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Mamoon Riaz, Hammad Dilpazir, Sundus Naseer, Hasan Mahmood, Asim Anwar, Junaid Khan, Ian B. Benitez and Tanveer Ahmad
In the past few decades, the transmission of data over an unsecure channel has resulted in an increased rate of hacking. The requirement to make multimedia data more secure is increasing day by day. Numerous algorithms have been developed to improve effi...
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Feng Wang, Peng Huang, Rongxin Zhao, Huayong Wu, Mengjin Sun, Zijie Zhou and Yun Xing
Debris poses multifaceted risks and jeopardizes various aspects of the environment, human health, safety, and infrastructure. The debris trajectory in turbulent wind flow is more dispersed due to the inherent randomness of the turbulent winds. This paper...
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Usman Javed Butt, Osama Hussien, Krison Hasanaj, Khaled Shaalan, Bilal Hassan and Haider al-Khateeb
As computer networks become increasingly important in various domains, the need for secure and reliable networks becomes more pressing, particularly in the context of blockchain-enabled supply chain networks. One way to ensure network security is by usin...
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Quanwei Liang, Wenzhe Kang, Lingjiu Zhou and Zhengwei Wang
Unstable guide vane torsional mode self-excited vibrations that occur at small guide vane openings during the transient operations with pump flow, such as the starting and closing of the pump mode, are considered to have potentially severe consequences, ...
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Zhu Fang and Zhengquan Xu
Advances in network technology have enhanced the concern for network security issues. In order to address the problem that hopping graph are vulnerable to external attacks (e.g., the changing rules of fixed graphs are more easily grasped by attackers) an...
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Zhenzhen Zhu, Zhidong Bai, João Paulo Vieito, Wing-Keung Wong
Pág. 5 - 30
We analyze the impact of the most recent global financial crisis (GFC) on the seven most important Latin American stock markets. Our mean-variance analysis shows that the markets are significantly less volatile and, in general, investors prefer to invest...
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Sanjiv R. Das, Karthik Mokashi and Robbie Culkin
We examine the use of deep learning (neural networks) to predict the movement of the S&P 500 Index using past returns of all the stocks in the index. Our analysis finds that the future direction of the S&P 500 index can be weakly predicted by the...
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Masud Pervez,Md. Harun Ur Rashid,Md. Asad Iqbal Chowdhury,Mahbubur Rahaman
Pág. 88 - 95
This study aims to examine the weak form efficiency of Dhaka Stock Exchange (DSE) using random walk model of EMH based on daily return series. The study applies both non-parametric [Kolmogorov-Smirnov test with Lilliefors coefficient, run test] and param...
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Sahin INANÇ, H. Kemal SEZEN
Pág. 13 - 26
As a part of their simulation work, random numbers are usually generated by computers. The purpose of this work is to test and verify the randomness of the so-called random generator so that it can be used in simulation runs. Additionally, in this study,...
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Edesiri Nkemnole
AbstractThe movement of stock prices, in capital markets across the world, has been found to be both random and non-random. Basically, for a stock price to follow a random walk, its future price changes randomly based on all currently available informati...
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