ARAMA SONUÇLARI

Toplam 734 adet sonuçtan 20 tanesi görüntülenmektedir.

Machine learning-integrated nonlinear modeling of ductile reinforced concrete shear walls

JOURNAL OF BUILDING ENGINEERING, Vol. 118, No. 114820, Ocak 2026, ISSN: 2352-7102

TAHAEİ YAGHOUBİ SİAMAK,DEĞER ZEYNEP,WALLACE JOHN

Zeynep Değer Özgün Makale "Reinforced concrete structural walls""Machine learning-integrated modeling""Cyclic behavior""Ensemble learning"

An Improved Handover Decision Algorithm for 5G Heterogeneous Networks

2021 IEEE 15th Malaysia International Conference on Communication (MICC), 1 Aralık 2021

SHAYEA IBRAHEEM ABDULLAH MOHAMMED

Ibraheem Abdullah Mohammed Shayea Tam metin bildiri Machine learning algorithms 5G mobile communication Quality of service Machine learning Handover Throughput Ubiquitous computing

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, 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

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

Applications for Advanced Machine Learning Methods for Copper Price Forecasting

Global Joint Conference on Industrial Engineering and Its Application Areas, İSTANBUL/TÜRKİYE, 8 Ağustos 2025

ARI EMRE,GÜRCAN ÖMER FARUK,BEYCA ÖMER FARUK,ÜSTÜNDAĞ ALP

Emre Arı Tam metin bildiri Ensemble Learning Copper Prices Machine Learning

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

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

A survey of adversarial attacks on machine learning

NEUROCOMPUTING, Vol. 670, Mart 2026, s. 132573, ISSN: 0925-2312

YERLİKAYA FAHRİ ANIL,BAHTİYAR ŞERİF

Şerif Bahtiyar Özgün Makale "Artificial intelligence""Cybersecurity""Machine learning""Adversarial attacks""Data poisoning""Backdoor"

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

Explainable Artificial Intelligence for Machine Learning-Based Photogrammetric Point Cloud Classification

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 17, Ocak 2024, ISSN: 1939-1404

ATİK MUHAMMED ENES,DURAN ZAİDE,ŞEKER DURSUN ZAFER

Zaide Duran Özgün Makale Point cloud compression Three-dimensional displays Feature extraction Deep learning Buildings Solid modeling Explainable AI Classification explainable artificial intelligence (XAI) feature selection machine learning photogrammetry point cloud

Detection of Hazelnut Orchards with Sentinel-2 imagery and machine learning classification algorithms

Symposium on GeoSpatial Technologies: Visions and Horizons 2025 (GeoVisions2025), 8 Ekim 2025

ŞENGÜL GAFUR SEMİ,TÜMER İLAY NUR,SERTEL ELİF,USTAOĞLU BEYZA

İlay Nur Tümer Tam metin bildiri Hazelnut Remote sensing Sentinel-2 Machine learning Classification Phenological stages.

Integration Modes Between MCDM Methods and Machine Learning Algorithms: A Structured Approach for Framework Development

MATHEMATICS, Vol. 14, No. 1, Ocak 2026, ISSN: 2227-7390

KOCAMAN HATİCE,ASAN UMUT

Umut Asan Özgün Makale "multi-criteria decision making""machine learning""integration modes""correspondence analysis""cluster analysis""discriminant analysis""evidence-based framework""criteria development"

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

Music Genre Classification and Recommendation by Using Machine Learning Techniques

2018 Innovations in Intelligent Systems and Applications Conference (ASYU), Adana/TÜRKİYE, 4 Ekim 2018

ELBİR AHMET,ÇAM HİLMİ BİLAL,İYİCAN MEHMET EMRE,ÖZTÜRK BERKAY,AYDIN NİZAMETTİN

Nizamettin Aydın Tam metin bildiri Music genre ClassificationMachine LearningDeep LearningAcoustic features

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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