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A Multidimensional Trust Evaluation Framework for Online Social Networks Based on Machine Learning
IEEE Access, 2019 Due to the openness of online social networks (OSNs), they have become the most popular platforms for people to communicate with others in the expectation of sharing their opinions in a trustworthy environment. However, individuals are often exposed to a
Xu Chen +3 more
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MEFL: Meta-Equilibrize Federated Learning for Imbalanced Data in IoT
EntropyIn the Internet of Things (IoT), data distribution among diverse terminals exhibits substantial statistical heterogeneity. This imbalance can lead to skewness and accuracy degradation, ultimately affecting the generalization ability and robustness of ...
Jialu Tang +3 more
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Detecting and Tracing i.i.d. Attacks in Networks With Any Number of Relays
IEEE Access, 2016 This paper investigates the detection and tracing problems in a multi-relay network, where a source wants to exchange the information with a destination through multiple potential malicious relay nodes.
Ruohan Cao, Shanguo Huang, Yueming Lu
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Analysis of Mobile Edge Computing for Vehicular Networks
Sensors, 2019 Vehicular ad-hoc Networks (VANETs) are an integral part of intelligent transportation systems (ITS) that facilitate communications between vehicles and the internet.
Zachary W. Lamb, Dharma P. Agrawal
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Multimodal Technologies and Interaction, 2020 Fitness apps equipped with various persuasive features have become popular worldwide due to the physical inactivity crisis. However, there is a limited understanding of the most important persuasive features that drive their adoption and the moderating ...
Kiemute Oyibo, Julita Vassileva
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Modeling Implicit Trust in Matrix Factorization-Based Collaborative Filtering
Applied Sciences, 2019 Recommendation systems often use side information to both alleviate problems, such as the cold start problem and data sparsity, and increase prediction accuracy.
Yuyu Yuan, Ahmed Zahir, Jincui Yang
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Adaptive Energy-Aware Computation Offloading for Cloud of Things Systems
IEEE Access, 2017 Cloud computing has become the de facto computing platform for application processing in the era of the Internet of Things (IoT). However, limitations of the cloud model, such as the high transmission latency and high costs are giving birth to a new ...
Yucen Nan +6 more
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A distributed computing model for big data anonymization in the networks. [PDF]
PLoS One, 2023 Ashkouti F, Khamforoosh K.
europepmc +1 more source
, 2003 This thesis presents a series of theoretical results and practical realisations about the theory of computation in distributive categories. Distributive categories have been proposed as a foundational tool for Computer Science in the last years, starting from the papers of R.F.C. Walters.
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Retraction Note: Research on North Gulf distributed big data submarine 3D terrain computing system based on remote sensing and multi-beam [PDF]
, 2022 Yuan Dong +5 more
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