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Interest-Related Item Similarity Model Based on Multimodal Data for Top-N Recommendation
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Nowadays, the recommendation systems are applied in the fields of e-commerce, video websites, social networking sites, which bring great convenience to people's daily lives. The types of information are diversified and ...
Zynq SoC based acceleration of the lattice Boltzmann method
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John Wiley and Sons Ltd
, 2019 , Article)
Cerebral aneurysm is a life-threatening condition. It is a weakness in a blood vessel that may enlarge and bleed into the surrounding area. In order to understand the surrounding environmental conditions during the ...
Security Analysis of a Space-Based Wireless Network
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
With the gradual deployment of the spacebased wireless network, security risks in the data communication between satellites and even the internal structure of a satellite become extremely important. In this article, we use ...
Cooperative Secondary Encryption for Primary Privacy Preserving in Cognitive Radio Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Aiming at protecting primary privacy messages and supporting secondary quality-of-service (QoS), we propose a secondary encrypted secure strategy for cognitive radio networks. In this scheme, a primary system directly ...
BNNC: Improving Performance of Multipath Transmission in Heterogeneous Vehicular Networks
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Nowadays, multipath transmission scheme in heterogeneous vehicular networks has become an emerging topic. It is a great challenge to overcome the unreliability of heterogeneous wireless network in vehicle-to-ground multipath ...
Adaptive neuro-fuzzy inference system for prediction of surgery time for ischemic stroke patients
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Penerbit UTHM
, 2019 , Article)
With the advent of machine learning techniques, creation and utilization of prediction models for different medical procedures including prediction of diagnosis, treatment and recovery of different medical conditions has ...
Market-Based Model in CR-IoT: A QProbabilistic Multi-agent Reinforcement Learning Approach
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Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
The ever-increasing urban population and the corresponding material demands have brought unprecedented burdens to cities. To guarantee better QoS for citizens, smart cities leverage emerging technologies such as the Cognitive ...
RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
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Elsevier B.V.
, 2019 , Article)
The omnipresence of unmanned aerial vehicles, or drones, among civilians can lead to technical, security, and public safety issues that need to be addressed, regulated and prevented. Security agencies are in continuous ...
Systematic identification of threats in the cloud: A Survey
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Elsevier B.V.
, 2019 , Article)
When a vulnerability is discovered in a system, some key questions often asked by the security analyst are what threat(s) does it pose, what attacks may exploit it, and which parts of the system it affects. Answers to those ...
Endorsing domestic energy saving behavior using micro-moment classification
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Elsevier Ltd
, 2019 , Article)
With the ever-growing rise of energy consumption and its devastating financial and environmental repercussions, it is of utmost significance to moderate energy usage with proper energy efficiency tools. This is particularly ...