ARAMA SONUÇLARI

Toplam 750 adet sonuçtan 20 tanesi görüntülenmektedir.

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

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

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

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

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.

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

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

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

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

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 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

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

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

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

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

Outlier Detection in Wireless Sensor Networks Based on Machine Learning: 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 Wireless sensor networks Machine learning algorithms Reviews Data integrity Medical services Energy efficiency Security Internet of Things Anomaly detection Faces

Future Communication Systems: Toward the Intelligent-based Optimization Approaches

2023 10th International Conference on Wireless Networks and Mobile Communications (WINCOM), 26 Ekim 2023

SHAYEA IBRAHEEM ABDULLAH MOHAMMED

Ibraheem Abdullah Mohammed Shayea Tam metin bildiri 6G mobile communication Machine learning algorithms 5G mobile communication Wireless networks Knowledge based systems Optimization methods Machine learning

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

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"

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