ARAMA SONUÇLARI

Toplam 753 adet sonuçtan 20 tanesi görüntülenmektedir.

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

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

Outlier Detection in Wireless Sensor Networks Based on Machine Learning: 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 Wireless sensor networks Machine learning algorithms Reviews Data integrity Medical services Energy efficiency Security Internet of Things Anomaly detection Faces

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

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

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 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 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

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

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

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

Extracting Topical Information of Tweets Using Hashtags

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

ZEYNEP ZENGİN ALP,ÖĞÜDÜCÜ ŞULE

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