Partial Discharge Pattern Classification based on Deep Learning for Defect Identification in MV Cable Terminations
2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE), 6 Eylül 2020
UCKOL HALİL IBRAHİM,İLHAN SUAT,ÖZDEMİR AYDOĞAN
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Human Action Recognition Using Deep Learning Methods on Limited Sensory Data
IEEE Sensors Journal, Vol. 20, No. 6, Mart 2020, s. 3101-3112, ISSN: 1530-437X
TÜFEK NİLAY,YALÇIN MURAT,ALTINTAŞ MÜCAHİT,KALAOĞLU FATMA,Yİ Lİ,KURŞUN BAHADIR SENEM
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MACHINE VISION BOBBIN ANALYSIS SYSTEM WITH DEEP LEARNING APPROACH
3rd International Congress of Innovative Textiles (ICONTEX 2022), 18 Mayıs 2022
EMEKDAR ELÇİN, AÇIKGÖZ TUFAN HATİCE, ŞAHİN UMUT KIVANÇ, KURŞUN BAHADIR SENEM, AYATA KONUKOĞLU SEVAL, CANSU BATÇIK, BAYTAN T.K., ÇATAK E., ŞENTÜRK Ç.D.
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A novel integrated framework for real-time prediction of transient instabilities in power systems with their severity levels using deep learning
Elsevier BV, Vol. 36, Aralık 2023, ISSN: 2352-4677
ŞEKER ŞAHİN SERHAT, GENÇ VEYSEL MURAT İSTEMİHAN, KESİCİ MERT, YASLAN YUSUF, MAHDİ MOHAMMED
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Autolanding control system design with deep learning based fault estimation
Aerospace Science and Technology, Vol. 102, Temmuz 2020, s. 105855, ISSN: 1270-9638
EROĞLU BATUHAN,ŞAHİN ÇAĞATAY,ÜRE NAZIM KEMAL
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Deep-learning-based crack detection with applications for the structural health monitoring of gas turbines
Structural Health Monitoring, Kasım 2019, ISSN: 1475-9217
MOHTASHAM KHANİ MAHTAB,VAHİDNİA SAHAND,GHASEMZADEH LEİLA,OZTURK Y EREN,YUVALAKLİOGLU MUSTAFA,AKİN SELİM,ÜRE NAZIM KEMAL
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Enhancing Situational Awareness and Performance of Adaptive Cruise Control through Model Predictive Control and Deep Reinforcement Learning
2019 IEEE Intelligent Vehicles Symposium (IV), 9 Haziran 2019
ÜRE NAZIM KEMAL,YAVAŞ MUHARREM UĞUR,ALİZADEH ALİ,KURTULUŞ CAN
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Automated Lane Change Decision Making using Deep Reinforcement Learning in Dynamic and Uncertain Highway Environment
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 27 Ekim 2019
ALİZADEH ALİ,BİÇER YUNUS,MOGHADAM MAJİD,ÜRE NAZIM KEMAL,YAVAŞ MUHARREM UĞUR,KURTULUŞ CAN
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Sample Efficient Interactive End-to-End Deep Learning for Self-Driving Cars with Selective Multi-Class Safe Dataset Aggregation
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 3 Kasım 2019
BİÇER YUNUS,ALİZADEH ALİ,ERDOGAN AHMETCAN,KIZILRMAK ORKUN,ÜRE NAZIM KEMAL
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A Deep Learning-Based Pipeline for Teaching Control Theory: Transforming Feedback Control Systems on Whiteboard Into MATLAB
IEEE Access, Vol. 8, Ocak 2020, s. 84631-84641, ISSN: 2169-3536
ERDEM DORUKHAN,BEKE AYKUT,KUMBASAR TUFAN
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Learning with Type-2 Fuzzy activation functions to improve the performance of Deep Neural Networks
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, Vol. 85, Ekim 2019, s. 372-384, ISSN: 0952-1976
BEKE AYKUT,KUMBASAR TUFAN
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A New Approach for Tactical Decision Making in Lane Changing: Sample Efficient Deep Q Learning with a Safety Feedback Reward
IEEE Intelligent Vehicles Symposium, 19 Eylül 2020
YAVAŞ MUHARREM UĞUR,KUMBASAR TUFAN,ÜRE NAZIM KEMAL
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Dielectric Property Retrieval with Open-Ended Coaxial Probe for Solid Materials
2022 IEEE USNC-URSI Radio Science Meeting (Joint with AP-S Symposium), DENVER/AMERİKA BİRLEŞİK DEVLETLERİ, 10 Eylül 2022, ISSN: 978-1-946815-16-3
AYDINALP CEMANUR, JOOF SULAYMAN, AKINCI MEHMET NURİ, AKDUMAN İBRAHİM, YILMAZ ABDOLSAHEB TUBA
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Microwave Dielectric Property Retrieval from Open-Ended Coaxial Probe Response with Deep Learning
IEEE Access, Ocak 2022, ISSN: 2169-3536
AYDINALP CEMANUR, JOOF SULAYMAN, AKINCI MEHMET NURİ, AKDUMAN İBRAHİM, YILMAZ ABDOLSAHEB TUBA
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Interpreting Variational Autoencoders with Fuzzy Logic: A step towards interpretable deep learning based fuzzy classifiers
2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 19 Temmuz 2020
BÖLAT KUTAY,KUMBASAR TUFAN
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The Hydrophobicity Class Identification of Silicone-Rubber Samples using Deep Learning Algorithms
2022 57TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC 2022), 30 Ağustos 2022
ÜÇKOL HALİL İBRAHİM, İLHAN SUAT, ÖZDEMİR İDRİS, DEMİROĞLU NESİBE
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Strengths and weaknesses of deep learning models for face recognition against image degradations
IET Biometrics, Vol. 7, No. 1, Ocak 2018, s. 81-89, ISSN: 2047-4938
GRM KLEMEN,STRUC VİTOMİR,ARTİGES ANAİS,CARON MATTHİEU,EKENEL HAZIM KEMAL
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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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Climate model-driven seasonal forecasting approach with deep learning
Environmental Data Science, Vol. 2, Ocak 2023, ISSN: 2634-4602
ÜNAL ALPER,ASAN BUSRA,SEZEN İSMAİL,YESİLKAYNAK BUGRA,AYDIN YUSUF,ILICAK MEHMET,ÜNAL GÖZDE
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Deep Learning Based Models for the CO2 emission forecasting in Turkey
Tenth International Conference on Environmental Management, Engineering, Planning and Economics (CEMEPE 2023) and SECOTOX Conference, Skiathos/YUNANİSTAN, 5 Haziran 2023
ÖZCAN TUNCAY, KONYALIOĞLU AZİZ KEMAL, BELDEK TUĞÇE
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