ARAMA SONUÇLARI

Toplam 577 adet sonuçtan 20 tanesi görüntülenmektedir.

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

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

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

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

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

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 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

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

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

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

Machine learning-based estimation of energy dissipation capacity of RC shear walls

STRUCTURES, Vol. 45, Kasım 2022, s. 10, ISSN: 2352-0124

TOPALOGLU BERKAY, TAŞKIN KAYA GÜLŞEN, SÜTCÜ FATİH, DEĞER ZEYNEP

Zeynep Değer Özgün Makale Cumulative dissipated energy Energy-based design approach Feature selection Machine learning Predictive models Reinforced concrete shear walls

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 Safe navigation Risk assessment Istanbul strait Machine learning Visibility prediction

Assessing the performance of machine learning algorithms for soil salinity mapping in Google Earth Engine platform using Sentinel-2A and Landsat-8 OLI data

ADVANCES IN SPACE RESEARCH, Vol. 69, No. 2, Ocak 2022, s. 15, ISSN: 0273-1177

AKSOY SAMET, YILDIRIM AYLİN, GORJI TAHA, TANIK AYŞE GÜL, HAMZEHPOUR NİKOO, SERTEL ELİF

Elif Sertel Özgün Makale Soil salinity Electrical conductivity Machine learning Cross-validation Google Earth Engine

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

Deep Learning-Aided Spatial Multiplexing with Index Modulation

3rd International Conference on Machine Learning for Networking (MLN’xx2020), 24 Kasım 2020

TURAN MERVE,ÖZTÜRK ERSİN,ÇIRPAN HAKAN ALİ

Hakan Ali Çırpan Tam metin bildiri

Audio Genre Classification with Semi-Supervised Feature Ensemble Learning

2nd International Workshop on Machine Learning and Music MML 2009, 7 Eylül 2009

YASLAN YUSUF,ÇATALTEPE ZEHRA

Yusuf Yaslan Tam metin bildiri

Meta continual learning on graphs with experience replay

Transactions on Machine Learning Research, Ocak 2024, ISSN: 2835-8856

ÜNAL ALTAY,AKGÜL ABDULLAH,KANDEMİR MELİH,ÜNAL GÖZDE

Gözde Ünal Özgün Makale

Transfer precipitation learning via patterns of dependency matrix-based machine learning approaches

Springer Science and Business Media LLC, Vol. 34, Ağustos 2022, ISSN: 0941-0643

ALTUNKAYNAK ABDÜSSELAM, KÜLLAHCI KÜBRA

Abdüsselam Altunkaynak Özgün Makale

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