-9209
UYANIK TAYFUN,KARATUG CAGLAR,ARSLANOĞLU YASİN
Tayfun Uyanık Özgün Makale Fuel consumptionMachine learningPerformance monitoringShip operational efficiencyREGRESSIONREDUCTIONSYSTEMSRIDGEdata drivenenergy efficiencycontainer vesselfuel oilfuel consumption
A comparative study of machine learning-based load balancing in high-speed
ALEXANDRIA ENGINEERING JOURNAL, Vol. 72, Ocak 2023, s. 13, ISSN: 1110-0168
SHAYEA IBRAHEEM ABDULLAH MOHAMMED
Ibraheem Abdullah Mohammed Shayea Özgün Makale Load balancing Machine learning High-speed railways Regression Handover margin Time-to-Trigger Radio link failure Handover ping-pong
Emotion Recognition via Galvanic Skin Response: Comparison of Machine Learning Algorithms and Feature Extraction Methods
ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING, Vol. 17, No. 1, Ocak 2017, s. 3129-3136, ISSN: 1303-0914
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
Yusuf Yaslan Özgün Makale Biomedical Signal ProcessingEmotion RecognitionPattern RecognitionMachine LearningPhysiological SignalGalvanic Skin ResponseDecision TreeRandom Forestk-Nearest NeighborsSupport Vector Machine
Machine-Learning-Based Classification of Urban Voids: Case Study of “Balat and Fener, Istanbul, Turkey”
SPACE International Journal of Conference Proceedings, Vol. 3, No. 1, Temmuz 2023, s. 17-24, ISSN: 2977-814X
SAMADİ MOJTABA, AKÇAY KAVAKOĞLU AYŞEGÜL
Ayşegül Akçay Kavakoğlu Özgün Makale urban voids interim reuse decision tree machine learning climate change mitigation
Machine learning based visibility estimation to ensure safer navigation in strait of Istanbul
APPLIED OCEAN RESEARCH, Vol. 112, Temmuz 2021, ISSN: 0141-1187
UYANIK TAYFUN, KARATUĞ ÇAĞLAR, ARSLANOĞLU YASİN
Yasin Arslanoğlu Özgün Makale Safe navigation Risk assessment Istanbul strait Machine learning Visibility prediction
Analysing the Determinants of Surface Solar Radiation with Tree-Based Machine Learning Methods: Case of Istanbul
Pure and Applied Geophysics, Nisan 2024, ISSN: 0033-4553
GÜVEN DENİZHAN
Denizhan Güven Özgün Makale Surface solar radiationMachine learningForecastingRandom forest
Comparative Study of Hyperspectral Imagery Classification with SVM and Ensemble Machine Learning Methods
6th Intercontinental Geoinformation Days (IGD), Bakü/AZERBAYCAN, 13 Haziran 2023
ATİK ŞAZİYE ÖZGE
Şaziye Özge Atik Tam metin bildiri ENSEMBLE METHODSMACHINE LEARNINGHYPER-SPECTRAL
A MACHINE LEARNING FRAMEWORK FOR AUTOMATED GROUND MOTION PREDICTION
1st Croatian Conference on Earthquake Engineering, Zagreb/HIRVATİSTAN, 22 Mart 2021
HEJAZI MOHELDEEN, TİNBİR SERRA, KHALİFANİ POOYA GHAFFARİ, SARI ALİ
Ali Sarı Tam metin bildiri machine learning
Emotion Recognition via Galvanic Skin Response: Comparison of Machine Learning Algorithms and Feature Extraction Methods
ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING, Vol. 17, No. 1, Ocak 2017, s. 3129-3136, ISSN: 1303-0914
AYATA DEĞER,YASLAN YUSUF,KAMAŞAK MUSTAFA ERSEL
Mustafa Ersel Kamaşak Özgün Makale Biomedical Signal ProcessingEmotion RecognitionPattern RecognitionMachine LearningPhysiological SignalGalvanic Skin ResponseDecision TreeRandom Forestk-Nearest NeighborsSupport Vector Machine
Machine learning approach to ship fuel consumption: A case of container vessel
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, Vol. 84, No. 102389, Haziran 2020, s. 1-14, ISSN: 1361-9209
UYANIK TAYFUN,KARATUG CAGLAR,ARSLANOĞLU YASİN
Yasin Arslanoğlu Özgün Makale Fuel consumptionMachine learningPerformance monitoringShip operational efficiencyREGRESSIONREDUCTIONSYSTEMSRIDGEdata drivenenergy efficiencycontainer vesselfuel oilfuel consumption

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