ARAMA SONUÇLARI

Toplam 754 adet sonuçtan 20 tanesi görüntülenmektedir.

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

Bug Prediction of SystemC Models Using Machine Learning

IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS, Vol. 38, No. 3, Ocak 2019, s. 11, ISSN: 0278-0070

EFENDİOĞLU MUSTAFA,ŞEN MEHMET ALPER,KÖROĞLU YAVUZ

Yavuz Köroğlu Özgün Makale Bug prediction machine learning (ML) SystemC verification

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

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

Explainable Artificial Intelligence for Machine Learning-Based Photogrammetric Point Cloud Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 17, Ocak 2024, ISSN: 1939-1404

ATİK MUHAMMED ENES,DURAN ZAİDE,ŞEKER DURSUN ZAFER

Zaide Duran Özgün Makale Point cloud compression Three-dimensional displays Feature extraction Deep learning Buildings Solid modeling Explainable AI Classification explainable artificial intelligence (XAI) feature selection machine learning photogrammetry point cloud

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

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

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

A multi-spectral myelin annotation tool for machine learning based myelin quantification

F1000 Research Ltd, Vol. 9, Kasım 2023, ISSN: 2046-1402

ÇAPAR ABDULKERİM, ÇİMEN SİBEL, ALADAG ZEYNEP, EKİNCİ DURSUN ALİ, AYTEN UMUT ENGİN, KERMAN BİLAL ERSEN, TÖREYİN BEHÇET UĞUR

Abdulkerim Çapar Özgün Makale myelin annotation tool myelin quantification fluorescence images machine learning image analysis

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

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

A Machine Learning Approach to Predict AdvancedMalware

BalkanCom2018, Second International Balkan Conference on Communications and Networking, Podgorica/KARADAĞ, 6 Haziran 2018

BAHTİYAR ŞERİF,YAMAN MEHMET BARIŞ,ALTINİĞNE CAN YILMAZ

Şerif Bahtiyar Tam metin bildiri SecurityMachine LearningMalware

Analysis of Mining Lost Time Incident Duration Influencing Factors Through Machine Learning

Mining, Metallurgy & Exploration, Vol. 38, No. 2, Ocak 2021, s. 1031-1039, ISSN: 2524-3462","2524-3470

KAHRAMAN MUHAMMET MUSTAFA

Muhammet Mustafa Kahraman Özgün Makale Decision tree; Lost time incidents; Machine learning; Neural network; Occupational safety

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

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 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

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

Yasin Arslanoğlu Özgün Makale Fuel consumptionMachine learningPerformance monitoringShip operational efficiencyREGRESSIONREDUCTIONSYSTEMSDRIVENRIDGE

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

Phenology monitoring of agricultural plants using texture analysis

2015 Fourth International Conference on Agro-Geoinformatics (Agro-geoinformatics), 20 Temmuz 2015

YALÇIN HÜLYA

Hülya Yalçın Tam metin bildiri agriculturecomputer visionmachine learning

Community Event Prediction in Dynamic Social Networks

2013 12th International Conference on Machine Learning and Applications, 4 Aralık 2013

İLHAN NAGEHAN,ÖĞÜDÜCÜ ŞULE

Şule Öğüdücü Tam metin bildiri

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