ARAMA SONUÇLARI

Toplam 732 adet sonuçtan 20 tanesi görüntülenmektedir.

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

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

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 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 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 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

Extracting Topical Information of Tweets Using Hashtags

The 14th International Conference on Machine Learning and Applications, 9 Aralık 2015

ZEYNEP ZENGİN ALP,ÖĞÜDÜCÜ ŞULE

Şule Öğüdücü Poster

A New Graph Based Evolutionary Approach to Sequence Clustering

Fourth International Conference on Machine Learning and Applications (ICMLA'05), 11 Aralık 2005

UYAR AYŞE ŞİMA,ÖĞÜDÜCÜ ŞULE

Şule Öğüdücü Tam metin bildiri

Demand Prediction Using Machine Learning Methods and Stacked Generalization

DATA 2017, 24 Temmuz 2017

TUGAY RESUL,ÖĞÜDÜCÜ ŞULE

Şule Öğüdücü Tam metin bildiri

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

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

Malfunction Detection on Production Line Using Machine Learning: Case Study in Wood Industry

INFUS 2020, 21 Temmuz 2020

ÖZGÜN KAĞAN,AKLAN SC,TEKİN AHMET,ÇEBİ FERHAN

Ferhan Çebi Tam metin bildiri

Machine Learning Algorithms to Forecast Population: Turkey Example Turkey,274-282.

ETMS, 9 Ekim 2019

ŞAHİNARSLAN FATİH,TEKİN AHMET,ÇEBİ FERHAN

Ferhan Çebi Tam metin bildiri

Prediction of Turkish Super League Match Results Using Supervised Machine Learning Techniques

INFUS 2019, 23 Temmuz 2019

SARICAOĞLU AHMET EMİN,AKSOY ABİDİN,KAYA TOLGA

Tolga Kaya Tam metin bildiri

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