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Extracting Structural Elements From 3D Point Clouds in Indoor Environments via Machine Learning Techniques
IEEE ACCESS, Vol. 12, Ocak 2024, ISSN: 2169-3536
AKSU KORAY,DEMİREL HANDE
Hande Demirel Özgün Makale "3D point cloud""classification""explainable machine learning""indoor environment""local neighborhood""machine learning""structural element""terrestrial laser scanning""classification""explainable machine learning""indoor environment""local neighborhood""machine learning""structural element""terrestrial laser scanning"
Machine Learning-Based Dynamic Hosting Capacity for Bidirectional EVs
IEEE ACCESS, Vol. 14, Ocak 2026, ISSN: 2169-3536
KARAHAN OĞUZHAN,BAĞRIYANIK MUSTAFA
Oğuzhan Karahan Özgün Makale "Uncertainty""Planning""Machine learning""Stochastic processes""Accuracy""Charging stations""Vehicle-to-grid""Vehicle dynamics""Transformers""Adaptation models""Classification""electric vehicle""grid to vehicle""hosting capacity""machine learning""regression""vehicle to grid"
Machine learning-based classification of maritime accidents
Ships and Offshore Structures, Mart 2025, ISSN: 1744-5302
ATAK ÜSTÜN,DEMİRAY AHMET
Üstün Atak Özgün Makale "Maritime transportation""accident analysis""machine learning""classification"
Breast Cancer Detection Based on Machine Learning
2024 IEEE 13th International Conference on Communication Systems and Network Technologies (CSNT), 6 Nisan 2024
SHAYEA IBRAHEEM ABDULLAH MOHAMMED
Ibraheem Abdullah Mohammed Shayea Tam metin bildiri Support vector machines Visualization Machine learning algorithms Mortality rate Machine learning Breast cancer Bayes methods
Algorithmic Trading with Machine Learning
Mathematical Sciences, Xi'an Jiaotong University, 2019
JUAN DU
Ahmet Göncü Tez Doktora Tamamlandı
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
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
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
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
Customised Intrusion Detection for an Industrial IoT Heterogeneous Network Based on Machine Learning Algorithms Called FTL-CID
SENSORS, Vol. 23, No. 1, Ocak 2023, ISSN: 0
İNALHAN GÖKHAN
Gökhan İnalhan Özgün Makale "Internet of Things (IoT)""security""distributed sensors""intrusion detection""machine learning""application""AMI""attacks"
Streaming Membership Inference Attack (SMIA): Identifying Privacy Vulnerabilities in Dynamic Machine Learning Models
3rd International Conference on Emerging Trends and Applications in Artificial Intelligence, İstanbul/TÜRKİYE, 15 Mayıs 2026
BAYSAL ENGİN
Engin Baysal Tam metin bildiri Membership Inference Attacks Streaming Data Privacy Machine Learning Concept Drift Adversarial Attacks
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, s. 438-476, ISSN: 2630-5771
KURUOĞLU MURAT,TOKDEMİR ONUR BEHZAT,UÇAK ŞİRİN ŞEVVAL,KESER AHMET ESAT
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
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 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 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
Prediction of the traffic incident duration using statistical and machine-learning methods: A systematic literature review
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, Vol. 207, Ocak 2024, s. 23, ISSN: 0040-1625
KORKMAZ HÜSEYİN,ERTÜRK MEHMET ALİ
Mehmet Ali Ertürk Derleme Makale Incident duration analysis Traffic incident duration prediction Traffic congestion Intelligent transportation systems Machine learning Data mining

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