使用机器学习模型的增强参数优化算法的大流行爆发预测

IF 0.4 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Electronic Security and Digital Forensics Pub Date : 2023-01-01 DOI:10.1504/ijesdf.2023.10052420

Ashima Kukkar, Dr.K.R.Ramkumar Kumar, Soni Singh

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Pandemic outbreak prediction with an enhanced parameter optimisation algorithm using machine learning models

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来源期刊

International Journal of Electronic Security and Digital Forensics COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

1.80

自引率

50.00%

发文量

期刊介绍： IJESDF aims to establish dialogue in an ideal and unique setting for researchers and practitioners to have a knowledge resource, report and publish scholarly articles and engage in debate on various security related issues, new developments and latest proven methodologies in the field of electronic security and digital forensics. This includes the measures governments must take to protect the security of information on the Internet, the implications of cyber-crime in large corporations and individuals, vulnerability research, zero day attacks, digital forensic investigation, ethical hacking, anti-forensics, identity fraud, phishing, pharming, and relevant case studies and “best practice" on tackling cyber crime.