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Exploring Generative Adversarial Networks (GANs) in the Context of Public Space Protection
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Author(s): Harsha R. Vyawahare (Sipna College of engineering and Technology, Amravati, India), Seema Babusing Rathod (Sipna College of Engineering and Technology, Amravati, India), Sheetal Dhande (Sipna College of Engineering and Technology, Amravati, India), Krushna Ajay Bajaj (Sipna College of Engineering and Technology, Amravati, India)and Sarika Khandelwal (G.H. Raisoni College of Engineering, India)
Copyright: 2024
Pages: 15
Source title:
Enhancing Security in Public Spaces Through Generative Adversarial Networks (GANs)
Source Author(s)/Editor(s): Sivaram Ponnusamy (Sandip University, Nashik, India), Jilali Antari (Ibn Zohr Agadir University, Morocco), Pawan R. Bhaladhare (Sandip University, Nashik, India), Amol D. Potgantwar (Sandip University, Nashik, India)and Swaminathan Kalyanaraman (Anna University, Trichy, India)
DOI: 10.4018/979-8-3693-3597-0.ch016
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Abstract
In the rapidly evolving landscape of public space security, this chapter presents a comprehensive exploration of the transformative role played by generative adversarial networks (GANs). GANs have emerged as a powerful tool in reshaping the paradigm of public space protection. The chapter aims to elucidate the multifaceted applications, benefits, and challenges of integrating GAN technology into security frameworks. Beginning with a foundational understanding of GANs, the chapter navigates through their architecture, principles, and historical evolution. It delves into the specific applications of GANs in public space security, unraveling their capacity to revolutionize surveillance and threat detection. The chapter also addresses the advantages brought forth by GANs and potential challenges, including ethical considerations and biases. Looking ahead, the chapter explores future prospects and emerging trends, providing insights into the evolving role of GANs in addressing the dynamic security challenges faced in public environments.
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