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Highlights of Challenge-Based Co-Learning Experiences in a Diverse Graduate-Level Setting: The HI-QUAKE Project Workshop
ITU Co-Learning Lab - "Crowdsourcing for Co-Creation of Knowledge with a Lifelong Learning Mindset", İstanbul/TÜRKİYE, 25 Eylül 2024, s. 6-8
AKÇAKAYA WAITE JR İMGE,AKÇAY KAVAKOĞLU AYŞEGÜL,ORUÇ ERTEKİN GÜLDEN DEMET,YÜCESOY EDA,AŞAR NERGİS
Ayşegül Akçay Kavakoğlu Özet Bildiri Challenge-based learningAI-driven learning toolsDisaster managementHI-QUAKE projectEELISA European University
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
Highlights of Challenge-Based Co-Learning Experiences in a Diverse Graduate-Level Setting: The HI-QUAKE Project Workshop
ITU Co-Learning Lab - "Crowdsourcing for Co-Creation of Knowledge with a Lifelong Learning Mindset", İstanbul/TÜRKİYE, 25 Eylül 2024, s. 6-8
AKÇAKAYA WAITE JR İMGE,AKÇAY KAVAKOĞLU AYŞEGÜL,ORUÇ ERTEKİN GÜLDEN DEMET,YÜCESOY EDA,AŞAR NERGİS
İmge Akçakaya Waıte Jr Özet Bildiri Challenge-based learningAI-driven learning toolsDisaster managementHI-QUAKE projectEELISA European University
Highlights of Challenge-Based Co-Learning Experiences in a Diverse Graduate-Level Setting: The HI-QUAKE Project Workshop
ITU Co-Learning Lab - "Crowdsourcing for Co-Creation of Knowledge with a Lifelong Learning Mindset", İstanbul/TÜRKİYE, 25 Eylül 2024, s. 6-8
AKÇAKAYA WAITE JR İMGE,AKÇAY KAVAKOĞLU AYŞEGÜL,ORUÇ ERTEKİN GÜLDEN DEMET,YÜCESOY EDA,AŞAR NERGİS
Eda Yücesoy Özet Bildiri Challenge-based learningAI-driven learning toolsDisaster managementHI-QUAKE projectEELISA European 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
Stacking-based ensemble learning for remaining useful life estimation
SOFT COMPUTING, Vol. 28, No. 2, Ocak 2024, s. 1337-1349, ISSN: 1432-7643
AY TÜRE BEGÜM,AKBULUT AKHAN,ZAİM ABDÜL HALİM,ÇATAL ÇAĞATAY
Abdül Halim Zaim Özgün Makale Deep learning; Ensemble learning; Remaining useful life; Stacking ensemble learning
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
Music Genre Classification and Recommendation by Using Machine Learning Techniques
2018 Innovations in Intelligent Systems and Applications Conference (ASYU), Adana/TÜRKİYE, 4 Ekim 2018
ELBİR AHMET,ÇAM HİLMİ BİLAL,İYİCAN MEHMET EMRE,ÖZTÜRK BERKAY,AYDIN NİZAMETTİN
Nizamettin Aydın Tam metin bildiri Music genre ClassificationMachine LearningDeep LearningAcoustic features
Integration of drone and machine learning technology for predicting power infrastructure faults efficiently
Results in Engineering, Vol. 24, Aralık 2024, ISSN: 2590-1230
AL-SHABANI WALEED,SHAYEA IBRAHEEM,ÇAĞLAR RAMAZAN,BABAQI TAREQ
Ramazan Çağlar Özgün Makale Fault prediction Autonomous vision-based system Mathematical modeling Machine Learning Deep Learning and UAVs
Socially Shared Regulation of Design Learning: “Study Dating” amongst Design Students
The 7th International Conference for Design Education Researchers, London/İNGİLTERE, 29 Aralık 2023
ÇELİK ABDULLAH TARIK
Abdullah Tarık Çelik Tam metin bildiri design educationself-regulated learning (SRL)co-regulated learningsocially shared regulation of learning (SSRL)design studentship
Explainable Artificial Intelligence (xAI) Approaches and Deep Meta-Learning Models Advances and Applications in Deep Learning
2020, Intech Open
DAĞLARLI EVREN
Evren Dağlarlı Bilimsel KitapKitap Bölümü
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
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
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
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
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
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
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
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

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