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Weihao Cao, Guangli Cheng, Bao Liu and Yangfan Cai
The current time-domain solution methods for the wavefield equations of a single medium do not apply to the wavefield equations of shallow water seismic with a fluid?elastomer coupling. To solve this problem, based on the explicit central difference meth...
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Mizuki Asano, Takumi Miyoshi and Taku Yamazaki
Smart home environments, which consist of various Internet of Things (IoT) devices to support and improve our daily lives, are expected to be widely adopted in the near future. Owing to a lack of awareness regarding the risks associated with IoT devices ...
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Melita Grant and Juliet Willetts
Partnerships between water, sanitation and hygiene (WASH) and rights-holder organisations (RHOs) have become more common, important and impactful in the international development sector, and they have been driven by aligned agendas, mutual benefits and t...
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Shaahin Angizi, Naima Ahmed Fahmi, Deniz Najafi, Wei Zhang and Deliang Fan
In this work, we present an efficient Processing in MRAM-Accelerated De Bruijn Graph-based DNA Assembly platform, named PANDA, based on an optimized and hardware-friendly genome assembly algorithm. PANDA is able to assemble large-scale DNA sequence datas...
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Dibo Dong, Shangwei Wang, Qiaoying Guo, Yiting Ding, Xing Li and Zicheng You
Predicting wind speed over the ocean is difficult due to the unequal distribution of buoy stations and the occasional fluctuations in the wind field. This study proposes a dynamic graph embedding-based graph neural network?long short-term memory joint fr...
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Maria Vasilyeva, Sergei Stepanov, Alexey Sadovski and Stephen Henry
We consider the multispecies model described by a coupled system of diffusion?reaction equations, where the coupling and nonlinearity are given in the reaction part. We construct a semi-discrete form using a finite volume approximation by space. The full...
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Fatma Yaprakdal and Merve Varol Arisoy
In the smart grid paradigm, precise electrical load forecasting (ELF) offers significant advantages for enhancing grid reliability and informing energy planning decisions. Specifically, mid-term ELF is a key priority for power system planning and operati...
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Juan M. Lujano-Rojas, Rodolfo Dufo-López, Jesús Sergio Artal-Sevil and Eduardo García-Paricio
Assessing the training process of artificial neural networks (ANNs) is vital for enhancing their performance and broadening their applicability. This paper employs the Monte Carlo simulation (MCS) technique, integrated with a stopping criterion, to const...
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Elpidio Romano, Andrea Falegnami, Anna Corinna Cagliano and Carlo Rafele
Healthcare facilities require flexible layouts that can adapt quickly in the face of various disruptions. COVID-19 confirmed this need for both healthcare and manufacturing systems. Starting with the transfer of decision support systems from manufacturin...
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Botian Zhou, Sha Luo and Shijie Zhang
Planetary rovers play a critical role in space exploration missions, where one of the most fundamental algorithms is pose determination. Due to environmental and computational constraints, real-time pose determinations of planetary rovers can only use lo...
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