ARAMA SONUÇLARI

Toplam 710 adet sonuçtan 20 tanesi görüntülenmektedir.

A Literature Review on Machine Learning in The Food Industry

Alphanumeric Journal, Vol. 11, Aralık 2023, ISSN: 2148-2225

AÇIKGÖZ FURKAN,VERÇİN LEYLA,ERDOĞAN GAMZE

Gamze Erdoğan Özgün Makale Machine Learning Food Food Industry Support Vector Machine Classification

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

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

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 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 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

Prediction of flyrock distances using XGBoost machine learning method

13th WORLD CONFERENCE ON EXPLOSIVES AND BLASTING, Krakow/POLONYA, 20 Eylül 2025, s. 315-324

AĞAN YAŞAR,HÜDAVERDİ TÜRKER

Yaşar Ağan Tam metin bildiri Blasting Machine LearningFlyrock

Machine learning assisted estimation of total solids content of drilling fluids

ARTIFICIAL INTELLIGENCE IN GEOSCIENCES, Vol. 6, No. 2, Ocak 2025, s. 18, ISSN: 26665441

GÜNEL BERAT TUĞBERK,PAK YASEMİN DEFNE,HEREKELİ AHMET ÖZGÜN,GÜL SERCAN,KULGA İHSAN BURAK,ARTUN FAZIL EMRE

İhsan Burak Kulga Özgün Makale Drilling fluids Total solids content Machine learning

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

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

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