Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing

Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing
Author: Ponnusamy, Sivaram
Publisher: IGI Global
Total Pages: 352
Release: 2024-03-25
Genre: Computers
ISBN:

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In a world where the safety of women remains a pressing issue, the intersection of artificial intelligence (AI) and emerging technologies is a motivating force. Despite strides toward gender equality, women continue to face threats, harassment, and violence, necessitating innovative solutions. Traditional approaches fall short of providing comprehensive protection, prompting the exploration of innovative technologies to address these challenges effectively. Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing emerges as a timely and indispensable solution to the persistent safety issues faced by women globally. This persuasive book not only articulates the problems women encounter but also presents groundbreaking solutions that harness the transformative potential of AI. It delves into the intricate ways AI applications, from mobile safety apps to predictive analytics, can be strategically employed to create a safer and more inclusive society for women.


Wearable Devices, Surveillance Systems, and AI for Women's Wellbeing
Language: en
Pages: 352
Authors: Ponnusamy, Sivaram
Categories: Computers
Type: BOOK - Published: 2024-03-25 - Publisher: IGI Global

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In a world where the safety of women remains a pressing issue, the intersection of artificial intelligence (AI) and emerging technologies is a motivating force.
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"In a world increasingly driven by technology, this book explores the intersection of artificial intelligence (AI), IoT and Cloud Computing and women's safety,
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As the demand for data security intensifies, the vulnerabilities become glaring, exposing sensitive information to potential threats. In this tumultuous landsca
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In a world where automation is quickly becoming a standard, a significant challenge arises – the need for robots to overcome their inherent limitations in pro