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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 ...
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 ...
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 ...
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, ...
Description-aware fashion image inpainting with convolutional neural networks in coarse-to-fine manner
(The ACM Digital Library, 2020-04-14)
Inpainting a particular missing region in an image is a challenging vision task, and promising improvements on this task have been achieved with the help of the recent developments in vision-related deep learning studies. ...
Game of protocols: Is QUIC ready for prime time streaming?
(Wiley, 2020-05)
Quick User Datagram Protocol (UDP) Internet Connections (QUIC) is an experimental and low-latency transport protocol proposed by Google, which is still being improved and specified in the Internet Engineering Task Force ...
Predicting shuttle arrival time in istanbul
(Springer Nature, 2020)
Nowadays, transportation companies look for smart solutions in order to improve quality of their services. Accordingly, an intercity bus company in Istanbul aims to improve their shuttle schedules. This paper proposes ...
Not all mistakes are equal
(The ACM Digital Library, 2020)
In many tasks, classifiers play a fundamental role in the way an agent behaves. Most rational agents collect sensor data from the environment, classify it, and act based on that classification. Recently, deep neural networks ...
ADVISOR: An adjustable framework for test oracle automation of visual output systems
(IEEE, 2020-09)
Test oracles differentiate between the correct and incorrect system behavior. Automation of test oracles for visual output systems mainly involves image comparison, where a snapshot of the output is compared with respect ...
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