Editors-in-Chief
Dr. Sarhan M. Musa
Prairie View A&M University, US
Information Fusion Research
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3029-2220 (Online) Journal Abbreviation:
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ISSN: 3029-2220(Online) The article processing charges is $800 per article. |
ISSN: Table of Contents
Open AccessArticles
by Naser Mohammadi
2024,2(1);
84 Views
Abstract
The surprising results of recent developments in various fields of artificial intelligence application have caused people to have a feeling of amazement combined with fear of the category of artificial intelligence. In many of since filed the data play a main role for development the sciences. Meanwhile data mining is one of the main subjects in artificial intelligence. In this editorial, brief and useful explanations about artificial intelligence, artificial neural networks, machine learning and deep learning are given, which help the reader to get a correct and clear understanding of the category of artificial intelligence.
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Open AccessArticles
by T.V.S. Ramamohan Rao
2024,2(1);
89 Views
Abstract
Studies dealing with the market power of a firm depend on the elasticity of demand even when market imperfection is acknowledged. This study suggests that a firm derives its market power due to its interface with consumers on the market as well as its interaction with rival firms on the market. As a result, its market share and market power over a unit of sales in the industry require attention in the context of imperfect markets. Similarly, non-price strategies of firms offer some market power that should be incorporated in the definition. Thus the modified market power indices are a significant contribution to the theoretical results.
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Open AccessArticles
by Cheryl Ann Alexander, Lidong Wang
2024,2(1);
70 Views
Abstract
This paper introduces the requirements of Big Data analytics for cybersecurity, and the challenges of Big Data analytics in cybersecurity are highlighted. Methods and technologies used for the cybersecurity of big data are presented. The cybersecurity of big data in healthcare is introduced. Deep learning (DL) has been used in big data and cybersecurity. The applications of DL in cybersecurity and healthcare are summarized, including examples of tasks and specific DL method(s) for each task. The cybersecurity of big data in a medical center is presented as a case study. In today’s highly technological healthcare environment, big data cybersecurity in healthcare is primarily through data encryption for both data at rest and data in motion. The healthcare industry utilizes encryption to protect the sensitive information included in the clinical chart so that only authorized users and recipients are able to view and read the data. Cybercriminals are typically unable to read the data because they lack the decryption key.
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