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Comparative study on performance characteristics of PM and reluctance machines equipped with overlapping, semi-overlapping, and non-overlapping windings
IET ELECTRIC POWER APPLICATIONS, Vol. 14, No. 6, Haziran 2020, s. 991-1001, ISSN: 1751-8660
GÜNDOĞDU TAYFUN,KÖMÜRGÖZ KIRIŞ GÜVEN
Güven Kömürgöz Kırış Özgün Makale reluctance machinespermanent magnet motorstorquemachine windingsdemagnetisationpermanent magnetslow eddy permanent magnet lossnonoverlapping windingsnovel semioverlapping winding topologypermanent-magnet machinedouble-salient reluctance machineelectromagnetic performancesynchronous machine technologiesNSWsynchronous reluctance machineSynRMDESIGNMOTORFERRITE
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"
Design and analysis of interior permanent magnet machines equipped with novel semi-overlapping windings
IET ELECTRIC POWER APPLICATIONS, Vol. 14, No. 8, Ağustos 2020, s. 1446-1457, ISSN: 1751-8660
GÜNDOĞDU TAYFUN,KÖMÜRGÖZ KIRIŞ GÜVEN
Güven Kömürgöz Kırış Özgün Makale machine windingsdemagnetisationeddy current lossesfinite element analysispermanent magnet machineslow magnetomotive force harmonic contentkey design rulesnovel winding topologyinterior-permanent magnet machinefractional-concentrated windingsprototype novel semioverlapping winding IPM machineinterior permanent magnet machinessemioverlapping windingsshort-end winding lengthsconventional-distributed windingsIPM machinereduced total axial lengthlow eddy current lossesirreversible magnet demagnetisationfinite-element analysisHYBRIDSYSTEMSDRIVESMOTORS
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 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, Ocak 2025, ISSN: 1744-5302
ATAK ÜSTÜN,DEMİRAY AHMET
Üstün Atak Özgün Makale "Maritime transportation""accident analysis""machine learning""classification"
Loss analysis of high speed switched reluctance machine with integrated simulation methods
IOS Press, Vol. 56, No. 3, Şubat 2018, s. 479-497, ISSN: 1383-5416
YAŞA YUSUF,SOZER YİLMAZ,GARİP MUHAMMET
Yusuf Yaşa Özgün Makale Coupled simulationhigh speedhigh-speed electric machineiron lossskin effectswitched reluctance machineswitching lossesproximity effectPOWER LOSSESIRON LOSSESEQUATIONMOTORSMODEL
High-power density switched reluctance machine development for high-speed spindle applications
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, Vol. 26, No. 3, Şubat 2018, s. 1572-1586, ISSN: 1300-0632
YAŞA YUSUF,SOZER YİLMAZ,GARİP MUHAMMET
Yusuf Yaşa Özgün Makale Computer numerical control machineshigh-speed applicationshigh-speed electric machinemilling machinesspindle motorswitched reluctance machineDESIGN CONSIDERATIONSLOSSESMOTORS
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
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
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
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
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
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
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
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
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
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

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