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Jingyi Hu, Junfeng Guo, Zhiyuan Rui and Zhiming Wang
To solve the problem that noise seriously affects the online monitoring of parts signals of outdoor machinery, this paper proposes a signal reconstruction method integrating deep neural network and compression sensing, called ADMM-1DNet, and gives a deta...
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Michela Poli, Mauro Quaglierini, Alessandro Zega, Silvia Pardini, Mauro Telleschi, Giorgio Iervasi and Letizia Guiducci
Risk assessment and management during the entire production process of a radiopharmaceutical are pivotal factors in ensuring drug safety and quality. A methodology of quality risk assessment has been performed by integrating the advice reported in Eudral...
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Burhan Ul Islam Khan, Khang Wen Goh, Mohammad Shuaib Mir, Nur Fatin Liyana Mohd Rosely, Aabid Ahmad Mir and Mesith Chaimanee
As the Internet of Things (IoT) continues to revolutionize value-added services, its conventional architecture exhibits persistent scalability and security vulnerabilities, jeopardizing the trustworthiness of IoT-based services. These architectural limit...
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Zeyu Xu, Wenbin Yu, Chengjun Zhang and Yadang Chen
In the era of noisy intermediate-scale quantum (NISQ) computing, the synergistic collaboration between quantum and classical computing models has emerged as a promising solution for tackling complex computational challenges. Long short-term memory (LSTM)...
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Nyo Me Htun, Toshiaki Owari, Satoshi Tsuyuki and Takuya Hiroshima
High-value timber species with economic and ecological importance are usually distributed at very low densities, such that accurate knowledge of the location of these trees within a forest is critical for forest management practices. Recent technological...
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