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Toplam 981 adet sonuçtan 20 tanesi görüntülenmektedir.

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

A real-world application of Markov chain Monte Carlo method for Bayesian trajectory control of a robotic manipulator

ISA TRANSACTIONS, Vol. 125, Ocak 2022, s. 580-590, ISSN: 0019-0578

TAVAKOL AGHAEI VAHID, AĞABABAOĞLU ARDA, YILDIRIM SİNAN, ONAT AHMET

Ahmet Onat Özgün Makale Reinforcement learning Markov chain Monte Carlo Bayesian learning Intelligent control Policy search

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

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

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

Scanning strategy learning for electronic support receivers by robust principal component analysis

SPIE 11870, Artificial Intelligence and Machine Learning in Defense Applications III, 12 Eylül 2021

GÜL İSMAİL, ERER IŞIN

Işın Erer Tam metin bildiri

Recovery of impenetrable rough surface profiles via CNN-based deep learning architecture

INTERNATIONAL JOURNAL OF REMOTE SENSING, Vol. 43, Ocak 2022, s. 28, ISSN: 0143-1161

AYDIN İZDE, BUDAK GÜVEN, SEFER AHMET, YAPAR ALİ

Ali Yapar Özgün Makale Convolutional neural network deep learning inverse scattering problems rough surface imaging

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

Learning by Doing Studio Based Learning in Inclusive Design Lessons

21st IAPS conference “Vulnerability, Risk and Complexity: Impacts of Global Change on Human Habitats”, Leipzig, Germany, Leipzig/ALMANYA, 27 Haziran 2010

İNALHAN GÖKSENİN,TİFTİK CEMİLE,GÜR ELMİRA AYŞE

Cemile Tiftik Özet Bildiri

A survey analysis on teaching purposes and learning perceptions for relations between theories and applications in undergraduate mathematics

8th International Conference on Education and New Learning Technologies, Barcelona/İSPANYA, 4 Temmuz 2016, s. 8828-8837

MİZRAHİ ETİ, HACINLIYAN İRMA, INTEPE GIZEM

İrma Hacınlıyan Tam metin bildiri lisans matematik eğitimi

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

PURAL YUSUF ENES

Yusuf Enes Pural Tam metin bildiri FlotationGrade EstimationMachine LearningRandom ForestMulti-Layer Perceptron

An Efficient Ensemble Deep Learning Approach for Semantic Point Cloud Segmentation Based on 3D Geometric Features and Range Images

SENSORS, Vol. 22, No. 16, Ağustos 2022, s. 6210, ISSN: 1424-8220

ATİK MUHAMMED ENES, DURAN ZAİDE

Muhammed Enes Atik Özgün Makale autonomous driving deep learning light detection and ranging (LiDAR) point cloud semantic segmentation

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

Tayfun Uyanık Özgün Makale Safe navigation Risk assessment Istanbul strait Machine learning Visibility prediction

A Guideline for Complex Permittivity Retrieval of TissueMimicking Phantoms From OpenEnded Coaxial Probe Response With Deep Learning

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, Vol. 70, No. 11, Ekim 2022, s. 5105-5115, ISSN: 0018-9480

JOOF SULAYMAN, AYDINALP CEMANUR, DİLMAN İSMAİL, AKINCI MEHMET NURİ, YILMAZ ABDOLSAHEB TUBA, ÇAYÖREN MEHMET, AKDUMAN İBRAHİM

Mehmet Çayören Özgün Makale Admittance model complex permittivity (CP) Debye parameters deep learning openended coaxial probe (OECP)

A Compromise-Based New Approach to Learning Fuzzy Cognitive Maps

Advances in Intelligent Systems and Computing, İstanbul/TÜRKİYE, Vol. 1197, 21 Temmuz 2020, s. 1172

MURAT MİRAÇ,ASAN UMUT

Miraç Murat Tam metin bildiri Particle swarm optimizationMultiple input dataMean squared deviationLearning Fuzzy Cognitive MapsCompromise

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

NEURAL COMPUTING & APPLICATIONS, Vol. 34, No. 24, Ocak 2022, ISSN: 0941-0643

KÜLLAHCI KÜBRA, ALTUNKAYNAK ABDÜSSELAM

Kübra Küllahcı Özgün Makale Correlation matrix patterns Fuzzy KNN Multilinear regression Transfer precipitation

Energy-aware mobility for aerial networks: A reinforcement learning approach

INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT, Vol. 32, No. 1, Ocak 2022, ISSN: 1055-7148

BOZKAYA ELİF, ÖZÇEVİK YUSUF, AKKOÇ MERTKAN, EROL MUHAMMED RAŞİT, CANBERK BERK

Berk Canberk Özgün Makale aerial base stationaerial networksenergy-aware deploymenthandoverreinforcement learninguser mobility patternWIRELESS NETWORKSDEPLOYMENT

Learning from students: Reflections from personal magazines in Basic Design course

Design and Technology Education: An International Journal, Vol. 20, No. 1, Ocak 2015, s. 29-37, ISSN: 1360-1431

GELMEZ KORAY,BAĞLI HATİCE HÜMANUR

Koray Gelmez Özgün Makale design education basic design industrial design reflective writing writing-to-learn learning

Using Weka Data-Mining Analysis To Determine Ship EmergencyPreparedness Level In Case Of Fire

Future Learning 2018 (7th International Conference on “Innovations in Learning for the Future”: Digital Transformation inEducation), Istanbul/TÜRKİYE, 11 Eylül 2019

OZTURK TAC BURCU,ÇELİK METİN,AKYÜZ EMRE

Emre Akyüz Tam metin bildiri

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

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