Deep Learning Approaches for Phantom Movement Recognition
2019 Medical Technologies Congress (TIPTEKNO), 3 Ekim 2019
AKBULUT AKHAN,AŞCI GÜVEN,GÜNGÖR FERAY,TARAKCI ELA,AYDIN MUHAMMED ALİ,ZAİM ABDÜL HALİM
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Real-Time Terrain Traversability Analysis and Mapping for Autonomous Robotics in Dynamic Environments: Fusing Appearance- and Geometry-Based Approaches
JOURNAL OF FIELD ROBOTICS, Ocak 2025, s. 20, ISSN: 1556-4959
IGNATYEV DMİTRY,ZOLOTAS ARGYRİOS,BEYÇİMEN SEMİH
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Forest Biophysical Parameter Estimation via Machine Learning and Neural Network Approaches
2023 IEEE International Geoscience and Remote Sensing Symposium, Pasedana/AMERİKA BİRLEŞİK DEVLETLERİ, 16 Temmuz 2023
AKSOY SAMET, ZUHTER HASAN AL SHWAYYAT SHOUQ, TOPGÜL ŞULE NUR, SERTEL ELİF, ÜNSALAN CEM, SOLO JARI, HOLMSTRÖM ANTON, WALLERMAN JÖRGEN, NİLSSON MATS, FRANSSON JOHAN
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Automated building extraction from very high-resolution remote sensing data with deep learning approaches
4th Intercontinental Geoinformation Days, TABRİZ/İRAN, 20 Haziran 2022, s. 127-130
DAĞDELEN VOLKAN, ALGANCI UĞUR, SERTEL ELİF
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Machine Learning Based Approaches for Short Term Sales Forecasting in E-Commerce
The 22th International Symposium for Production Research (ISPR2022), 6 Ekim 2022, ISSN: 2195-4356
ALTUNCU MEHMET ARDIL, TAŞTAN MUHAMMED HAMZA, ÖZCAN TUNCAY
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Learning from Waterfront Regeneration Projects and Contemporary Design Approaches of European Port Cities
17th International Planning History Society Conference, Delft/HOLLANDA, No. 3, 17 Temmuz 2016, s. 151-162, ISSN: 2468-6948
TANIŞ FATMA,ERKÖK FATMA
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Conceptualizing initial framework of an advanced maritime research to conduct ship performance monitoring via statistical learning approaches
15th International Logistics and Supply Chain Congress, 19 Ekim 2017
SÖNER ÖMER,ÇELİK METİN
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Machine Learning Approaches to Predict the Selectivity of Compounds against HDAC1 and HDAC6
JOURNAL OF COMPUTATIONAL BIOPHYSICS AND CHEMISTRY, Vol. 23, No. 6, Haziran 2024, s. 837-850, ISSN: 2737-4165
DOĞAN BERNA
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Enhanced E-commerce decision-making through sentiment analysis using machine learning-based approaches and IoT
PLOS One, Vol. 20, Haziran 2025, s. 1-33, ISSN: 1932-6203
FILAHI YASSER,GÜL ÖMER MELİH,ELGHIRANI ALI,ARICAN ERKUT,PARLAK İSMAİL BURAK,KADRY SEIFEDINE,KARPOUZIS KOSTAS
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Serious games in future skills development: A systematic review of the design approaches
COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, Vol. 30, No. 5, Ocak 2022, s. 22, ISSN: 1061-3773
GÜRBÜZ SÜLEYMAN CİHAN, ÇELİK METİN
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The Introduction of a Problem Based Learning Approach to the Implementation of a Virtual Reality Context Teaching and Learning in 3D Immersive Worlds Pedagogical Models and Constructivist Approaches
2011, s. 226-247, IGI Global
ANTHONY WİLLİAMS, NİNG GU, LEMAN FİGEN GÜL
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A comparison study on active learning integrated ensemble approaches in sentiment analysis
Computers and Electrical Engineering, Vol. 57, Ocak 2017, s. 311-323, ISSN: 00457906
ALDOĞAN DENİZ,YASLAN YUSUF
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Prediction of Solar Radiation for power generation using Machine Learning approaches for renewable energy planning in Turkiye
ICDAMS25, Konya/TÜRKİYE, 29 Ağustos 2025
TAYLAN OSMAN,GÖLEÇ ADEM,KOCAK AYBUKE
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Combining molecular docking, molecular dynamics and machine learning approaches in an active
learning scheme
Joint 50th Congress of the Physical Chemistry Division of the Società Chimica Italiana and the 5th European Conference on Physical Chemistry (, Pisa/İTALYA, 29 Haziran 2025
DOĞAN BERNA,ÖZÖNDER ŞENER,AVŞAR TİMUÇİN,DURDAĞI SERDAR
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