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Dynamic Adaptation of Urgent Applications in the Edge-to-Cloud Continuum
The integration of Urgent Computing is essential in order to adhere to stringent time and quality constraints of emerging distributed applications,... -
DLEE: a dataset for Chinese document-level legal event extraction
Event extraction (EE) is capable of providing essential information to facilitate comprehension of legal cases by identifying event types and...
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Event-Based Threat Intelligence Ontology Model
Cyber Threat Intelligence (CTI) has become an essential part of contemporary threat detection and response solutions. However, threat intelligence is... -
A novel meta-graph-based attention model for event recommendation
Due to the popular trend of combining online and offline interactions among users in event-based social networks (EBSNs), event recommendation which...
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Event-triggered multi-agent credit allocation pursuit-evasion algorithm
The reinforcement learning is used to study the problem of multi-agent pursuit-evasion games in this article. The main problem of current...
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Image De-occlusion via Event-enhanced Multi-modal Fusion Hybrid Network
Seeing through dense occlusions and reconstructing scene images is an important but challenging task. Traditional frame-based image de-occlusion...
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Unsupervised Online Event Ranking for IT Operations
Kee** high service levels of a fast-growing number of servers is crucial and challenging for IT operations teams. Online monitoring systems trigger... -
A Major Step Forward: The Computer Arts Society and Event One
This chapter describes the origins of the Computer Arts Society, the first practitioner-led group of its kind in the UK and details the support,... -
Cross-media correlation learning for web video event mining with integrated text semantics and network structural information
Recently, cross-media web video event mining based on heterogeneous information networks (HIN) has attracted extensive attention. However, each web...
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Multi-modal Fake News Detection Use Event-Categorizing Neural Networks
Multi-modal fake news detection has drawn great attention for their promising potential of preventing the spread of fake information in social media,... -
Few-Shot Link Prediction for Event-Based Social Networks via Meta-learning
With the thriving of social network analysis, large efforts have been made on link prediction for event-based social networks (EBSNs). Unfortunately,... -
Event-Triggered Acceleration Algorithms for Distributed Stochastic Optimization
In this chapter, we focus on introducing and exploring how to improve the computational and computational efficiency in distributed optimization... -
Design of an efficient low-complexity bioinspired blockchain-based semantic medical-event analysis & reporting model via deep learning
Analysis of medical reports & their accurate reporting involves design of efficient data mining processes that can be scaled for multiple scenarios....
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Construction and Application of Event Logic Graph: A Survey
Since being proposed in 2017, event logic graph has attracted more and more researchers’ attention and has been gradually applied in various fields... -
Graph embedding based real-time social event matching for EBSNs recommendation
Event-based social networks (EBSNs) are platforms for users to publish, organize, or choose to participate in events through social networks. In...
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Complex event processing for physical and cyber security in datacentres - recent progress, challenges and recommendations
A datacentre stores information and manages data access in fast and reliable manner. Failure of datacentre operation is not an option and can be...
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F-E Fusion: A Fast Detection Method of Moving UAV Based on Frame and Event Flow
In recent years, the widespread application of UAVs has caused threats to public security and personal privacy. This paper presents a fast and... -
A Novel Stochastic Event-Based Feedback Watermark for Replay Attack Detection
The security of cyber physical systems (CPSs) is the premise of resource sharing in modern industry, which has attracted considerable attention of... -
Deep neural network empowered bi-directional cross GAN in context of classifying DDoS over flash crowd event on web server
DDoS (distributed denial of service) attack is a constant and serious danger to the Internet. New application-layer-based DDoS attacks that use valid...
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Embracing Event-Driven Architectures
This chapter covers: