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Chen Zhang, Celimuge Wu, Min Lin, Yangfei Lin and William Liu
In the advanced 5G and beyond networks, multi-access edge computing (MEC) is increasingly recognized as a promising technology, offering the dual advantages of reducing energy utilization in cloud data centers while catering to the demands for reliabilit...
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J. Scott Thompson, Douglas D. Hodson, Michael R. Grimaila, Nicholas Hanlon and Richard Dill
Is it possible to develop a meaningful measure for the complexity of a simulation model? Algorithmic information theory provides concepts that have been applied in other areas of research for the practical measurement of object complexity. This article o...
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Tarek Berghout, Mohamed-Djamel Mouss, Leïla-Hayet Mouss and Mohamed Benbouzid
Machine learning prognosis for condition monitoring of safety-critical systems, such as aircraft engines, continually faces challenges of data unavailability, complexity, and drift. Consequently, this paper overcomes these challenges by introducing adapt...
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Aleksandr Cariow, Janusz P. Paplinski and Marta Makowska
The paper introduces a range of efficient algorithmic solutions for implementing the fundamental filtering operation in convolutional layers of convolutional neural networks on fully parallel hardware. Specifically, these operations involve computing M i...
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Eleanor Watson, Thiago Viana and Shujun Zhang
Annotation tools are an essential component in the creation of datasets for machine learning purposes. Annotation tools have evolved greatly since the turn of the century, and now commonly include collaborative features to divide labor efficiently, as we...
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Yaxin Mao, Lamei Yan, Hongyu Guo, Yujie Hong, Xiaocheng Huang and Youwei Yuan
Inertial measurement unit (IMU) technology has gained popularity in human activity recognition (HAR) due to its ability to identify human activity by measuring acceleration, angular velocity, and magnetic flux in key body areas like the wrist and knee. I...
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Phillip Kerger, David E. Bernal Neira, Zoe Gonzalez Izquierdo and Eleanor G. Rieffel
We present two algorithms in the quantum CONGEST-CLIQUE model of distributed computation that succeed with high probability: one for producing an approximately optimal Steiner tree, and one for producing an exact directed minimum spanning tree, each of w...
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Liudmila Chizhikova
Pág. 69 - 80
With the development of technology and new techniques, the need for complex cyber-physical systems is increasing. Practical example of such system with onboard control complex is unmanned aerial vehicles. When designing, developing and subsequent modific...
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Milan Brankovic and Mark E. Everett
Forward modeling plays a key role in both the creation of predictive models and the study of the surrounding environment through inversion methods. Due to their competitive computational cost and modest algorithmic complexity, finite difference methods (...
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Haojing Shen, Haksu Lee and Dong-Jun Seo
Kalman filter (KF) and its variants and extensions are wildly used for hydrologic prediction in environmental science and engineering. In many data assimilation applications of Kalman filter (KF) and its variants and extensions, accurate estimation of ex...
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