ARAMA SONUÇLARI

Toplam 575 adet sonuçtan 20 tanesi görüntülenmektedir.

Araş. Gör. Neziha Yılmaz
Akademi Profili

Tümünü Görüntüle

Best Paper Award 'Machine Learning for Communications and Networking''

IEEE International Conference on Communications, 2024

Algorithmic Trading with Machine Learning

Mathematical Sciences, Xi'an Jiaotong University, 2019

JUAN DU

Ahmet Göncü Tez Doktora Tamamlandı

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

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

Integration of drone and machine learning technology for predicting power infrastructure faults efficiently

Results in Engineering, Vol. 24, Aralık 2024, ISSN: 2590-1230

AL-SHABANI WALEED,SHAYEA IBRAHEEM,ÇAĞLAR RAMAZAN,BABAQI TAREQ

Ramazan Çağlar Özgün Makale Fault prediction Autonomous vision-based system Mathematical modeling Machine Learning Deep Learning and UAVs

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, Şubat 2024, s. 13, ISSN: 1939-1404

ATİK MUHAMMED ENES,DURAN ZAİDE,ŞEKER DURSUN ZAFER

Muhammed Enes Atik 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

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

AirWave: Enhancing UAV Connectivity in Cellular Networks through an Integrated Simulation Framework

2024 IEEE International Conference on Big Data & Machine Learning (ICBDML), Bhopal/HİNDİSTAN, 24 Şubat 2024, s. 295-302

ZOR EMİRHAN,TASKİRAN YUSUF,DAEL FARES ABDULHAFIDH DERHEM,SHAYEA IBRAHEEM ABDULLAH MOHAMMED,RZAYEVA LEİLA,SYZDYKOVA ZULEİKHA

Ibraheem Abdullah Mohammed Shayea Tam metin bildiri UAV communications 5G and beyond Handover management Reinforcement learning machine learning

Measurement and Analysis of In Vivo Microwave Dielectric Properties Collected From Normal, Benign, and Malignant Rat Breast Tissues: Classification Using Supervised Machine Learning Algorithms

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, Vol. 73, 2024, s. 11, ISSN: 0018-9456

PASTACI ÖZSOBACI NURAL,ÖNEMLİ EMRE,AYDINALP CEMANUR,YILMAZ ABDOLSAHEB TUBA

Tuba Yılmaz Abdolsaheb Özgün Makale Cancer Rats Dielectrics In vivo Microwave measurement Permittivity measurement Pathology Animal experiments breast cancer dielectric spectroscopy in vivo dielectric properties (DPs) machine learning (ML) microwave diagnostics rat breast models supervised learning

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

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-Based Digital Twin for Predictive Modeling in Wind Turbines

IEEE ACCESS, Vol. 10, Ocak 2022, ISSN: 2169-3536

CANBERK BERK

Berk Canberk Özgün Makale Wind turbines Wind farms Digital twin Predictive models Wind speed Wind forecasting Monitoring Digital twin machine learning predictive models wind energy 5G

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

The Contribution of Explainable Machine Learning Algorithms Using ROI-based Brain Surface Morphology Parameters in Distinguishing Early-onset Schizophrenia From Bipolar Disorder

ACADEMIC RADIOLOGY, Vol. 31, No. 9, Ocak 2024, s. 8, ISSN: 1076-6332

TAKIR ŞEYMA

Şeyma Takır Özgün Makale Schizophrenia Bipolar disorder Machine learning Early-onset Support vector machine K-nearest neighbors

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

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

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 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

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

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