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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
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
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
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
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
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"
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
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
A new method to assess the machine design parameters on the stability of boom tunnelling machine
20th World Mining Congress, Tahran/İRAN, 7 Kasım 2005, s. 691-698
ESKİKAYA ŞİNASİ,ACAROĞLU ERGÜN ÖMÜR,ERGİN HASAN
Hasan Ergin Tam metin bildiri
Machine learning approach to ship fuel consumption: A case of container vessel
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, Vol. 84, No. 102389, Haziran 2020, s. 1-14, ISSN: 1361-9209
UYANIK TAYFUN,KARATUG CAGLAR,ARSLANOĞLU YASİN
Yasin Arslanoğlu Özgün Makale Fuel consumptionMachine learningPerformance monitoringShip operational efficiencyREGRESSIONREDUCTIONSYSTEMSRIDGEdata drivenenergy efficiencycontainer vesselfuel oilfuel consumption
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 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
Yasin Arslanoğlu Özgün Makale Fuel consumptionMachine learningPerformance monitoringShip operational efficiencyREGRESSIONREDUCTIONSYSTEMSDRIVENRIDGE
A New Method to Assess the Machine Design Parameters on the Stability of Boom Tunnelling Machine
20th World Mining Congress, 7 Kasım 2005, s. 691-698
ESKIKAYA S,ACAROĞLU ERGÜN ÖMÜR,ERGIN H
Ömür Acaroğlu Ergün Tam metin bildiri
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
Design considerations for dual winding permanent magnet synchronous machines
Energy Conversion Congress and Exposition (ECCE), 2012, Raleigh/AMERİKA BİRLEŞİK DEVLETLERİ, Vol. 1, No. 1, 15 Eylül 2012, s. 1894-1901, ISSN: 978-1-4673-0801-4
MEŞE ERKAN,TEZCAN MEHMET MURAT,AYAZ MURAT,YAŞA YUSUF
Yusuf Yaşa Tam metin bildiri Permanent Magnet Synchronous Machine Concentrated Winding Dual Winding Electric Machine Fault Tolerant Operation Hybrid Electrical Vehicle Application
An adaptive Mealy machine model for monitoring crop status
Journal of Integrative Agriculture, Eylül 2016, ISSN: 2352-3425
ÜSTÜNDAĞ BURAK BERK
Burak Berk Üstündağ Özgün Makale finite automataagriculturemealy machine modelremote sensingyield prediction
Evolved model for early fault detection and health tracking in marine diesel engine by means of machine learning techniques
Pomorstvo, Vol. 36, No. 1, Ağustos 2022, s. 95-104, ISSN: 1332-0718
ŞAHİN TOLGA, İMRAK CEVAT ERDEM, ÇAKIR MUAMMER ALTAN, CANDAŞ ADEM
Adem Candaş Özgün Makale Machine learningMulticlass classificationMarine diesel engineFault detectionDECISION-SUPPORT-SYSTEMCLASSIFICATION
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

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