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Toplam 990 adet sonuçtan 20 tanesi görüntülenmektedir.

Dr. Öğr. Üyesi İhsan Burak Kulga
Detaylı Profil

Tümünü Görüntüle

Insights from a Novel Graduate-Level Planning Studio Design: Research- and Experience-Based Learning

European Engineering Learning Innovation and Science Alliance (EELISA) Research-Based Learning Symposium, İstanbul/TÜRKİYE, 17 Mayıs 2022

AKÇAKAYA WAITE JR İMGE

İmge Akçakaya Waıte Jr Özet Bildiri Research-based learningExperiential learningGraduate educationPlanning studioIstanbul Technical University

Music Education Learning Tchniques Over Wrong

International Academic Conference on Teaching, Learning and E-learning in Budapest, Budapeşte/MACARİSTAN, 8 Temmuz 2016

ÖNERTÜRK CEM

Cem Önertürk Özet Bildiri

Using Co-Training to Empower Active Learning

2017 25TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), No. null, 15 Mayıs 2017

AZAD PAYAM VAKIL ZADEH,YASLAN YUSUF

Yusuf Yaslan Tam metin bildiri Active Learningco-trainingmachine learningsemi-supervised learning

Audio Genre Classification with Semi-Supervised Feature Ensemble Learning

2nd International Workshop on Machine Learning and Music MML 2009, 7 Eylül 2009

YASLAN YUSUF,ÇATALTEPE ZEHRA

Yusuf Yaslan Tam metin bildiri

Transfer precipitation learning via patterns of dependency matrix-based machine learning approaches

Springer Science and Business Media LLC, Vol. 34, Ağustos 2022, ISSN: 0941-0643

ALTUNKAYNAK ABDÜSSELAM, KÜLLAHCI KÜBRA

Abdüsselam Altunkaynak Özgün Makale

Deep-learning-based crack detection with applications for the structural health monitoring of gas turbines

STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL, Vol. 19, No. 5, Ocak 2020, ISSN: 1475-9217

KHANİ MAHTAB MOHTASHAM, VAHİDNİA SAHAND, GHASEMZADEH LEİLA, YUVALAKLİOGLU MUSTAFA, OZTURK EREN, AKIN SELİM, ÜRE NAZIM KEMAL

Nazım Kemal Üre Özgün Makale Convolutional neural network CNN image processing crack detection gas turbine machine learning deep learning classification computer vision structural health monitoring

Factors influencing EFL students’ motivation in online learning: A qualitative case study

Journal of Educational Technology and Online Learning, Ocak 2021, ISSN: 2618-6586

MEŞE ESRA, SEVİLEN YILMAZ ÇİĞDEM

Esra Meşe Özgün Makale

Variational Bayes Learning from Relevant Tasks Only

NIPS 2008 Learning from Multiple Sources Workshop, 13 Aralık 2008

PELTONEN JAAKKO,YASLAN YUSUF,KASKİ SAMUEL

Yusuf Yaslan Tam metin bildiri

Bayesian Learning for Policy Search in Trajectory Control of a Planar Manipulator

2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC), Las Vegas/AMERİKA BİRLEŞİK DEVLETLERİ, 7 Ocak 2019

TAVAKOL AGHAEI VAHID, AĞABABAOĞLU ARDA, ONAT AHMET, YILDIRIM SİNAN

Ahmet Onat Tam metin bildiri Reinforcement Learning Bayesian Learning Markov Chain Monte Carlo Control Systems Robotics

Reinforcement learning-based demand-side management by smart charging of electric vehicles

ELECTRICAL ENGINEERING, Vol. 104, No. 6, Aralık 2022, s. 3933-3942, ISSN: 0948-7921

OZCELİK MELİK BUGRA, KESİCİ MERT, AKSOY NECATİ, GENÇ VEYSEL MURAT İSTEMİHAN

Veysel Murat İstemihan Genç Özgün Makale Electric vehicles Smart charging Demand-side management Markov decision process Reinforcement learning Q-learning Expected SARSA

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

Transfer sea level learning in the Bosphorus Strait by wavelet based machine learning methods

OCEAN ENGINEERING, Vol. 233, Ağustos 2021, ISSN: 0029-8018

ALTUNKAYNAK ABDÜSSELAM, KARTAL ELİF

Abdüsselam Altunkaynak Özgün Makale

Gamification of complex morphology learning: the case of Turkish

Computer Assisted Language Learning, Ocak 2021, ISSN: 0958-8221

ERYİĞİT GÜLŞEN, BEKTAŞ FATİH, ALİ UBEY, DERELİ BİHTER

Gülşen Eryiğit Özgün Makale

A joint probability model for learning related neural activity and behavioral responses that accounts for learning and executive control an application of the Temporal Difference learning algorithm

2007 New England Statistics Symposium, U. of Connecticut, Storrs, CT, ABD., No. 1, 1 Mart 2007, s. 1

OKATAN MURAT

Murat Okatan Özet Bildiri davranış nörofizyolojisipekiştirmeli öğrenmeaksiyon potansiyeli katarlarıhücre dışı sinirsel kayıt

Deep Learning-Aided Spatial Multiplexing with Index Modulation

3rd International Conference on Machine Learning for Networking (MLN’xx2020), 24 Kasım 2020

TURAN MERVE,ÖZTÜRK ERSİN,ÇIRPAN HAKAN ALİ

Hakan Ali Çırpan Tam metin bildiri

Deep Learning-Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation

IEEE TRANSACTIONS ON MEDICAL IMAGING, Vol. 39, No. 12, Aralık 2020, s. 4001-4010, ISSN: 0278-0062

ÖKSÜZ İLKAY,CLOUGH JAMES R.,RUİJSİNK BRAM,PUYOL-ANTON ESTHER,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,KİNG ANDREW P.,SCHNABEL JULİA A.

İlkay Öksüz Özgün Makale Image segmentationMotion segmentationBiomedical imagingImage reconstructionDeep learningTask analysisImage qualityImage qualityimage segmentationdeep learningcardiac MRIimage artefactsCONVOLUTIONAL NEURAL-NETWORKSIMAGE

E Learning Multiple Intelligences Theory MI And Learner Centred Instruction Adapting MI Learning Theoretical Principles To The Instruction Of Health And Safety To Construction Managers

Journal of College Teaching & Learning (TLC), Vol. 6, No. 2, Ocak 2011, ISSN: 2157-894X

MCNAMEE PAUL,MADDEN DAVE,MCNAMEE FRANK,WALL JOHN,HURT ALAN,CHARALAMBOS VRASİDAS,LUCİLE CHANQUOY,BACCİNO THİERRY,ACAR EMRAH,YAZICI ÖNEY ELA,JORDAN ANN

Emrah Acar Özgün Makale

Integrating Service Learning Projects into Civil Engineering Courses

International Journal for Service Learning in Engineering, 2007, ISSN: 1555-9033

ZHANG XİAOQİ,GARTNER NATHAN,GÜNEŞ OĞUZ,TİNG JOHN M

Oğuz Güneş Özgün Makale

Cardiac MR Motion Artefact Correction from K-space Using Deep Learning-Based Reconstruction

MACHINE LEARNING FOR MEDICAL IMAGE RECONSTRUCTION, MLMIR 2018, Vol. 11074, No. null, 16 Eylül 2018, s. 21-29

ÖKSÜZ İLKAY,CLOUGH JAMES R.,BUSTİN AURELİEN,CRUZ GASTAO,PRİETO CLAUDİA,BOTNAR RENE,RUECKERT DANİEL,SCHNABEL JULİA A.,KİNG ANDREW P.

İlkay Öksüz Tam metin bildiri Cardiac MRImage reconstructionDeep learningUK BiobankImage artefactsImage qualityAutomapCONVOLUTIONAL NEURAL-NETWORKSINVERSE PROBLEMS

Combining predictive base models using deep ensemble learning

JOURNAL OF INTELLIGENT AND FUZZY SYSTEMS, Vol. 39, No. 5, Ocak 2020, s. 6657-6668, ISSN: 1064-1246

ÖNER MAHİR, ÜSTÜNDAĞ ALP

Alp Üstündağ Özgün Makale Deep Learning Ensemble LearningLSTM

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