Ensemble and deep learning on astronomical data with different modalities
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2023
FATMA KUZEY EDEŞ HUYAL
|
Deep learning-based keypoints driven visual inertial odometry for GNSS-denied flight
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2023
ARSLAN ARTYKOV
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Machine learning assisted massively parallel crystal structure prediction
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2023
SAMET DEMİR
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Global gravity field recovery from low-low satellite-to-satellite tracking with enhanced spatiotemporal resolution using deep learning paradigm
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2023
METEHAN UZ
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Deep learning based road segmentation from multi-source and multi-scale data
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2023
OZAN ÖZTÜRK
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Obfuscated JavaScript detection using syntactically and lexically enhanced machine learning
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2023
EREN KILIÇ
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Improving sample efficiency in reinforcement learning control using autoencoders
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2023
BURAK ER
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An innovative and accurate deep learning based HER2 scoring method HER2-unet
BİLİŞİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2018
FARIBA DAMBAND KHAMENEH
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Prediction of personality traits from videos by using machine learning algorithms
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2019
ERTAN TAŞ
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Informal learning, knowledge construction, and social media: The case of construction industry professionals
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2014
RAMTİN ETEMADİ
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Quadcopter trajectory tracking control using reinforcement learning
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2019
MUSTAFA ERDEM
|
Fully supervised and semi-supervised semantic segmentation of cardiac mr using deep learning
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2021
MAHYAR BOLHASSANI
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Bayesian reinforcement learning with MCMC to maximize energy output of vertical axis wind turbine
MÜHENDİSLİK VE FEN BİLİMLERİ ENSTİTÜSÜ, SABANCI ÜNİVERSİTESİ, 2019
ARDA AĞABABAOĞLU
|
Searches for supersymmetry with deep learning
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2016
İLKNUR KÖSEOĞLU
|
Search for direct supersymmetric top quark with deep learning techniques at LHC and HL-LHC
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2018
CEREN GÜZELGÜN
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Improved hilbert huang transform supported by machine learning algorithms for signal analysis
FEN BİLİMLERİ ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2019
HAMİD ERİNÇ KARATOPRAK
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Deep learning for wind energy systems using the hurst exponent and statistical parameters
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2021
BEHNAZ ALAFI
|
A Machine Learning Approach for Locating
Businesses Along Main Arteries in Inner
Cities
IEREK Conference, 3 Aralık 2021
SARI ELÇİN,BASU PRİTHWİSH,AS İMDAT
|
Enhance the Effectiveness of Leak Detection in Water
Distribution Networks (WDNs) Using Machine Learning (ML)
and Pressure Transducers
International Journal of Robotics and Control Systems, Ocak 2025, ISSN: 2775-2658
SHAYEA IBRAHEEM ABDULLAH MOHAMMED
|
Single Controller For Multiple Aircraft by Modular Deep Reinforcement Learning
10th CEAS Aerospace Europe Conference / 28th AIDAA International Congress, TURIN/İTALYA, 1 Aralık 2025
SARIGÜL FATİH AHMET,BAYEZİT İSMAİL
|