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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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”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
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“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
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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
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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
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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
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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
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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
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