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
|
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
|
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
|
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
|
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
|
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
|
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
|
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
|
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.
|
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
|
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
|
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.
|
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
|
Collaborative Design of Learning Centers in an Active Learning Classroom With Students and Teachers
ArchNet-IJAR: International Journal of Architectural Research, 6 Aralık 2019 - 3 Ocak 2020
|
Learning: Alternative Designs for Universities- Honorable Mention
Non Architecture, Diğer, 2019
|
Algorithmic Trading with Machine Learning
Mathematical Sciences, Xi'an Jiaotong University, 2019
JUAN DU
|
Developing a decision-support system using machine learning and deep learning models for daily demand forecasting: A case study
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
RANA EZGİ KÖSE
|
A memory and meta learning based solution in graph continual learning
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
ALTAY ÜNAL
|
Scalable planning and learning framework development for swarm-to-swarm engagement problems with reinforcement learning
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2022
UMUT DEMİR
|
Short-term forecasting of wind power production using machine learning and deep learning methods
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2018
FEYRUZ AKSOY
|