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Mazen Alowish, Yoshiaki Shiraishi, Masami Mohri and Masakatu Morii
The Internet of connected vehicles (IoCV) has made people more comfortable and safer while driving vehicles. This technology has made it possible to reduce road casualties; however, increased traffic and uncertainties in environments seem to be limitatio...
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Félix Gélinas-Gascon and Richard Khoury
Negative social media usage during the COVID-19 pandemic has highlighted the importance of understanding the spread of misinformation and toxicity in public online discussions. In this paper, we propose a novel unsupervised method to discover the structu...
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Libero Nigro
K-means is a well-known clustering algorithm often used for its simplicity and potential efficiency. Its properties and limitations have been investigated by many works reported in the literature. K-means, though, suffers from computational problems when...
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Manoj Sindhwani, Shippu Sachdeva, Krishan Arora, Taehyun Yoon, Daeseung Yoo, Gyanendra Prasad Joshi and Woong Cho
The vehicular ad hoc network is an emerging area of technology that provides intelligent transportation systems with vast advantages and applications. Frequent disconnections between the vehicular nodes due to high-velocity vehicles impact network perfor...
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Yulia Davydova
Pág. 11 - 18
Online social networks (OSN) are actively used for implementation of illegal and destructive activities including propaganda of drugs, suicide, terrorism. There is the task of detecting such materials for providing information-psychological security of a...
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Syed Aizaz Ali Shah, Maximilian Stark and Gerhard Bauch
The information bottleneck method is a generic clustering framework from the field of machine learning which allows compressing an observed quantity while retaining as much of the mutual information it shares with the quantity of primary relevance as pos...
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