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Chapter and Conference Paper
A Hybrid Active and Passive Cache Method Based on Deep Learning in Edge Computing
In recent years, the rapid development of micro-video in the multimedia field has brought about a huge increase in Internet traffic. Ensuring consumer quality of experience (QoE) has become a major challenge f...
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Chapter and Conference Paper
Period Extraction for Traffic Flow Prediction
Due to the particularity of “Tourist chartered Buses, Liner Buses and Dangerous Goods Transport Vehicles” (“TLD Vehicles”), traffic accidents will bring serious losses. Therefore, traffic flow prediction for “...
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Chapter and Conference Paper
Distributed Task Offloading Method Based on Federated Reinforcement Learning in Vehicular Networks with Incomplete Information
With the development of Internet of Vehicles, a large number of different types of applications have emerged. However, given the limited computing power of vehicles, many tasks cannot be completed within speci...
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Chapter and Conference Paper
An Auxiliary Modality Based Text-Image Matching Methodology for Fake News Detection
Owing to the national network “clearing up” action, it has become increasingly important to detect false information by the use of deep learning technology. As social networks gradually presents a multimodal p...
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Article
Observer-based control for fractional-order singular systems with order α (0 < α < 1) and input delay
In this paper, observer-based control for fractional-order singular systems with order α (0 < α < 1) and input delay is studied. On the basis of the Smith predictor and approximation error, the system with input ...
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Article
Open AccessJSON-based control model for SQL and NoSQL data conversion in hybrid cloud database
A data interaction transformation model, XYJSON, that is suitable for all data using current standard SQL syntax and JSON document data is proposed to solve the problem of increasing development workload and d...
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Chapter and Conference Paper
Stacked Deep Learning Structure with Bidirectional Long-Short Term Memory for Stock Market Prediction
The rapid growth of deep learning research has introduced numerous methods to solve real-world applications. In the financial market, the stock price prediction is one of the most challenging topics. This pape...
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Chapter and Conference Paper
How Interaction Paradigms Affect User Experience and Perceived Interactivity in Virtual Reality Environment
Interactivity is one of the major features of virtual reality (VR) comparing with traditional digital devices. Many virtual reality devices and applications provide more than one input instruments for users t...
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Chapter and Conference Paper
Research on Maximal Weighted Independent Set-Based Graph Coloring Spectrum Allocation Algorithm in Cognitive Radio Networks
The traditional graph coloring spectrum allocation algorithm takes into account the efficiency in the different spectrum, but in one allocation period, it can only be assigned one spectrum to the corresponding...
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Article
Thresholds: Policies to Optimize BGP Routing Tables