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Scream to Survive(S2S): Intelligent System to Life-Saving in Disasters Relief

Abstract : Disasters are becoming more and more common around the world, making technology important to guarantee people’s lives as much as possible.One of the most modern advances of recent years is how AI is used in disaster relief. Researchers propose works based on new technologies (IoT, Cloud Computing, Blockchain, etc.) and AI concepts (Machine Learning, Natural Language Processing, etc.). But these concepts are difficult to exploit in low and middle socio-demographic index (SDI) countries, especially as most disasters happen in.In this paper we propose S2S intelligent system, based on voice recognition to life-saving in disaster relief. Generally, a disaster victim is enable to access to his Smartphone and ask help, with this system, saying “help” will be enough to send automatically alerts to the nearest Emergency Operation Services (EOS).S2S is composed of two parts: Intelligent application embedded on citizens and victims Smartphones, and S2S System for the Emergency Operation Services.
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https://hal.inria.fr/hal-03266459
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Submitted on : Monday, June 21, 2021 - 5:31:39 PM
Last modification on : Friday, July 30, 2021 - 4:00:36 PM
Long-term archiving on: : Wednesday, September 22, 2021 - 7:01:56 PM

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Nardjes Bouchemal, Aissa Serrar, yehya Bouzeraa, Naila Bouchmemal. Scream to Survive(S2S): Intelligent System to Life-Saving in Disasters Relief. 2nd International Conference on Machine Learning for Networking (MLN), Dec 2019, Paris, France. pp.414-430, ⟨10.1007/978-3-030-45778-5_29⟩. ⟨hal-03266459⟩

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