The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Human Resources Optimization for Public Space Security: A GANs Approach
|
|
Author(s): S. C. Vetrivel (Kongu Engineering College, India), K. C. Sowmiya (Sri Vasavi College, India), V. Sabareeshwari (Amrita School of Agricultural Sciences, India)and V. P. Arun (Ujjivan Small Finance Bank, India)
Copyright: 2024
Pages: 22
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.ch019
Purchase
|
Abstract
This chapter explores the intersection of human resources management and cutting-edge technology in the realm of public space security. In an era where safety concerns are paramount, the integration of generative adversarial networks (GANs) into human resources strategies presents a novel and powerful approach to optimizing workforce efficiency. The chapter delves into the conceptualization, implementation, and impact of leveraging GANs in human resource practices to enhance public safety. The discussion begins by providing a comprehensive overview of the challenges faced in securing public spaces and highlights the evolving role of human resources in addressing these challenges. Drawing from real-world examples and case studies, the chapter illustrates how GANs, with their ability to generate realistic data and simulate complex scenarios, can be instrumental in refining the selection, training, and deployment of security personnel. Furthermore, the chapter explores the ethical considerations and potential pitfalls associated with the integration of GANs in human resources practices.
Related Content
|
Rais Abdul Hamid Khan, Yogesh Kantilal Sharma, Mandar S Karyakarte, Bipin Sule, Aarti Amod Agarkar.
© 2024.
11 pages.
|
|
Dwijendra Nath Dwivedi, Ghanashyama Mahanty, Shafik Khashouf.
© 2024.
14 pages.
|
|
Patel Janit Umeshbhai, Panchal Yash Kanubhai, Shaikh Mohammed Bilal, Shanti Verma.
© 2024.
13 pages.
|
|
Swaminathan Kalyanaraman, Sivaram Ponnusamy, S. Saju, S. Sangeetha, R. Karthikeyan.
© 2024.
14 pages.
|
|
Delshi Howsalya Devi, P. Santhosh Kumar, M. Aruna, S. Sharmila.
© 2024.
23 pages.
|
|
Mamta P. Khanchandani, Sanjay H. Buch, Shanti Verma, K. Baskar.
© 2024.
13 pages.
|
|
Harshita Chourasia, Neha Tiwari, Shraddha Raut, Anansingh Thinakaran, Anirudh A. Bhagwat.
© 2024.
13 pages.
|
|
|