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Universal Access in the Information Society
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July 5, 2022
A novel color labeled student modeling approach using e-learning activities for data mining
Selim Buyrukoğlu
Environmental Monitoring and Assessment
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April 18, 2022
Correlation value determined to increase Salmonella prediction success of deep neural network for agricultural waters
Selim Buyrukoğlu, Yıldıran Yılmaz, Zeynal Topalcengiz
Medical & Biological Engineering & Computing
|
January 5, 2023
A hybrid super ensemble learning model for the early-stage prediction of diabetes risk
Ayşe Doğru, Selim Buyrukoğlu, Murat Arı
Journal of Imaging Informatics in Medicine
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November 18, 2025
Enhanced Fetal Plane Classification in Ultrasound Imaging via Prototypical Networks and Few-Shot Learning
Mahamoud Abdi Abdillahi, Mohammed Rashad Baker, Ayşe Doğru, et al.
Scientific Reports
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June 3, 2026
Meta-heuristic and machine learning based functional capacity prediction using gait parameters in patients with heart failure
Aylin Tanriverdi Eyolcu, Ayşe Doğru, Selim Buyrukoğlu, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 5) with videos related to
Sort By:
Page
of 1
Universal Access in the Information Society
|
July 5, 2022
A novel color labeled student modeling approach using e-learning activities for data mining
Selim Buyrukoğlu
Environmental Monitoring and Assessment
|
April 18, 2022
Correlation value determined to increase Salmonella prediction success of deep neural network for agricultural waters
Selim Buyrukoğlu, Yıldıran Yılmaz, Zeynal Topalcengiz
Medical & Biological Engineering & Computing
|
January 5, 2023
A hybrid super ensemble learning model for the early-stage prediction of diabetes risk
Ayşe Doğru, Selim Buyrukoğlu, Murat Arı
Journal of Imaging Informatics in Medicine
|
November 18, 2025
Enhanced Fetal Plane Classification in Ultrasound Imaging via Prototypical Networks and Few-Shot Learning
Mahamoud Abdi Abdillahi, Mohammed Rashad Baker, Ayşe Doğru, et al.
Scientific Reports
|
June 3, 2026
Meta-heuristic and machine learning based functional capacity prediction using gait parameters in patients with heart failure
Aylin Tanriverdi Eyolcu, Ayşe Doğru, Selim Buyrukoğlu, et al.
Page
of 1