There Are No Data Like More Data: Datasets for deep learning in Earth observation
Institute of Electrical and Electronics Engineers (IEEE), Vol. 11, Eylül 2023, ISSN: 2473-2397
SCHMİTT MİCHAEL, AHMADİ SEYED ALİ, XU YONGHAO, TAŞKIN KAYA GÜLŞEN, VERMA UJJWAL, SİCA FRANCESCOPAOLO, HÄNSCH RONNY
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A Spiking Neural Model of Cortical Tissue Using Deep Learning For a Humanoid Robot
IV. International Bioengineering Conference (BIOENG’16), 30 Ekim 2016
DAĞLARLI EVREN,ARIBAŞ ERKE
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Analysis of Ophthalmic Disorders on Retinal Vessels Using Deep Learning Segmentation Methods
The Fourth International Symposium on Engineering, Artificial Intelligence and Applications (ISEAIA 2016), 2 Kasım 2016
ARIBAŞ ERKE,DAĞLARLI EVREN
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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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Estimation of Two Dimensional Electric Field Distribution Through Deep Learning: Preliminary Study
2024 32nd Signal Processing and Communications Applications Conference (SIU), MERSİN/TÜRKİYE, 15 Mayıs 2024
TANYEL TOYGAR,YILDIZ ALTINTAŞ GÜLŞAH,AYDINALP CEMANUR,ÖKSÜZ İLKAY
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Low-SNR Modulation Recognition based on Deep Learning on Software Defined Radio
5th International Conference on Advanced Communication Technologies and Networking (CommNet), 12 Aralık 2022
OSMANOĞLU HÜSAMETTİM, ALREHAİLİ JİLAN, ÜSTÜNDAĞ BURAK BERK
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A Deep Learning-Based Model to Estimate Architectural Elements of Classical Ottoman Period Mosques
C+++: Computation, Culture, and Context: the 11th ASCAAD (Arab Society for Computation, Architecture, Art, and Design) International Conference, Amman/ÜRDÜN, Vol. 1, No. 1, 7 Kasım 2023, s. 585-598, ISSN: 2994 – 9777
ŞENKAL HABİBE, ALAÇAM SEMA, GÜZELCİ ORKAN ZEYNEL, ŞEN BAYRAM ASENA KUMSAL, NEFTÇİ ARAS
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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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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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Regression-Based Estimation of Silicone Rubber Hydrophobicity Via Deep Learning
2024 IEEE International Conference on High Voltage Engineering and Applications (ICHVE), Berlin/ALMANYA, 18 Ağustos 2024, s. 1-4
İLHAN SUAT,ÖZDEMİR İDRİS,ÜÇKOL HALİL İBRAHİM
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From Statistical to Deep Learning Models: A Comparative Sentiment Analysis Over Commodity News
International Conference on Intelligent and Fuzzy Systems, Vol. 308, No. 2, 24 Ağustos 2021, s. 155-162
SİVRİ MAHMUT SAMİ, KORKMAZ BUSE SİBEL, ÜSTÜNDAĞ ALP
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Fuzzy Soft Set Based Stock Prediction Model Integrating Machine Learning with Deep Sentiment Analysis
Journal of Multiple-Valued Logic and Soft Computing, Vol. 39, Mart 2022, s. 201-224, ISSN: 1542-3980
SİVRİ MAHMUT SAMİ, ÜSTÜNDAĞ ALP
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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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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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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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Vessel Detection from Optical Remote Sensing Images with Deep Learning Methods
10TH INTERNATIONAL CONFERENCE ON Recent Advances in Air and Space Technologies RAST 2023, 7 Haziran 2023, s. 1-5
BÜYÜKKANBER FURKAN, YANALAK MUSTAFA, MUSAOĞLU NEBİYE
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Detecting Multiclass Objects in Remote Sensing Imagery: A Deep Learning Approach
4th International Conference on Computer, Remote Sensing and Aerospace, 5 Temmuz 2024
BÜYÜKKANBER FURKAN,YANALAK MUSTAFA,MUSAOĞLU NEBİYE
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MONITORING OF GLACIERS ON HORSESHOE ISLAND, ANTARCTICA BASED ON A DEEP LEARNING APPROACH FROM HIGH-RESOLUTION ORTHOPHOTOS (TAE-6 & TAE-7)
GeoAdvances 2024 – 8th International Conference on GeoInformation Advances,, İstanbul/TÜRKİYE, 11 Ocak 2024
SELBESOĞLU MAHMUT OĞUZ,BAKIRMAN TOLGA,KARABULUT MUSTAFA FAHRİ,GÜNAYDIN ESRA,VASSİLEV OLEG,OKTAR ÖZGÜN,ÖZSOY BURCU
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Mapping of Glaciers on Horseshoe Island, Antarctic Peninsula, with Deep Learning Based on High-Resolution Orthophoto
DRONES, Vol. 7, No. 2, Ocak 2023, s. 1-11, ISSN: 2504-446X
SELBESOĞLU MAHMUT OĞUZ, BAKIRMAN TOLGA, VASSİLEV OLEG, ÖZSOY BURCU
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