الدكتور أحمد عبدو يشارك في نشر دراسة بعنوان "الكشف المتقدم عن الحرائق باستخدام التعلم الآلي"

ملخص البحث

A groundbreaking initiative is reshaping fire safety by fusing advanced machine learning with cutting-edge light sensors. This innovation swiftly detects fires, transmitting vital data for rapid emergency response, reducing damage, and enhancing safety. Its proactive approach, leveraging AI for real-time analysis and predictive risk assessment, enables preemptive measures, such as automated safety protocols. By mitigating fire hazards before escalation, this system not only saves lives and property but also lowers economic impacts and fosters resilient communities. Collaboration among stakeholders ensures ongoing innovation and adaptability to emerging challenges, promising a future of enhanced fire safety through continuous technological advancements.

كيفية الاستشهاد للبحث:

Komarasamy, G., Ganeshan, R., Singh, A., Al-Safarini, M. Y., & Abdou, A. (2026). Advanced Fire Detection Using Machine Learning. In Business Resilience and Business Innovation for Sustainability: The Double-Edged Role of Artificial Intelligence and Other Disruptive Technologies (pp. 2545-2561). Cham: Springer Nature Switzerland.

رابط البحث

https://link.springer.com/chapter/10.1007/978-3-031-87584-7_186