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\u0645\u0644\u062e\u0635 \u0627\u0644\u0628\u062d\u062b<\/strong><\/p>\n 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.<\/p>\n \u0643\u064a\u0641\u064a\u0629 \u0627\u0644\u0627\u0633\u062a\u0634\u0647\u0627\u062f \u0644\u0644\u0628\u062d\u062b:<\/strong><\/p>\n Komarasamy, G., Ganeshan, R., Singh, A., Al-Safarini, M. Y., & Abdou, A. (2026). Advanced Fire Detection Using Machine Learning. In\u00a0Business Resilience and Business Innovation for Sustainability: The Double-Edged Role of Artificial Intelligence and Other Disruptive Technologies<\/em>\u00a0(pp. 2545-2561). Cham: Springer Nature Switzerland.<\/p>\n