ARAMA SONUÇLARI

Toplam 710 adet sonuçtan 20 tanesi görüntülenmektedir.

INCREASING THE EFFICIENCY OF EMG SIGNALS BY USING MACHINE LEARNING ALGORITHMS

10th International Conference on Image Processing, Wavelet and Applications (IWW2019), Kocaeli/TÜRKİYE, 18 Ekim 2019

PARLAK EMRE,ÖZER ÇAĞDAŞ,TAKAOĞLU MUSTAFA

Emre Parlak Özet Bildiri EMG SignalsMachine Learning AlgorithmsSignal ProcessingSignal EfficiencyMYO Armband

Machine learning-based predictive models for equivalent damping ratio of RC shear walls

BULLETIN OF EARTHQUAKE ENGINEERING, Vol. 21, No. 1, Ocak 2023, ISSN: 1570-761X

SÜTCÜ FATİH,TAŞKIN KAYA GÜLŞEN,DEĞER ZEYNEP

Fatih Sütcü Özgün Makale Machine learning Reinforced concrete shear walls Equivalent damping ratio Gaussian process regression

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

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

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

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 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 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

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, Temmuz 2020, ISSN: 1361-9209

UYANIK TAYFUN,KARATUĞ ÇAĞLAR,ARSLANOĞLU YASİN

Yasin Arslanoğlu Özgün Makale Fuel consumptionMachine learningPerformance monitoringShip operational efficiencyREGRESSIONREDUCTIONSYSTEMSDRIVENRIDGE

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

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

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

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

Variant Analysis in Human Genome Sequences Using Surrogate Modelling and Machine Learning

V. INTERNATIONAL APPLIED STATISTICS CONGRESS (UYIK - 2024), İstanbul/TÜRKİYE, 21 Mayıs 2024

AYDIN FURKAN,TUNA SÜHA

Süha Tuna Tam metin bildiri Variant Analysis Genomic Sequences Enhanced multivariance Products Representation Machine learning Gen network Analysis

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 tree trimming for faster Markov reward game solutions

Journal of Computational Science, Vol. 92, Aralık 2025, s. 102726, ISSN: 1877-7503

İZGİ BURHANEDDİN,ÖZKAYA MURAT,ÜRE NAZIM KEMAL,PERC MATJAZ

Burhaneddin İzgi Özgün Makale Machine learning Convolutional neural networks Matrix norm-based method Markov decision process Markov reward games

Machine Learning-Based Error Correction Codes and Communication Protocols for Power Line Communication: An Overview

IEEE Access, Vol. 11, Ocak 2023, s. 124760-124781, ISSN: 2169-3536

AKINCI TAHİR ÇETİN, ERDEMİR GÖKHAN, ZENGİN AYDIN TARIK, ŞEKER ŞAHİN SERHAT, IDRİSS ABDOULKADER IBRAHİM

Aydın Tarık Zengin Derleme Makale Power line communication error correction codes machine learning transmission control protocols communication protocols power networks

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