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Big Data and Machine Learning in Defence


Authors
Yijie Weng1 and Jianhao Wu2, 1University of Maryland, USA, 2Cornell University, USA


Abstract
In the era of data-driven warfare, the integration of big data and machine learning (ML) techniques has become paramount for enhancing defence capabilities. This research report delves into the applications of big data and ML in the defence sector, exploring their potential to revolutionize intelligence gathering, strategic decision-making, and operational efficiency. By leveraging vast amounts of data and advanced algorithms, these technologies offer unprecedented opportunities for threat detection, predictive analysis, and optimized resource allocation. However, their adoption also raises critical concerns regarding data privacy, ethical implications, and the potential for misuse. This report aims to provide a comprehensive
understanding of the current state of big data and ML in defence, while examining the challenges and  ethical considerations that must be addressed to ensure responsible and effective implementation.

Keywords
Big Data, Machine Learning, Defence, Advanced Algorithms, Predictive Analysis, Data Privacy


Paper URL
https://aircconline.com/ijcsit/V16N2/16224ijcsit03.pdf

Volume URL:
https://airccse.org/journal/ijcsit2024_curr.html

Youtube URL : https://youtu.be/CyumiQIN9mc
==============================
International Journal of Computer Science and Information Technology (IJCSIT) -h-index 58


https://airccse.org/journal/ijcsit.html


ISSN: 0975-3826(online); 0975-4660 (Print)


Submission link
http://coneco2009.com/submissions/imagination/home.html



Contact Us :

 ijcsit@airccse.org or ijcsit@aircconline.com

 


 

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