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2022 ◽  
Vol 22 (3) ◽  
pp. 1-14
Author(s):  
K. Shankar ◽  
Eswaran Perumal ◽  
Mohamed Elhoseny ◽  
Fatma Taher ◽  
B. B. Gupta ◽  
...  

COVID-19 pandemic has led to a significant loss of global deaths, economical status, and so on. To prevent and control COVID-19, a range of smart, complex, spatially heterogeneous, control solutions, and strategies have been conducted. Earlier classification of 2019 novel coronavirus disease (COVID-19) is needed to cure and control the disease. It results in a requirement of secondary diagnosis models, since no precise automated toolkits exist. The latest finding attained using radiological imaging techniques highlighted that the images hold noticeable details regarding the COVID-19 virus. The application of recent artificial intelligence (AI) and deep learning (DL) approaches integrated to radiological images finds useful to accurately detect the disease. This article introduces a new synergic deep learning (SDL)-based smart health diagnosis of COVID-19 using Chest X-Ray Images. The SDL makes use of dual deep convolutional neural networks (DCNNs) and involves a mutual learning process from one another. Particularly, the representation of images learned by both DCNNs is provided as the input of a synergic network, which has a fully connected structure and predicts whether the pair of input images come under the identical class. Besides, the proposed SDL model involves a fuzzy bilateral filtering (FBF) model to pre-process the input image. The integration of FBL and SDL resulted in the effective classification of COVID-19. To investigate the classifier outcome of the SDL model, a detailed set of simulations takes place and ensures the effective performance of the FBF-SDL model over the compared methods.


2022 ◽  
Vol 135 ◽  
pp. 104046
Author(s):  
Taerang Jung ◽  
Henrique Raduenz ◽  
Petter Krus ◽  
Victor J. De Negri ◽  
Jangmyung Lee

2022 ◽  
Vol 120 ◽  
pp. 102925
Author(s):  
Rui Hu ◽  
Di Lu ◽  
Chengke Xiong ◽  
Chenxin Lyu ◽  
Hexiong Zhou ◽  
...  

2022 ◽  
Vol 30 (7) ◽  
pp. 0-0

This paper aims to study the Countermeasures of big data security management in the prevention and control of computer network crime in the absence of relevant legislation and judicial practice. Starting from the concepts and definitions of computer crime and network crime, this paper puts forward the comparison matrix, investigation and statistics method and characteristic measure of computer crime. Through the methods of crime scene investigation, network investigation and network tracking, this paper studies the big data security management countermeasures in the prevention and control of computer network crime from the perspective of criminology. The experimental results show that the phenomenon of low age is serious, and the number of Teenagers Participating in network crime is on the rise. In all kinds of cases, criminals under the age of 35 account for more than 50%.


2022 ◽  
Vol 42 (1) ◽  
pp. 172-191
Author(s):  
Caroline Giusti de Araújo ◽  
Antonio Carlos Diegues

ABSTRACT The international trade literature has shown the benefits of the international fragmentation of production for developing countries. However, there are considerations about the hierarchy and control in Global Value Chains (GVCs). Thus, this research aims to evaluate the Brazilian and Chinese international insertion in GVCs by proposing an index about technological sophistication in exports (qtech) by technological intensity for 2005-2015. The results pointed out that the integration in GVCs and technological sophistication have been directed towards technological clusters in which Brazil has revealed comparative advantages, while China has been moving towards technological clusters with dynamic comparative advantages.


2022 ◽  
Vol 166 ◽  
pp. 108415
Author(s):  
Grzegorz Kudra ◽  
Jose M. Balthazar ◽  
Angelo M. Tusset ◽  
Grzegorz Wasilewski ◽  
Bartosz Stańczyk ◽  
...  

Structures ◽  
2022 ◽  
Vol 37 ◽  
pp. 168-184
Author(s):  
Jinxiang Zhang ◽  
Mingjin Zhang ◽  
Xulei Jiang ◽  
Renan Yuan ◽  
Jisheng Yu ◽  
...  

The Civil Construction and Public Works sector in Portugal has undergone huge oscillations over the last years, reflected on the number of companies, turnover and number of direct employees assigned to the activity. This sector is an important sector for economic growth and companies must adopt strategic analysis and control tools in order to survive and remain competitive. Companies operate in a large, highly competitive and demanding market, with new players and new business models. Companies need to find new ways of competing worldwide and internationalization emerges as one of the business responses to the challenge of globalization. Sustainability is a commitment to the future, a route that organizations must travel to search the best solutions to humankind problems, whether they are economic, social or environmental.


Author(s):  
Frede Nidal Anakira ◽  
Ali Jameel ◽  
Mohmmad Hijazi ◽  
Abdel-Kareem Alomari ◽  
Noraziah Man

<p>In this paper, a modified procedure based on the residual power series method (RPSM) was implemented to achieve approximate solution with high degree of accuracy for a system of multi-pantograph type delay differential equations (DDEs). This modified procedure is considered as a hybrid technique used to improve the curacy of the standard RPSM by combining the RPSM, Laplace transform and Pade approximant to be a powerful technique that can be solve the problems directly without large computational work, also even enlarge domain and leads to very accurate solutions or gives the exact solutions which is consider the best advantage of this technique. Some numerical applications are illustrated and numerical results are provided to prove the validity and the ability of this technique for this type of important differential equation that appears in different applications in engineering and control system.</p>


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