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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
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
Machine learning Methods for Dynamic Plants
Fen Bilimleri Enstitüsü, Sabancı Üniversitesi, 2021
BIRAM BAWO
Ahmet Onat Tez Yüksek Lisans Devam Ediyor
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
The feasibility analysis of re ranking for N best lists on English Turkish machine translation
IEEE International Symposium on Innovations in Intelligent Systems and Applications (INISTA), 19 Ağustos 2013, s. 1-5
YILDIRIM EZGİ,TANTUĞ AHMET CÜNEYD
Ahmet Cüneyd Tantuğ Tam metin bildiri machine translationbleu+n-best listre-ranking
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
Implementing machine directional basis weight control for a pilot paper machine
CONTROL ENGINEERING PRACTICE, Vol. 9, No. 6, Haziran 2001, s. 621-630, ISSN: 0967-0661
BAKİ HÜSAMETTİN,WANG HO,SÖYLEMEZ MEHMET TURAN
Mehmet Turan Söylemez Özgün Makale
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
Tayfun Uyanık Özgün Makale Fuel consumptionMachine learningPerformance monitoringShip operational efficiencyREGRESSIONREDUCTIONSYSTEMSRIDGEdata drivenenergy efficiencycontainer vesselfuel oilfuel consumption
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
A Machine Learning-Based Decision Support System Design for Restraining Orders in Turkey
2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC), Vol. 1, No. AIML: Artificial Intelligence & Machine Learning: Applications, Challenges & Concerns, 12 Temmuz 2021, s. 1520-1525, ISSN: 0730-3157
AY HÜSEYİN UMUTCAN, ÖNER ALİME AYSU, YILDIRIM NİHAN, KAYA TOLGA
Nihan Yıldırım Tam metin bildiri
Building the first comprehensive machine-readable Turkish sign language resource: methods, challenges and solutions
LANGUAGE RESOURCES AND EVALUATION, Vol. 54, No. 1, Mart 2020, s. 97-121, ISSN: 1574-020X
PAMAY ARSLAN TUĞBA, ERYİĞİT GÜLŞEN, TORUNOĞLU SELAMET DİLARA
Tuğba Pamay Arslan Özgün Makale Turkish sign languageTiDParallel dependency treebankTurkishMachine-readableParallel corpusEXPRESSION
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
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
Modeling, Identification, and Predictive Control of a Driver Steering Assistance System
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, Vol. 47, No. 5, 2017, s. 700-710, ISSN: 2168-2291
ERCAN ZİYA,CARVALHO ASHWİN,GÖKAŞAN METİN,BORRELLİ FRANCESCO
Metin Gökaşan Özgün Makale Haptic guidance systemshuman-machine interactionmodel predictive control (MPC)motor driven power steering system (MDPS)recursive parameter estimationSHARED CONTROLDYNAMICS
High performance turning of high temperature alloys on multi tasking machine tools
New Production Technologies in Aerospace Industry, Ocak 2014, s. 1-9, ISSN: 978-3-319-01964-2
KARAGÜZEL UMUT,UTKU OLGUN,BUDAK ERHAN,BAKKAL MUSTAFA
Mustafa Bakkal Teknik Not Multi-tasking machine toolsHigh performance turning
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
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
Wavelet transform and current signature analysis for welding machine measurement
JOURNAL OF VIBROENGINEERING, Vol. 14, No. 2, Haziran 2012, s. 805-812, ISSN: 1392-8716
ÇAĞLAR RAMAZAN
Ramazan Çağlar Özgün Makale wavelet analysisfeature extractionelectric arc welding machineHall effect sensorsvibration

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