Building Extraction in VHR Remote Sensing Imagery Through Deep Learning
Fresenius Environmental Bulletin and Advances in Food Sciences, Vol. 8, No. 31, Ağustos 2022, s. 8468-8473, ISSN: 1018-4619
ATİK ŞAZİYE ÖZGE,İPBÜKER CENGİZHAN
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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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A survey on security of UAV and deep reinforcement learning
Ad Hoc Networks, Vol. 164, Kasım 2024, s. 1-23, ISSN: 1570-8713
SÖNMEZ BURCU,BAHTİYAR ŞERİF
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Block Attention and Switchable Normalization Based Deep Learning Framework for Segmentation of Retinal Vessels
IEEE ACCESS, Vol. 11, Ocak 2023, s. 12, ISSN: 2169-3536
DEARİ SABRİ, ULUKAYA SEZER, ÖKSÜZ İLKAY
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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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A deep learning approach to analyse ship inspection reports via natural language processing integrated with artificial neural network
Journal of Marine Engineering & Technology, Vol. 23, No. 4, Mayıs 2024, s. 291-304, ISSN: 2046-4177
BİÇEN SAMET,ÇELİK METİN
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A Guideline for Complex Permittivity Retrieval of Tissue-Mimicking Phantoms From Open-Ended Coaxial Probe Response With Deep Learning
Institute of Electrical and Electronics Engineers (IEEE), Vol. 70, Kasım 2022, ISSN: 0018-9480
JOOF SÜLEYMAN, AYDINALP CEMANUR, DİLMAN İSMAİL, AKINCI MEHMET NURİ, YILMAZ ABDOLSAHEB TUBA, ÇAYÖREN MEHMET, AKDUMAN İBRAHİM
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Rapid post-earthquake damage assessment of building portfolios through deep learning-based component-level image recognition
Journal of Building Engineering, Vol. 98, Aralık 2024, ISSN: 2352-7102
FENG DE-CHENG,Lİ XİN,DEĞER ZEYNEP,LİU HANKUN,CHEN SHİ-ZHİ,WU GANG
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Automated segmentation of cell membranes to evaluate HER2 status in whole slide images using a modified deep learning network
Computers in Biology and Medicine, Vol. 110, Temmuz 2019, s. 164-174, ISSN: 0010-4825
KHAMENEH FARİBA DAMBAND,RAZAVİ SALAR,KAMAŞAK MUSTAFA ERSEL
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Improving Aerial Targeting Precision: A Study on Point Cloud Semantic Segmentation with Advanced Deep Learning Algorithms
DRONES, Vol. 8, No. 8, Ağustos 2024, s. 19, ISSN: 2504-446X
BOZKURT SALİH,ATİK MUHAMMED ENES,DURAN ZAİDE
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Despeckling Based Data Augmentation Approach in Deep Learning Based Radar Target Classification
IGARSS 2022- 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur/MALEZYA, 17 Temmuz 2022
CEYLAN S. H. MERT, ERER IŞIN
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Categorization of Post-Earthquake Damages in RC Structural Elements with Deep Learning Approach
Journal of Earthquake Engineering, Vol. 28, No. 9, Ocak 2024, s. 2620-2651, ISSN: 1363-2469
MERTCAN YİLMAZ,DOĞAN GAMZE,ARSLAN MUSA HAKAN,İLKİ ALPER
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Pneumonia Detection and Classification Using Deep Learning on Chest X-Ray Images
International Journal of Intelligent Systems and Applications in Engineering, Vol. 8, No. 4, Ocak 2020, s. 177-183, ISSN: 2147-6799
DARICI MUAZZEZ BUKET,DOKUR ZÜMRAY,ÖLMEZ TAMER
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A Deep Learning-Based Model to Estimate Architectural Elements of Classical Ottoman Period Mosques
11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD 2023), Petra/ÜRDÜN, 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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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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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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From Theory to Topology: Modeling Turkish Makam Complexity with Multiplex Networks and Deep Learning
Third International Conference on Computational and Cognitive Musicology (ICCCM 2025), 9 Ekim 2025
RECEP GÜL, GİRAY DÜZEL, OZAN BAYSAL
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From Theory to Topology: Modeling Turkish Makam Complexity with Multiplex Networks and Deep Learning.
Third International Conference on Computational and Cognitive Musicology (ICCCM 2025), 9 Ekim 2025
RECEP GÜL GİRAY DÜZEL, OZAN BAYSAL
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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
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2024
MEHMET CAN ŞEN
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The analytical solutions and deep learning assessment of long waves over linear and nonlinear breadth and depth profiles: 30 October 2020 İzmir tsunami case
LİSANSÜSTÜ EĞİTİM ENSTİTÜSÜ, İSTANBUL TEKNİK ÜNİVERSİTESİ, 2024
ALİ RIZA ALAN
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