ARCHIVES

1. Sharma, R., Verma, P., & Gupta, S. (2023). AI-powered women safety application using IoT and GPS tracking. International
Conference on Emerging Technologies in Security and Safety (ICETSS), pp. 145-152. IEEE.
2. Thomas, A., Nair, V., & Krishnan, M. (2022). Smart wearable for real-time women safety with emergency alert system. Journal of
Smart Computing, 10(2), 134- 140.
3. Banerjee, P., & Patel, S. (2024). Deep learning-based distress detection for women safety: A review. IEEE Transactions on Smart
Security, 8(1), 20-33.
4. Singh, K., & Rao, D. (2023). IoT-based intelligent safety device for women: Implementation and analysis. Artificial Intelligence and
Human-Centered Computing, 5(3), 251-267.
5. Mehta, R., Chawla, P., & Das, S. (2022). Mobile applications for women safety: A comparative study. International Journal of Security
and Surveillance Technology, 7(4), 310-328.
6. Das, A., & Kapoor, V. (2023). Real-time panic alert and geo-tracking system for women safety. Proceedings of the Global Security
Summit, pp. 89-97. Springer.
7. Kumar, R., & Joshi, M. (2024). Smart self-defense systems for women using IoT and AI. Journal of Advanced Safety Technologies,
12(1), 55-70.
8. Patel, L., & Sharma, K. (2023). Wearable emergency alert system for women’s security using machine learning. Sensors and Actuators
for Safety Applications, 9(2), 180-195.
9. Gupta, N., & Iyer, P. (2022). Real-time crime detection for women safety using AI-enabled surveillance. IEEE International
Symposium on Safety Technologies, pp. 212-218.
10. Rajan, S., & Pillai, T. (2023). Women safety enhancement through smart tracking and emergency response. International Journal of
Smart and Secure Cities, 6(1), 55-72.
11. Mishra, D., & Singh, R. (2024). AI-driven predictive analytics for women safety: A case study. Advances in Secure Computing, 11(3),
290-306.
12. Sinha, P., & Kapoor, R. (2023). Safeguard AI: A real- time women safety companion with live tracking. International Journal of
Security Systems, 8(4), 190- 205.
13. Agarwal, V., & Chatterjee, S. (2022). An IoT-based smart keychain for women's security. Wireless Sensor Networks and Smart Devices,
5(2), 135-148.
14. Roy, A., & Basu, M. (2023). A survey on AI-based self-defense mechanisms for women safety. IEEE Transactions on Human-Centered
AI, 7(3), 112-130.
15. Sen, R., & Mukherjee, P. (2022). Voice-activated emergency response system for women safety. International Conference on AI for
Social Good, pp. 45-
16. Deshmukh, A., & Rao, S. (2023). AI-powered mobile apps for real-time tracking and distress alerts. Journal of Cyber Security and
Privacy, 4(2), 89-101.
17. Khanna, M., & Tiwari, R. (2024). A deep learning approach to women safety using real-time crowd analysis. IEEE Transactions on
Smart Security, 9(1), 67-80.
18. Saxena, V., & Kulkarni, P. (2022). Machine learning- based anomaly detection for women's safety. International Conference on
Cybersecurity and AI, pp. 75-83. Springer.
19. Srivastava, N., & Bhatia, R. (2023). Enhancing urban safety: AI-driven women security solutions. Journal of Emerging Technologies
for Safety, 6(3), 201-215.
20. Yadav, S., & Menon, K. (2024). Mobile AI assistant for real-time safety alerts: A smart solution for women. International Journal
of Mobile Security Applications, 5(1), 33-47.