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Özel Aralık Girişi
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
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
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
Advanced Mobility Robustness Optimization Models in Future Mobile Networks Based on Machine Learning Solutions
Institute of Electrical and Electronics Engineers (IEEE), Vol. 10, Ocak 2022, s. 19, ISSN: 2169-3536
SHAYEA IBRAHEEM ABDULLAH MOHAMMED
Ibraheem Abdullah Mohammed Shayea Özgün Makale Optimization 5G mobile communication Heuristic algorithms Handover Robustness Cellular networks Q-learning Machine learning Heterogeneous networks handover self-optimization mobility robustness optimization handover margin time-to-trigger heterogeneous networks 5G network
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
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 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
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
MetaboliticsDB: A Database of Metabolomics Analyses
IEEE TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS, Vol. 22, No. 4, Ocak 2025, ISSN: 1557-9964
ÇAKMAK ALİ
Ali Çakmak Özgün Makale "Metabolomics""biological databases""biological databases""data analysis""data analysis""visualization""visualization""machine learning""machine learning"
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
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
Comparative Study of Hyperspectral Imagery Classification with SVM and Ensemble Machine Learning Methods
6th Intercontinental Geoinformation Days (IGD), Bakü/AZERBAYCAN, 13 Haziran 2023
ATİK ŞAZİYE ÖZGE
Şaziye Özge Atik Tam metin bildiri ENSEMBLE METHODSMACHINE LEARNINGHYPER-SPECTRAL
Construction labor productivity estimation through machine learning: Performance comparison of regression algorithms
JOURNAL OF CONSTRUCTION ENGINEERING MANAGEMENT & INNOVATION, Vol. 8, No. 4, Ocak 2025, ISSN: 2630-5771
KURUOĞLU MURAT
Murat Kuruoğlu Özgün Makale "Constuction""Labor productivity""Machine learning""Regression algorithms"
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
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

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