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Poornima Mahadevappa, Redhwan Al-amri, Gamal Alkawsi, Ammar Ahmed Alkahtani, Mohammed Fahad Alghenaim and Mohammed Alsamman
Edge data analytics refers to processing near data sources at the edge of the network to reduce delays in data transmission and, consequently, enable real-time interactions. However, data analytics at the edge introduces numerous security risks that can ...
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Igor Kabashkin
With the evolution towards the interconnected future internet spanning satellites, aerial systems, terrestrial infrastructure, and oceanic networks, availability modeling becomes imperative to ensure reliable service. This paper presents a methodology to...
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Rao Mikkilineni
Making computing machines mimic living organisms has captured the imagination of many since the dawn of digital computers. However, today?s artificial intelligence technologies fall short of replicating even the basic autopoietic and cognitive behaviors ...
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Robert Kleijnen, Markus Robens, Michael Schiek and Stefan van Waasen
Accelerated simulations of biological neural networks are in demand to discover the principals of biological learning. Novel many-core simulation platforms, e.g., SpiNNaker, BrainScaleS and Neurogrid, allow one to study neuron behavior in the brain at an...
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Theo Lynn, Grace Fox, Anna Gourinovitch and Pierangelo Rosati
High performance computing (HPC) is widely recognized as a key enabling technology for advancing scientific progress, industrial competitiveness, national and regional security, and the quality of human life. Notwithstanding this contribution, the large ...
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Samuel Olugbenga King
There has been significant interest in the development and deployment of visual tagging applications in recent times. But user perceptions about the purpose and function of visual tagging systems have not received much attention. This paper presents a us...
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Fabio Banchelli, Marta Garcia-Gasulla and Filippo Mantovani
Top-Down models are defined by hardware architects to provide information on the utilization of different hardware components. The target is to isolate the users from the complexity of the hardware architecture while giving them insight into how efficien...
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Raffaele Bolla, Alessandro Carrega, Matteo Repetto and Giorgio Robino
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Jianming Liang and Jianhua Gong
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Mohammad Zounemat-Kermani, Youngmin Seo, Sungwon Kim, Mohammad Ali Ghorbani, Saeed Samadianfard, Shabnam Naghshara, Nam Won Kim and Vijay P. Singh
This study evaluates standalone and hybrid soft computing models for predicting dissolved oxygen (DO) concentration by utilizing different water quality parameters. In the first stage, two standalone soft computing models, including multilayer perceptron...
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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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Saeed Musaad Altalhi, Fathy Elbouraey Eassa, Abdullah Saad Al-Malaise Al-Ghamdi, Sanaa Abdullah Sharaf, Ahmed Mohammed Alghamdi, Khalid Ali Almarhabi and Maher Ali Khemakhem
As the development of high-performance computing (HPC) is growing, exascale computing is on the horizon. Therefore, it is imperative to develop parallel systems, such as graphics processing units (GPUs) and programming models, that can effectively utilis...
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Lei Ren, Jianming Miao, Yulong Li, Xiangxin Luo, Junxue Li and Michael Hartnett
In order to obtain forward states of coastal currents, numerical models are a commonly used approach. However, the accurate definition of initial conditions, boundary conditions and other model parameters are challenging. In this paper, a novel applicati...
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Ghassan Fadlallah, Hamid Mcheick and Djamal Rebaine
Pervasive collaborative computing within the Internet of Things (IoT) has progressed rapidly over the last decade. Nevertheless, emerging architectural models and their applications still suffer from limited capacity in areas like power, efficient comput...
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Weizhi Wang, Arun Kamath, Tobias Martin, Csaba Pákozdi and Hans Bihs
Modern design for marine and coastal activities places increasing focus on numerical simulations. Several numerical wave models have been developed in the past few decades with various techniques and assumptions. Those numerical models have their own adv...
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Lei Liu, Yong Sun, Min Ji, Huimeng Wang and Jiantao Liu
The three-dimensional (3D) geological voxel model is essential for numerical simulation and resource calculation. However, it can be challenging due to the point in polygon test in 3D voxel modeling. The commonly used Winding number algorithm requires th...
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Waqas Ul Hussan, Muhammad Khurram Shahzad, Frank Seidel and Franz Nestmann
The accurate estimate of sediment load is important for management of the river ecosystem, designing of water infrastructures, and planning of reservoir operations. The direct measurement of sediment is the most credible method to estimate the sediments....
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Zhiwei Yang and Weigang Wu
A dynamic network is the abstraction of distributed systems with frequent network topology changes. With such dynamic network models, fundamental distributed computing problems can be formally studied with rigorous correctness. Although quite a number of...
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O.Ya. Bezhaeva
Pág. 23 - 29
- In this paper, the principles and approaches to ensuring the functional safety of computing and communication systems components are formulated. The properties of defects as varieties of complex controlled systems are considered. The conceptual basis o...
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Diego Montes , Juan A. Añel , David C. H. Wallom , Peter Uhe , Pablo V. Caderno and Tomás F. Pena
Cloud computing is a mature technology that has already shown benefits for a wide range of academic research domains that, in turn, utilize a wide range of application design models. In this paper, we discuss the use of cloud computing as a tool to impro...
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