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Development of a Cluster with Cloud Computing Based on Neural Networks With Deep Learning for Modeling Multidimensional Fields

Кібернетика та комп'ютерні технології, 2021
Introduction. The modeling of multidimensional fields on multiprocessors, with a neural network architecture, which is rebuilt in the process of solving the problem by means of deep learning, is considered.
Mykola Kosovets, Lilia Tovstenko
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Computing within the 2021 Snowmass process [PDF]

EPJ Web of Conferences
We present different elements of the 2021–2022 Computational Frontier (CompF) effort within the Snowmass process, including organization, events, and highlights of the final report [1].
Elvira V. Daniel
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High density mechanical energy storage with carbon nanothread bundle

Nature Communications, 2020
Carbon nanothreads are promising for applications in mechanical energy storage and energy harvesting. Here the authors use large-scale molecular dynamics simulations and continuum elasticity theory to explore mechanical energy storage in carbon ...
Haifei Zhan, Gang Zhang, John M. Bell, Vincent B. C. Tan, Yuantong Gu   +4 more
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Managing success criteria and success factors in a BPM project: an approach using PRINCE2 and Success Management on the public sector

Cogent Business & Management
The public sector has many challenges when improving business processes. One of those challenges is managing the projects’ success by considering the context and constraints of public management and business process management (BPM).
Nilton Takagi, João Varajão, Thiago Ventura, Darclea Ubialli, Thais Silva   +4 more
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Mobile Membranes

IEEE Access, 2020
Mobile membranes represent a model of computation inspired from the biological movement provided by endocytosis and exocytosis in the living cells. This paper presents a survey of the results treating the computational power of the mobile membranes ...
Bogdan Aman, Gabriel Ciobanu
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Optimum Design of CDM-Backstepping Control with Nonlinear Observer for Electrohydraulic Servo System Using Ant Swarm

Cybernetics and Information Technologies, 2019
This paper introduces an application of an Ant Colony Optimization algorithm to optimize the parameters in the design of a type of nonlinear robust control algorithm based on coefficient diagram method and backstepping strategy with nonlinear observer ...
Haouari Fouad, Bali Nourdine, Tadjine Mohamed, Boucherit Mohamed Seghir   +3 more
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Evaluating machine learning models comprehensively for predicting maximum power from photovoltaic systems

Scientific Reports
This paper presents a machine learning (ML) model designed to track the maximum power point of standalone Photovoltaic (PV) systems. Due to the nonlinear nature of power generation in PV systems, influenced by fluctuating weather conditions, managing ...
Samir A. Hamad, Mohamed A. Ghalib, Amr Munshi, Majid Alotaibi, Mostafa A. Ebied   +4 more
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Resource Utilization Scheme of Idle Virtual Machines for Multiple Large-Scale Jobs Based on OpenStack

Applied Sciences, 2019
Cloud computing services that provide computing resources to users through the Internet also provide computing resources in a virtual machine form based on virtualization techniques.
Jueun Jeon, Jong Hyuk Park, Young-Sik Jeong   +2 more
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Sensing emotional valence and arousal dynamics through automated facial action unit analysis

Scientific Reports
Information about the concordance between dynamic emotional experiences and objective signals is practically useful. Previous studies have shown that valence dynamics can be estimated by recording electrical activity from the muscles in the brows and ...
Junyao Zhang, Wataru Sato, Naoya Kawamura, Koh Shimokawa, Budu Tang, Yuichi Nakamura   +5 more
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The Regional Medical Business Process Optimization Based on Cloud Computing Medical Resources Sharing Environment

Cybernetics and Information Technologies, 2013
The paper elaborates some basic concepts, for example, cloud computing, medical resources sharing, business process optimization, and then points out the problems in the development process of regional health informatization. However, there are many good
Xi A. Bei, Qin B. Qiuli, Huang C. Lei
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