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Bata Hena, Ziang Wei, Luc Perron, Clemente Ibarra Castanedo and Xavier Maldague
Industrial radiography is a pivotal non-destructive testing (NDT) method that ensures quality and safety in a wide range of industrial sectors. Conventional human-based approaches, however, are prone to challenges in defect detection accuracy and efficie...
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Van Minh Nguyen, Emma Sandidge, Trupti Mahendrakar and Ryan T. White
The accelerating deployment of spacecraft in orbit has generated interest in on-orbit servicing (OOS), inspection of spacecraft, and active debris removal (ADR). Such missions require precise rendezvous and proximity operations in the vicinity of non-coo...
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Syed Zafar Abbas Mehdi, Aiffah Mohd Ali and Safiah Zulkifli
One of the challenges of the Internet of Things (IoT) is to provide connectivity to devices around the globe. Long Range (LoRa) is one of the most practical technologies due to its low-power and long-range capabilities to be used by the Low Earth Orbit (...
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Shenghui Tong, James Murtagh and Richard Proctor
This paper examines and compares the dividend policies of American depository receipt (ADR) firms and U.S. firms and identifies the factors that determine these policies for both types of companies. We find that ADR firms have higher dividend yields than...
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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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George Sisias, Myrto Konstantinidou and Sotirios Kontogiannis
Automated deep learning and data mining algorithms can provide accurate detection, frequency patterns, and predictions of dangerous goods passing through motorways and tunnels. This paper presents a post-processing image detection application and a three...
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Mamatjan Abdurxit, Turdi Tohti and Askar Hamdulla
Biomedical entity linking is an important research problem for many downstream tasks, such as biomedical intelligent question answering, information retrieval, and information extraction. Biomedical entity linking is the task of mapping mentions in medic...
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Alexander Sboev, Anton Selivanov, Ivan Moloshnikov, Roman Rybka, Artem Gryaznov, Sanna Sboeva and Gleb Rylkov
Nowadays, the analysis of digital media aimed at prediction of the society?s reaction to particular events and processes is a task of a great significance. Internet sources contain a large amount of meaningful information for a set of domains, such as ma...
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Ziquan Huang, Shichao Zheng, Dongfang Wang and Xiaogang Deng
To improve the resolution and accuracy of the high-order weighted compact nonlinear scheme (WCNS), a new ??
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-adaptive algorithm based on local smoothness indicators is proposed. The new algorithm introduces a high-order global smoothness indicator to a...
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Ulysse Coutaud, Martin Heusse and Bernard Tourancheau
We characterize the LoRa channel in terms of multi-path fading, loss burstiness, and assess the benefits of Forward Error Correction as well as the influence of frame length. We make these observations by synthesizing extensive experimental measurements ...
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