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Wenping Xu, Wenzhuo Li, David Proverbs and Wenbo Chen
Humanitarian supply chains play a major role in enabling disaster-affected areas to recover in a timely manner and enable economic and social activities to be restored. However, the sudden onset and increasing frequency of natural disasters such as flash...
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Huajie Wang and Yinglin Wang
The natural language model BERT uses a large-scale unsupervised corpus to accumulate rich linguistic knowledge during its pretraining stage, and then, the information is fine-tuned for specific downstream tasks, which greatly improves the understanding c...
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Marco Furinghetti, Igor Lanese and Alberto Pavese
In this research work the outcomes of a hybrid experimental campaign are analyzed, in order to evaluate the influence of aftershock events on the frictional response of sliding-based isolation devices for buildings. To achieve this, a hybrid testing fram...
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Di Zhang, Zhepeng Han, Kai Zhang, Jinfen Zhang, Mingyang Zhang and Fan Zhang
Recently, the safety issue of maritime autonomous surface ships (MASS) has become a hot topic. Preliminary hazard analysis of MASS can assist autonomous ship design and ensure safe and reliable operation. However, since MASS technology is still at its ea...
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Florian Amann, Francesca Badaracco, Riccardo DeSalvo, Luca Naticchioni, Andrea Paoli, Luca Paoli, Paolo Ruggi and Stefano Selleri
The Einstein Telescope will be a gravitational wave observatory comprising six nested detectors, three optimized to collect low-frequency signals, and three for high frequency. It will be built a few hundred meters under Earth?s surface to reduce direct ...
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Alexander Sboev, Sanna Sboeva, Ivan Moloshnikov, Artem Gryaznov, Roman Rybka, Alexander Naumov, Anton Selivanov, Gleb Rylkov and Vyacheslav Ilyin
The paper presents the full-size Russian corpus of Internet users? reviews on medicines with complex named entity recognition (NER) labeling of pharmaceutically relevant entities. We evaluate the accuracy levels reached on this corpus by a set of advance...
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HyunKi Lee, Sasha Madar, Santusht Sairam, Tejas G. Puranik, Alexia P. Payan, Michelle Kirby, Olivia J. Pinon and Dimitri N. Mavris
In recent years, there has been a rapid growth in the application of data science techniques that leverage aviation data collected from commercial airline operations to improve safety. This paper presents the application of machine learning to improve th...
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Gatot Soebiyakto,I.N.G. Wardana,Nurkholis Hamidi,Lilis Yuliati
Pág. 46 - 55
The application of the combustion process influenced by magnetic circle 4 poles sequentially (N-S-N-S) against premixed combustion of vegetable-aromatic oil at an equivalence ratio approaching stoichiometry is studied. The reactant reaction causes the he...
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Wisinee Wisetjindawat, Matthew Ian Burke, Motohiro Fujita
Pág. 1198 - 1212
Natural hazards cause much damage to lives, assets, and the economy as a whole. The functional discontinuity of businesses impacted by a natural disaster has a direct impact on affected community's quality of live. In regional and remote communities petr...
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M. Denner,H. Oosthuizen
AbstractThis paper explores the transferability and application of business-driven strategic thinking to that of a public sector context, namely national mapping organisations. These organisations exist throughout the world because the economies of the w...
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