A deep learning and RSSI based approach for indoor positioning
2018 26th Signal Processing and Communications Applications Conference (SIU), 2 Mayıs 2018
YÜKSEL KAMURAN DOĞUŞ,TÖREYİN BEHÇET UĞUR
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Improved cell segmentation using deep learning in label-free optical microscopy images
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, Vol. 29, Ekim 2021, s. 2855-2868, ISSN: 1300-0632
AYANZADEH AYDIN, YALÇIN ÖZUYSAL ÖZDEN, PESEN OKVUR DEVRİM, ÖNAL SEVGİ, TÖREYİN BEHÇET UĞUR, ÜNAY DEVRİM
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A Deep Learning Approach to Fault Detection and Classification in Datacenters
6. Ulusal Yüksek Başarımlı Hesaplama Konferansı - BAŞARIM 2020, 8 Ekim 2020
WİYSOBUNRİ BELTUS NKWAWİR, ERDEN HAMZA SALİH, TÖREYİN BEHÇET UĞUR
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Cell segmentation of 2d phase-contrast microscopy images with deep learning method
Medical Technologies National Conference (TIPTEKNO), 3 Ekim 2019
TÖREYİN BEHÇET UĞUR, PESEN OKVUR DEVRİM, ÜNAY DEVRİM, YALÇIN ÖZUYSAL ÖZDEN, AYANZADEH AYDIN, ÖNAL SEVGİ, YAĞAR ONUR, YAĞAR ONUR
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Deep Learning based Segmentation Pipeline for Label-Free Phase-Contrast Microscopy Images
2020 28th Signal Processing and Communications Applications Conference (SIU), 5 Ekim 2020
AYANZADEH AYDIN, PESEN OKVUR DEVRİM, ÜNAY DEVRİM, YALÇIN ÖZUYSAL ÖZDEN, TÖREYİN BEHÇET UĞUR, ÖNAL SEVGİ
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A deep learning based approach for classification of CerbB2 tumor cells in breast cancer
2017 25th Signal Processing and Communications Applications Conference (SIU), 15 Mayıs 2017
TATAROĞLU GÖZDE, GENÇ ANIL, KABAKÇI KAAN, ÇAPAR ABDULKERİM, TÖREYİN BEHÇET UĞUR, EKENEL HAZIM KEMAL, TÜRKMEN İLKNUR, ÇAKIR ASLI
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DeepMQ: A Deep Learning Approach Based Myelin Quantification in Microscopic Fluorescence Images
European Signal Processing Conference (EUSIPCO), 3 Eylül 2018
ÇİMEN YETİŞ SİBEL, ÇAPAR ABDULKERİM, EKİNCİ DURSUN ALİ, AYTEN UMUT ENGİN, KERMAN BİLAL ERSEN, TÖREYİN BEHÇET UĞUR
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A deep learning based approach for classification of CerbB2 tumor cells in breast cancer
2017 25th Signal Processing and Communications Applications Conference (SIU), Antalya/TÜRKİYE, 15 Mayıs 2017
TATAROĞLU GÖZDE,GENÇ ANIL,KABAKÇI KAAN,ÇAPAR ABDULKERİM,TÖREYİN BEHÇET UĞUR,EKENEL HAZIM KEMAL,TÜRKMEN İLKNUR,ÇAKIR ASLI
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Cell Segmentation of 2D Phase-Contrast Microscopy Images with Deep Learning Method
2019 Medical Technologies Congress (TIPTEKNO), Izmir, Turkey/TÜRKİYE, 3 Ekim 2019
AYANZADEH AYDIN,YAĞAR HÜSEYİN ONUR,ÖZUYSAL ÖZDEN YALÇIN,OKVUR DEVRİM PESEN,TÖREYİN BEHÇET UĞUR,ÜNAY DEVRİM,ÖNAL SEVGİ
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Human Action Recognition Using Deep Learning Methods on Limited Sensory Data
IEEE Sensors Journal, Vol. 20, No. 6, Ocak 2020, s. 3101-3112, ISSN: 1530-437X","1558-1748","2379-9153
TUFEK NİLAY, YALÇIN MURAT, ALTINTAŞ MUCAHİT, KALAOĞLU FATMA, Yİ Lİ HENRY, KURŞUN BAHADIR SENEM
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Human Action Recognition Using Deep Learning Methods on Limited Sensory Data
IEEE SENSORS JOURNAL, Aralık 2019, s. 1-1, ISSN: 1530-437X
TÜFEK NİLAY,YALÇIN MURAT,ALTINTAŞ MÜCAHİT,KALAOĞLU FATMA,Yİ Lİ,KURŞUN BAHADIR SENEM
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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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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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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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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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Data-Driven Approach for Estimating Power and Fuel Consumption of Ship: A Case of Container Vessel
Mathematics, Vol. 10, No. 22, Kasım 2022, ISSN: 2227-7390
UYANIK TAYFUN, YALMAN YUNUS, KALENDERLİ ÖZCAN, ARSLANOĞLU YASİN, TERRİCHE YACİNE TERRİCHE, SU CHUN-LİEN, GUERRERO JOSEP M.
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Fractional-Order Calculus-Based Data Augmentation Methods for Environmental Sound Classification with Deep Learning
fractal and fractional, Vol. 6, Eylül 2022, s. 1-15, ISSN: EISSN 2504-3110
YAZGAC BİLGİ GÖRKEM, KIRCI MÜRVET
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Disease detection on the leaves of the tomato plants by using deep learning
Agro-Geoinformatics, 2017, Fairfax/AMERİKA BİRLEŞİK DEVLETLERİ, 7 Ağustos 2017, s. 1-1
DURMUŞ HALİL,GÜNEŞ ECE OLCAY,KIRCI MÜRVET
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Bridging the gap between GRACE and GRACE-FO missions with deep learning aided water storage simulations
Science of the Total Environment, Vol. 830, Aralık 2022, ISSN: 0048-9697
UZ METEHAN, ATMAN KAZIM GÖKHAN, AKYILMAZ ORHAN, SHUM CK, KELEŞ MERVE, AY TUĞÇE, TANDOĞDU BİHTER, ZHANG YU, MERCAN HÜSEYİN
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