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Bedir Tekinerdogan
Researcher at Wageningen University and Research Centre
Publications - 302
Citations - 4064
Bedir Tekinerdogan is an academic researcher from Wageningen University and Research Centre. The author has contributed to research in topics: Software architecture & Computer science. The author has an hindex of 24, co-authored 264 publications receiving 2628 citations. Previous affiliations of Bedir Tekinerdogan include Bilkent University & University of Twente.
Papers
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Journal ArticleDOI
Analysis of transfer learning for deep neural network based plant classification models
Aydin Kaya,Ali Seydi Keceli,Cagatay Catal,Hamdi Yalin Yalic,Huseyin Temucin,Bedir Tekinerdogan +5 more
TL;DR: This experimental study demonstrates that transfer learning can provide important benefits for automated plant identification and can improve low-performance plant classification models.
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Discovering early aspects
TL;DR: This article describes how to identify and capture early aspects in requirements and architecture activities and how they're carried over from one phase to another.
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Digital twins in smart farming
TL;DR: The concept of Digital Twin is defined, a typology of different types of Digital Twins is developed, and a conceptual framework for designing and implementing Digital Twin systems based on the Internet of Things—Architecture (IoT-A), a reference architecture for IoT systems are proposed.
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Architecture design approach for IoT-based farm management information systems
Ömer Köksal,Bedir Tekinerdogan +1 more
TL;DR: A design-driven research approach is adopted in which feature-driven domain analysis is used to model the various smart farming requirements and the steps and the modeling approaches for designing IoT-based FMIS architectures are described.
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Systematic reviews in sentiment analysis: a tertiary study
TL;DR: According to this analysis, LSTM and CNN algorithms are the most used deep learning algorithms for sentiment analysis.