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Extracting Structural Elements From 3D Point Clouds in Indoor Environments via Machine Learning Techniques
IEEE ACCESS, Vol. 12, Ocak 2024, ISSN: 2169-3536
AKSU KORAY,DEMİREL HANDE
Hande Demirel Özgün Makale "3D point cloud""classification""explainable machine learning""indoor environment""local neighborhood""machine learning""structural element""terrestrial laser scanning""classification""explainable machine learning""indoor environment""local neighborhood""machine learning""structural element""terrestrial laser scanning"
Breast Cancer Detection Based on Machine Learning
2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT), 6 Nisan 2024
SHAYEA IBRAHEEM ABDULLAH MOHAMMED
Ibraheem Abdullah Mohammed Shayea Tam metin bildiri Support vector machines Visualization Machine learning algorithms Mortality rate Machine learning Breast cancer Bayes methods
Machine Learning-Based Dynamic Hosting Capacity for Bidirectional EVs
IEEE ACCESS, Vol. 14, Ocak 2026, ISSN: 2169-3536
KARAHAN OĞUZHAN,BAĞRIYANIK MUSTAFA
Oğuzhan Karahan Özgün Makale "Uncertainty""Planning""Machine learning""Stochastic processes""Accuracy""Charging stations""Vehicle-to-grid""Vehicle dynamics""Transformers""Adaptation models""Classification""electric vehicle""grid to vehicle""hosting capacity""machine learning""regression""vehicle to grid"
Machine learning-based classification of maritime accidents
Ships and Offshore Structures, Mart 2025, ISSN: 1744-5302
ATAK ÜSTÜN,DEMİRAY AHMET
Üstün Atak Özgün Makale "Maritime transportation""accident analysis""machine learning""classification"
Algorithmic Trading with Machine Learning
Mathematical Sciences, Xi'an Jiaotong University, 2019
JUAN DU
Ahmet Göncü Tez Doktora Tamamlandı
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
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
Developing a Machine Learning Model to Predict Silicate Impurity in Iron Ore Flotation Concentrate
IMPS 2022 - 17th International Mineral Processing Symposium, İstanbul/TÜRKİYE, 15 Aralık 2022, s. 991-1000
PURAL YUSUF ENES
Yusuf Enes Pural Tam metin bildiri FlotationGrade EstimationMachine LearningRandom ForestMulti-Layer Perceptron
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
Condition monitoring and fault diagnosis of a marine diesel engine with machine learning techniques
Pomortsvo- Scientific Journal of Maritime Research, Vol. 37, No. 1, Haziran 2023, s. 32-46, ISSN: 13320718
KOÇAK GAZİ,GENÇ YAKUP,GÖKÇEK VEYSEL
Gazi Koçak Özgün Makale Ship engine roomMachine learningFault diagnosisCondition monitoring
Performance analysis of Na-ion batteries by machine learning
Elsevier BV, Vol. 549, Kasım 2022, ISSN: 0378-7753
ORAL BURCU, TEKİN BURAK, EROĞLU PALA DAMLA, YILDIRIM RAMAZAN
Burak Tekin Özgün Makale Machine learningNa-ion batteries
Evolved model for early fault detection and health tracking in marine diesel engine by means of machine learning techniques
POMORSTVO-SCIENTIFIC JOURNAL OF MARITIME RESEARCH, Vol. 36, No. 1, Ocak 2022, s. 94-105, ISSN: 1332-0718
ŞAHİN TOLGA, İMRAK CEVAT ERDEM, ÇAKIR ALTAN, CANDAŞ ADEM
Cevat Erdem İmrak Özgün Makale Machine learning Multiclass classification Marine diesel engine Fault detection
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
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 for Signal Processing in 5G and Beyond: Review
2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN), 22 Aralık 2024
SHAYEA IBRAHEEM ABDULLAH MOHAMMED
Ibraheem Abdullah Mohammed Shayea Tam metin bildiri 6G mobile communication Surveys 5G mobile communication Array signal processing Reviews Wireless networks Machine learning Telecommunication traffic Trajectory Resource management
Machine learning assisted estimation of total solids content of drilling fluids
ARTIFICIAL INTELLIGENCE IN GEOSCIENCES, Vol. 6, No. 2, Ocak 2025, s. 18, ISSN: 26665441
GÜNEL BERAT TUĞBERK,PAK YASEMİN DEFNE,HEREKELİ AHMET ÖZGÜN,GÜL SERCAN,KULGA İHSAN BURAK,ARTUN FAZIL EMRE
İhsan Burak Kulga Özgün Makale Drilling fluids Total solids content Machine learning
Prediction of the traffic incident duration using statistical and machine-learning methods: A systematic literature review
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, Vol. 207, Ocak 2024, s. 23, ISSN: 0040-1625
KORKMAZ HÜSEYİN,ERTÜRK MEHMET ALİ
Mehmet Ali Ertürk Derleme Makale Incident duration analysis Traffic incident duration prediction Traffic congestion Intelligent transportation systems Machine learning Data mining
Measurement and Analysis of In Vivo Microwave Dielectric Properties Collected From Normal, Benign, and Malignant Rat Breast Tissues: Classification Using Supervised Machine Learning Algorithms
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, Vol. 73, 2024, s. 11, ISSN: 0018-9456
PASTACI ÖZSOBACI NURAL,ÖNEMLİ EMRE,AYDINALP CEMANUR,YILMAZ ABDOLSAHEB TUBA
Tuba Yılmaz Abdolsaheb Özgün Makale Cancer Rats Dielectrics In vivo Microwave measurement Permittivity measurement Pathology Animal experiments breast cancer dielectric spectroscopy in vivo dielectric properties (DPs) machine learning (ML) microwave diagnostics rat breast models supervised learning
Prediction of flyrock distances using XGBoost machine learning method
13th WORLD CONFERENCE ON EXPLOSIVES AND BLASTING, Krakow/POLONYA, 20 Eylül 2025, s. 315-324
AĞAN YAŞAR,HÜDAVERDİ TÜRKER
Yaşar Ağan Tam metin bildiri Blasting Machine LearningFlyrock
AirWave: Enhancing UAV Connectivity in Cellular Networks through an Integrated Simulation Framework
2024 IEEE International Conference on Big Data & Machine Learning (ICBDML), Bhopal/HİNDİSTAN, 24 Şubat 2024, s. 295-302
ZOR EMİRHAN,TASKİRAN YUSUF,DAEL FARES ABDULHAFIDH DERHEM,SHAYEA IBRAHEEM ABDULLAH MOHAMMED,RZAYEVA LEİLA,SYZDYKOVA ZULEİKHA
Ibraheem Abdullah Mohammed Shayea Tam metin bildiri UAV communications 5G and beyond Handover management Reinforcement learning machine learning

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