APPLICATION OF MACHINE LEARNING METHODS FOR PREDICTION OF SEAFARER SAFETY PERCEPTION
International Journal of Maritime Engineering, Vol. 164, Şubat 2023, ISSN: 1479-8751
ARSLANOĞLU BİRGÜL, ELİDOLU GİZEM, UYANIK TAYFUN
|
On developments in interactive web based learning modules in a thermal fluids engineering course Part II
International Journal of Engineering Education, 2004
ÖZER TEOMAN,ERNEST CRAVALHO
|
On developments in interactive web based learning modules in a thermal fluids engineering course
Journal of Engineering Education, 2003
ÖZER TEOMAN,JG BRİSSON,EG CRAVALHO,GH MCKİNLEY,MM KENWORTHY
|
Learning from students: Reflections from personal magazines in Basic Design course
DRS 2014 Conference The Big Debates, Umea/İSVEÇ, 16 Haziran 2014
GELMEZ KORAY,BAĞLI HATİCE HÜMANUR
|
Learning Station Design Guide
İstanbul/TÜRKİYE, 2024, İTÜ Yayınevi
AHMETOLAN SEMRA,GÖRGÜL EMİNE,ÇALIMLI AKGÜN MERVE,ACAR EMRAH
|
GNSS Time Series Analysis with Machine Learning Algorithms: A Case Study for Anatolia
Remote Sensing, Vol. 16, No. 17, Eylül 2024, ISSN: 2072-4292
ÖZBEY VOLKAN,ERGİNTAV SEMİH,TARI ERGİN
|
Efficient Incorporation of Flow Into Visual Motion Estimation in Tracking Machine Learning and Robot Perception
2005, s. 167-202, Springer
ÜNAL GÖZDE,ANTHONY YEZZİ,HAMİD KRİM
|
Blending Language Class with Online Learning Student Achievement and Perceptions
14th INGED International ELT Conference: Piecing it Together, 22 Ekim 2010
BİLGİN HATİCE
|
Students’ CALLing: Blended language learning for students Blended Learning in English Language Teaching: Course Design and Implementation
London/İNGİLTERE, 2013, s. 207-211, British Council
BİLGİN HATİCE
|
ALReg: Registration of 3D Point Clouds Using Active Learning
Applied Sciences, Vol. 13, No. 13, Haziran 2023, ISSN: 2076-3417
ŞAHİN YUSUF HÜSEYİN,KARABACAK OĞUZHAN,KANDEMİR MELİH,ÜNAL GÖZDE
|
Evidential Turing Processes
International Conference on Learning Systems - ICLR, 25 Nisan 2022
KANDEMİR MELİH, AKGÜL ABDULLAH, HAUSSMANN MANUEL, ÜNAL GÖZDE
|
Deshufflegan: Self-supervised learning for generative adversarial networks
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2020
GÜLÇİN BAYKAL CAN
|
Deep learning-based techniques for 3D point cloud analysis
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2023
YUSUF HÜSEYİN ŞAHİN
|
GAN-based intrinsic exploration for sample efficient reinforcement learning
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2022
DOĞAY KAMAR
|
Manifold learning for image-based gating of intravascular ultrasound (IVUS) pullback sequences
Mühendislik ve Fen Bilimleri Enstitüsü, Sabancı Üniversitesi, 2011
GÖZDE GÜL İŞGÜDER
|
Application and analysis of deep learning techniques on the problem of depth estimation from a single image
Fen Bilimleri Enstitüsü, İstanbul Teknik Üniversitesi, 2020
ALİCAN MERTAN
|
The effects of 2D-H wave directionality on LSTM deep learning predictions of the random 1D-H sea state
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2025
EMİNE ERSİN
|
Vibration control of offshore structures using deep learning prediction methods
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2022
BARIŞ NAMLI
|
Building resilience through learning landscapes: Focusing on children and post-disaster areas
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
NASIM NAEIMI SHISHAVAN
|
Unveiling the performance of pre-processing approaches in machine learning based flood susceptibility mapping
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
NİHAL GÜLCAN
|