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Weifeng Liu, Feihong Yun, Gang Wang, Liquan Wang and Shaoming Yao
As a key piece of equipment in underwater production system, a reliability study of deep-sea connectors has important theoretical significance and engineering value for increasing fault-free operation time, improving engineering safety, and reducing main...
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Seung Gook Cha, Donghyun Kim and Young Joong Yoon
In this paper, a compact direction-finding system based on a deep neural network (DNN) with a single-patch multi-beam antenna is proposed. To achieve multiple beams, the patch is divided into four sectors by metal vias, and the pattern is tilted in the t...
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Wiem Chebil, Mohammad Wedyan, Moutaz Alazab, Ryan Alturki and Omar Elshaweesh
This research proposes a new approach to improve information retrieval systems based on a multinomial naive Bayes classifier (MNBC), Bayesian networks (BNs), and a multi-terminology which includes MeSH thesaurus (Medical Subject Headings) and SNOMED CT (...
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Ping Xiao, Ting Wang, Yu Tian, Xinmin Xie, Jinjun You, Xinru Tan and He Chen
In this study, a Bayesian network (BN)-based inhibition model is developed for the rainstorm?landslide?debris flow (R-L-D) disaster chain in the mountainous area of the Greater Bay Area (GBA), China, using the historical disaster data. Twelve nodes are s...
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Linda Mohaisen and Laurie Joiner
Vehicular Ad Hoc Networks (VANETs) are increasingly playing a fundamental role in improving driving safety. However, VANETs in a sparse environment may add risk to driving safety. The probability of a low density of vehicles in a rural area at midnight i...
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