
Developing AI, IoT and Cloud Computing-based Tools and Applications for Women’s Safety
- 272 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Developing AI, IoT and Cloud Computing-based Tools and Applications for Women’s Safety
About this book
In a world increasingly driven by technology, this book explores the intersection of artificial intelligence (AI), IoT, 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, IoT, 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, IoT, and Cloud in shaping the future of women's safety.
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Information
Table of contents
- Cover
- Half Title
- Title
- Copyright
- Contents
- Foreword
- Preface
- Editor Biography
- List of Contributors
- Chapter 1 Introduction to the Integration of AI, IOT, and Cloud Computation for Social Welfare
- Chapter 2 AI, IoT, and Cloud Overview With Respect to Women’s Safety
- Chapter 3 A Comprehensive Review of Addressing Women’s Safety Concerns Through an Integrated AI, IoT, and Cloud Computing Approach
- Chapter 4 Secure Women’s Safety Platform Using Ethereum Blockchain
- Chapter 5 Personal Security Through Wearable Technology
- Chapter 6 Emergency Response Mobile Apps
- Chapter 7 Boosting Emergency Management: Leveraging Mobile Apps for Rapid Response to Crises
- Chapter 8 Artificial Intelligence, IoT, and Cloud in Transportation Safety
- Chapter 9 Cyber Security for Personal Data
- Chapter 10 A Lightweight Fast-Four Q-Key Generation for Embedded Devices on Women’s Safety
- Chapter 11 Navigating Legal and Ethical Dimensions in AI, IoT, and Cloud Solutions for Women’s Safety
- Chapter 12 Participation in the Community and Education
- Chapter 13 Breaking Boundaries: AI Safeguards for Women and Transgender Individuals
- Chapter 14 Empowering Safety Through Innovation: Understanding the Role of Technology in Women’s Safety
- Chapter 15 Successful Implementations: Case Studies
- Index