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Machine learning based activity learning for behavioral contexts in Internet of things (IoT)
(Springer Nature, 2020-12)
Ontology based activity learning models play a vital role in diverse fields of Internet of Things (IoT) such as smart homes, smart hospitals or smart communities etc. The prevalent challenges with ontological models are ...
Performance analysis of ACTE: A bandwidth prediction method for low-latency chunked streaming
(Association for Computing Machinery, Inc, 2020-07)
HTTP adaptive streaming with chunked transfer encoding can offer low-latency streaming without sacrificing the coding efficiency. This allows media segments to be delivered while still being packaged. However, conventional ...
Minimizing false positive rate for DoS attack detection: A hybrid SDN-based approach
(Elsevier, 2020-06)
Denial of Service attacks (DoS) are considered to be a major threat against today's communication networks. Recently, a novel networking paradigm that provides enhanced programming abilities has been proposed to attain an ...
Image denoising using deep convolutional autoencoder with feature pyramids
(TÜBİTAK, 2020)
Image denoising is 1 of the fundamental problems in the image processing field since it is the preliminary step for many computer vision applications. Various approaches have been used for image denoising throughout the ...
Foreword
(The ACM Digital Library, 2020-05)
N/A
Artificial intelligence tools for academic management: assigning students to academic supervisors
(International Academy of Technology, Education and Development (IATED), 2020)
In the last few years, there has been a broad range of research focusing on how learning should take place both in the classroom and outside the classroom. Even though academic dissertations are a vital step in the academic ...
Deep reinforcement learning for acceptance strategy in bilateral negotiations
(TÜBİTAK, 2020)
This paper introduces an acceptance strategy based on reinforcement learning for automated bilateral negotiation, where negotiating agents bargain on multiple issues in a variety of negotiation scenarios. Several acceptance ...
A 2020 perspective on “A generalized stereotype learning approach and its instantiation in trust modeling”
(Elsevier, 2020-03)
Owing to the rapid increase of user data and development of machine learning techniques, user modeling has been explored in depth and exploited by both academia and industry. It has prominent impacts in e-commercerelated ...
Üniversite dış mekânları i̇çin zaman-mekânsal haritalama yöntemine dayanan bir kullanım sonrası değerlendirme modeli
(Yildiz Technical University Faculty Of Architecture, 2020)
Üniversite yerleşkeleri yalnızca çeşitli sosyal ve eğitsel binalardan oluşmakla kalmaz, dış mekânları ve donatıları, rekreasyon ve peyzaj alanları ile bütünleşik bir kurgu oluştururlar. Dış mekânlar, yerleşke kullanıcılarının ...
Detection of malicious social bots: A survey and a refined taxonomy
(Elsevier, 2020-08-01)
Social hots represent a new generation of hots that make use of online social networks (OSNs) as command and control (C&C) channels. Malicious social hots have been used as tools for launching large-scale spam campaigns, ...
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