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Audience Tracking and Cheering Content Control in Sports Events
(IEEE, 2020)
Swearing cheers encountered in sports competitions do not comply with sports ethics and morals. Even if this kind of cheering is a group, the entire tribune block is penalized in accordance with the current rules. This ...
Unsupervised Anomaly Detection in Multivariate Spatio-Temporal Datasets Using Deep Learning
(Springer, 2020)
Techniques used for spatio-temporal anomaly detection in an unsupervised settings has attracted great attention in recent years. It has extensive use in a wide variety of applications such as: medical diagnosis, sensor ...
Website category classification using fine-tuned BERT language model
(Institute of Electrical and Electronics Engineers Inc., 2020)
The contents on the Word Wide Web is expanding every second providing web users a rich content. However, this situation may cause web users harm rather than good due to its harmful or misleading information. The harmful ...
Performance of Combinational Cooperative Detection Method under Realistic Conditions
(IEEE Computer Society, 2020)
Combinational cooperative detection (CCD) is a method where signal energies from multiple secondary users (SUs) are gathered in different combinations in order to reach a unique decision for each secondary user regarding ...
True variable-depth milling
(Elsevier B.V., 2020)
When tool wears during machining, cost of the process increases. Rapid tool wear leads to even further contributions to process cost and hence must be taken well care of. Among the many forms of tool wear, notch wear is ...
Sparse Channel Estimation with Clipping Noise in DCO-OFDM Based VLC Systems
(IEEE, 2020)
In this paper a new computationally efficient and high performance channel estimation algorithm is proposed for DC-biased optical OFDM (DCO-OFDM) systems in indoor visible light communications (VLC) in the presence of a ...
A comparative study of surrogate based learning methods in solving power flow problem
(IEEE, 2020)
Due to increasing volume of measurements in smart grids, surrogate based learning approaches for modeling the power grids are becoming popular. This paper uses regression based models to find the unknown state variables ...
Motion Control for Biohybrid Multiscale Robots
(IEEE, 2020)
Complex gaits of microswimmer robotic devices could be controlled via discretized reference signals and adaptive control scheme. A biomedical micro-robotic system offers a nontrivial control problem without tactile contact ...
Throughput Maximization for Full Duplex Wireless Powered Communication Networks
(Institute of Electrical and Electronics Engineers Inc., 2020)
In this paper, we consider a full duplex wireless powered communication network where multiple users with RF energy harvesting capabilities communicate to a hybrid energy and information access point. An optimization ...
Impacts of Load and Generation Volatilities on the Voltage Profiles Improved by Distributed Energy Resources
(Institute of Electrical and Electronics Engineers Inc., 2020)
Weather-dependent distributed renewable energy sources such as photovoltaics (PVs) and wind turbines (WT) are increasingly being connected to distribution networks (DNs). Increased penetration of these intermittent sources ...