Gurpreet Singh Chhabra & Parul Dubey 
Developing AI, IoT and Cloud Computing-based Tools and Applications for Women’s Safety [PDF ebook] 

Soporte

In a world increasingly driven by technology, this book explores the intersection of artificial intelligence (AI), Io T, and Cloud Computing and women’s safety, highlighting the transformative potential of technology in safeguarding women’s well-being in the physical and the digital world. As the safety and security industry embraces technological advancements, the need for inclusive and gender-centric solutions has become increasingly evident. This reference book delves into this critical area, showcasing the development of AI, Io T, and Cloud applications specifically tailored to address the unique safety challenges faced by women.* Provides a comprehensive exploration of how AI and related technologies are reshaping the future of women’s safety.* Emphases the utilisation of AI to tackle the specific challenges women encounter in various contexts.* Introduces innovative solutions such as wearable technology, AI-powered surveillance systems, and mobile applications designed for emergency responses.* Discusses ethical implications of deploying technology for personal security and navigates the evolving legal landscape surrounding data privacy.* Bridges the gap between theoretical discussions and practical implementations, offering a guide to developing technology for the improvement of women’s safety.It is an invaluable resource for professionals and researchers interested in the transformative role of AI, Io T, and Cloud in shaping the future of women’s safety.

€64.47
Métodos de pago
¡Compre este libro electrónico y obtenga 1 más GRATIS!
Idioma Inglés ● Formato PDF ● Páginas 274 ● ISBN 9781040223604 ● Editor Gurpreet Singh Chhabra & Parul Dubey ● Editorial CRC Press ● Publicado 2024 ● Descargable 3 veces ● Divisa EUR ● ID 10002769 ● Protección de copia Adobe DRM
Requiere lector de ebook con capacidad DRM

Más ebooks del mismo autor / Editor

126.854 Ebooks en esta categoría