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Devashish Pandey, Laura Bellentani, Matteo Villani, Guillermo Albareda, Paolo Bordone, Andrea Bertoni and Xavier Oriols
Measuring properties of quantum systems is governed by a stochastic (collapse or state-reduction) law that unavoidably yields an uncertainty (variance) associated with the corresponding mean values. This non-classical source of uncertainty is known to be...
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Mitica Craus, Vlad-Sergiu Bîrlescu and Maricel Agop
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Mitica Craus, Vlad-Sergiu Bîrlescu and Maricel Agop
In this paper, we prove that many parallel communication topologies and several parallel algorithms have fractal properties, which leads to the idea that there is a strong connection between the classical parallel computing and a plausible computing on a...
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Filippo Orazi, Simone Gasperini, Stefano Lodi and Claudio Sartori
Quantum computing has rapidly gained prominence for its unprecedented computational efficiency in solving specific problems when compared to classical computing counterparts. This surge in attention is particularly pronounced in the realm of quantum mach...
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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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This paper deals with the modeling and simulation of induction motor loads in power system stability studies considering the influence of the negative-sequence components. A practical method for computing the dynamic behavior of an induction motor under ...
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Akm Ashiquzzaman, Hyunmin Lee, Kwangki Kim, Hye-Young Kim, Jaehyung Park and Jinsul Kim
Current deep learning convolutional neural network (DCNN) -based hand gesture detectors with acute precision demand incredibly high-performance computing power. Although DCNN-based detectors are capable of accurate classification, the sheer computing pow...
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Obada Issa and Tamer Shanableh
This paper proposes a novel approach to activity recognition where videos are compressed using video coding to generate feature vectors based on compression variables. We propose to eliminate the temporal domain of feature vectors by computing the mean a...
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Beimbet Daribayev, Aksultan Mukhanbet and Timur Imankulov
The Poisson equation is a fundamental equation of mathematical physics that describes the potential distribution in static fields. Solving the Poisson equation on a grid is computationally intensive and can be challenging for large grids. In recent years...
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Hongyu Wei, Wenyue Chen, Lixue Zhu, Xuan Chu, Hongli Liu, Yinghui Mu and Zhiyu Ma
Neural networks are widely used in fruit sorting and have achieved some success. However, due to the limitations of storage space and power consumption, the storage and computing of a neural network model on embedded devices remain a massive challenge. A...
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Parfait Atchade-Adelomou, Guillermo Alonso-Linaje, Jordi Albo-Canals and Daniel Casado-Fauli
This article aims to bring quantum computing to robotics. A quantum algorithm is developed to minimize the distance traveled in warehouses and distribution centers where order picking is applied. For this, a proof of concept is proposed through a Raspber...
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Elisa Mammoliti, Davide Fronzi, Adriano Mancini, Daniela Valigi and Alberto Tazioli
Nowadays, the balance between incoming precipitation and stream or spring discharge is a challenging aspect in many scientific disciplines related to water management. In this regard, although advances in the methodologies for water balance calculation c...
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Ning Yu and Timothy Haskins
Regional rainfall forecasting is an important issue in hydrology and meteorology. Machine learning algorithms especially deep learning methods have emerged as a part of prediction tools for regional rainfall forecasting. This paper aims to design and imp...
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Zhibin Pan, Jin Tang, Tardi Tjahjadi, Zhihu Wu and Xiaoming Xiao
Viewshed computation of a digital elevation model (DEM) plays an important role in a geographic information system, but the required high computational time is a serious problem for a practical application. Hitherto, the mainstream methods of viewshed co...
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Fernando De la Prieta, Sara Rodríguez-González, Pablo Chamoso, Yves Demazeau and Juan Manuel Corchado
The cloud computing paradigm has the ability to adapt to new technologies and provide consistent cloud services. These features have led to the widespread use of the paradigm, making it necessary for the underlying computer infrastructure to cope with th...
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Hamzeh Dehghani, Iman Mansouri, Alireza Farzampour and Jong Wan Hu
The objective of this study is to explore a noble application of the improved homotopy perturbation procedure bases in structural engineering by applying it to the geometrically nonlinear analysis of the space trusses. The improved perturbation algorithm...
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Sebastian Raschka, Joshua Patterson and Corey Nolet
Smarter applications are making better use of the insights gleaned from data, having an impact on every industry and research discipline. At the core of this revolution lies the tools and the methods that are driving it, from processing the massive piles...
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Eugene Tikhonov,Manfred Sneps-Sneppe
Pág. 17 - 24
The article describes one of the powerful tools for the signals analysis while transmission ? complex mathematics. Here the basic concepts (complex numbers, complex signal as expansion of a real signal to a complex-valued function) and some operations (e...
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Fedor Grigoriev,Vladimir Sulimov,Alexander Tikhonravov
Pág. 130 - 133
The experimental study of the dependence of thin film properties on the deposition conditions may be still a great challenge. Today the progress in high performance computing allows one to perform the investigation of these dependencies on the atomistic ...
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Georgios Matheou
The growth of computing power combined with advances in modeling methods can yield high-fidelity simulations establishing numerical simulation as a key tool for discovery in the atmospheric sciences. A fine-scale large-eddy simulation (LES) utilizing 1.2...
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