ARAMA SONUÇLARI

Toplam 1547 adet sonuçtan 20 tanesi görüntülenmektedir.

Arama









Yıllara göre arama

Özel Aralık Girişi

The Prediction of Pier Dynamics Using LSTM Deep Learning Network-based SAP2000 Analysis
3rd International Conference on Applied Mathematics in Engineering (ICAME 2024), Balıkesir/TÜRKİYE, 26 Haziran 2024, s. 201
ÇAKMAK RABİA MERVE,BAYINDIR CİHAN,ERBAY ABDULLAH BURAK
Learning-Based Fast Decision for Task Execution in Next Generation Wireless Networks
IEEE 28th International Conference on Telecommunications (ICT’21), 1 Haziran 2021
ATAN BESTE, ÇALIK NURULLAH, TEDİK BAŞARAN SEMİHA, BAŞARAN MEHMET, DURAK ATA LÜTFİYE
Semiha Tedik Başaran Tam metin bildiri
AI-Empowered Fast Task Execution Decision for Delay-Sensitive IoT Applications in Edge Computing Networks
IEEE ACCESS, Vol. 11, Ocak 2023, ISSN: 2169-3536
AKKUZU BESTE, BAŞARAN MEHMET, ÇALIK NURULLAH, TEDİK BAŞARAN SEMİHA, DURAK ATA LÜTFİYE, AKKUZU GÜLDE
Nonparametric joint shape learning for customized shape modeling
Computerized Medical Imaging and Graphics, Vol. 34, No. 4, Haziran 2010, s. 298-307, ISSN: 08956111
ÜNAL GÖZDE
Gözde Ünal Özgün Makale
Predicting Ocean Energy Harvesting Dynamics using LSTM Deep Learning Network
34th Asian-Pacific Technical Exchange and Advisory Meeting on Marine Structures TEAM 2020/21 Conference, İstanbul/TÜRKİYE, 6 Aralık 2021, s. 416-423
ALAN ALİ RIZA,BAYINDIR CİHAN
Cihan Bayındır Tam metin bildiri
The Predictability of the 30 October 2020 İzmir-Samos Tsunami Hydrodynamics and Enhancement of Its Early Warning Time by LSTM Deep Learning Network
WATER, Vol. 15, No. 4195, Ocak 2023, ISSN: 2073-4441
ALAN ALİ RIZA,BAYINDIR CİHAN,ÖZAYDIN FATİH,ALTINTAŞ AZMİ ALİ
Cihan Bayındır Özgün Makale
Deshufflegan: A Self-Supervised Gan to Improve Structure Learning
2020 IEEE International Conference on Image Processing (ICIP), 25 Ekim 2020
BAYKAL CAN GÜLÇİN,ÜNAL GÖZDE
Factors affecting the intention to use a web based learning system among blue collar workers in the automotive industry
Computers in Human Behavior, Vol. 27, No. 1, Ocak 2011, s. 343-354, ISSN: 07475632
DEMET KARAALİ,ALTIN GÜMÜŞSOY ÇİĞDEM,ÇALIŞIR FETHİ
Fethi Çalışır Özgün Makale
Comparison of semi-automatic and deep learning-based automatic methods for liver segmentation in living liver transplant donors
Diagnostic and Interventional Radiology, Vol. 26, No. 1, Ocak 2020, s. 11-21, ISSN: -
KAVUR ALİ EMRE,GEZER NACİYE SİNEM,BARIŞ MUSTAFA MAHMUT,ŞAHİN YUSUF HÜSEYİN,ÖZKAN SAVAŞ,BAYDAR BORA,YÜKSEL ULAŞ,KILIKÇIER ÇAĞLAR,OLUT ŞAHİN,AKAR GÖZDE BOZDAĞI,ÜNAL GÖZDE,DİCLE OĞUZ,SELVER MUSTAFA ALPER
Gözde Ünal Özgün Makale
System and method for prototyping by learning from examples wherein a prototype is calculated for each shape class cluster
Patent No: 8,380,644, Patent Sınıfı: US, 2013
A. ZOUHAR, S.H. BALOCH, S. AZERNİKOV, C. BAHLMANN, T. FANG, G. UNAL, S. FUCHS
Gözde Ünal Patent SECTION H - ELECTRICITY
High performance machine learning system based on predictive error compensation network and the associated device
Patent No: WO2023113729A1, Patent Sınıfı: G06N, 2023
BURAK BERK ÜSTÜNDAĞ; ,ALPER CEM YILMAZ,AJLA KULAGLIC
Burak Berk Üstündağ Patent SECTION G - PHYSICS
Learning from Film Spaces
Studio-X Istanbul, 18 Haziran 2015 - 18 Temmuz 2015
ASLIHAN ŞENEL, SEVGİ TÜRKKAN, OZAN AVCI, ZEYNEP ATAŞ, ITU FİRST YEAR ARCHİTECTURE STUDENTS
Özgür Esra Kahveci Payal Sanatsal Faaliyet SERGİ
Automated Oral Cancer Screening: Detection and Classification of Oral Lesions Using Deep Learning to Detect Oral Potentially Malignant Disorders
Patent No: 63164594, 2021
ONUR ERGEN ,MUSTAFA ERGEN,MERVA SOLUK TEKKEŞİN,GİZEM TANRİVER
Onur Ergen Patent SECTION A - HUMAN NECESSITIES
”IMIAD Digital Representation Techniques: Learning by Doing” Çalıştayı
İstanbul Teknik Üniversitesi Mimarlık Fakültesi, 3 Nisan 2019 - 15 Mayıs 2019
DOÇ.DR. ERVİN GARİP, DOÇ.DR. BANU GARİP, HAYRİ ATAK, ARAŞ.GÖR. AYCAN KIZILKAYA
Aycan Kızılkaya Sanatsal Faaliyet Diğer
“IMIAD Digital Representation Techniques: Learning by Doing” Çalıştayı Sergisi
İstanbul Teknik Üniversitesi Mimarlık Fakültesi, 15 Mayıs 2019 - 31 Mayıs 2019
DOÇ.DR. ERVİN GARİP, DOÇ.DR. BANU GARİP, HAYRİ ATAK, ARAŞ.GÖR. AYCAN KIZILKAYA
Aycan Kızılkaya Sanatsal Faaliyet SERGİ
The effect of using different feature sets and flight data envelopes on the fidelity of deep learning based system identification of a fighter aircraft
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
MEHMET CAN ŞEN
Barış Başpınar Tez Yüksek Lisans Tamamlandı
Design of an emotion recognition system using machine learning for maritime operations: Development of a cognitive interface with psychophysiological data analysis
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
ABBAS ALIPANAH KORDLAR
Leyla Tavacıoğlu Tez Yüksek Lisans Tamamlandı
Developing a Self-Learning Based Method that Can Be Used as a Reinforcer of PID Control Algorithm and / or an Alternative to PID
Fen Bilimleri Enstitüsü, Sabancı Üniversitesi, 2020
COŞKU ISPALAR
Ahmet Onat Tez Yüksek Lisans Devam Ediyor
Bayesian reinforcement learning with MCMC to maximize energy output in hardware-in-the-loop simulations of vertical axis wind turbine
Mühendislik ve Fen Bilimleri Enstitüsü, Sabancı Üniversitesi, 2021
USAMAH YAASEEN OSMAN
Ahmet Onat Tez Yüksek Lisans Tamamlandı
Design of an emotion recognition system using machine learning for maritime operations: Development of a cognitive interface with psychophysiological data analysis
Lisansüstü Eğitim Enstitüsü, İstanbul Teknik Üniversitesi, 2024
ABBAS ALIPANAH KORDLAR
Mustafa Ersel Kamaşak Tez Yüksek Lisans Tamamlandı

İLETİŞİM BİLGİLERİ

İstanbul Teknik Üniversitesi Rektörlüğü İTÜ Ayazağa Kampüsü Rektörlük Binası, Maslak-Sarıyer / İstanbul Tel: +90 212 285 3930