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Outage-driven link selection for secure buffer-aided networks
In this paper, we investigate secure communication in a two-hop wireless network, where multiple buffer-aided relays assist to securely forward data...
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Obstacle Aware Link Selection for Stable Multicast D2D Communications
The rapid growth of multimedia applications requiring high bandwidth has paved the way for millimeter-wave (mmWave) device-to-device (D2D)...
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An anomaly aware network embedding framework for unsupervised anomalous link detection
Most existing network embedding based anomalous link detection methods regard network embedding and anomalous link detection as two independent...
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Modified clustering and incentivized stable CH selection for reliable VANET communication
Modern smart cities rely on Vehicular Ad-hoc Networks (VANETs) for real-time traffic safety warnings and collision avoidance. However, high mobility,...
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A comprehensive survey of link prediction methods
Link prediction aims to anticipate the probability of a future connection between two nodes in a given network based on their previous interactions...
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Link reliable on-demand distance vector routing for mobile ad hoc networks
An established infrastructure or centralised control system is not necessary for communication between nodes, or mobile devices, in a mobile ad hoc...
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Trimming stability selection increases variable selection robustness
Contamination can severely distort an estimator unless the estimation procedure is suitably robust. This is a well-known issue and has been addressed...
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A deep learning mechanism to detect phishing URLs using the permutation importance method and SMOTE-Tomek link
In contemporary times, the proliferation of phishing attacks presents a substantial and growing challenge to cybersecurity. This fraudulent tactic is...
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A link prediction method based on compressed sensing for social networks
Link prediction is an important task in social network analysis, with the goal of evaluating the possibility of forming links between node pairs. In...
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Research on satellite link allocation algorithm for Earth-Moon space information network
With ongoing advancements in space exploration and communication technology, the realization of an Earth-Moon space information network is gradually...
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Unraveling human social behavior motivations via inverse reinforcement learning-based link prediction
Link prediction aims to capture the evolution of network structure, especially in real social networks, which is conducive to friend recommendations,...
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An Intelligent Blockchain-based Secure Link Failure Recovery Framework for Software-defined Internet-of-Things
The frequency of link failures in Internet-of-Things (IoT) network are more than the node failures. Hence, effective link recovery schemes are...
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Link Analysis
Link analysis has been recognized as an effective technique in data science to explore the relationships of objects. The objects can be social...
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Feature selection of microarray data using multidimensional graph neural network and supernode hierarchical clustering
Cancer remains a significant cause of mortality, and the application of microarray technology has opened new avenues for cancer diagnosis and...
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Link-limited bypass rewiring for enhancing the robustness of complex networks
Real-world networks often encounter disruptions that can have profound societal impacts. Therefore, enhancing network robustness against random...
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Improved artificial bee colony algorithm based on community detection for link prediction problem
The problem of link prediction has recently gained a lot of attention from various domains, including sociology, anthropology, information science,...
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DynamiSE: dynamic signed network embedding for link prediction
In real-world scenarios, dynamic signed networks are ubiquitous where edges have positive and negative types and evolve over time. Graph neural...
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Research on Transmission Control of Airborne Communication Data Link System Based on Artificial Fish Swarm Algorithm
AbstractTo enhance the anti-interference performance of airborne communication data link system, a transmission control method based on improved fish...
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Deep non-negative matrix factorization with edge generator for link prediction in complex networks
AbstractLink prediction aims to infer missing links or predict future links based on observed topology or attribute information in the network. Many...
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An empirical study of issue-link algorithms: which issue-link algorithms should we use?
The accuracy of the SZZ algorithm is pivotal for just-in-time defect prediction because most prior studies have used the SZZ algorithm to detect defect...
