AI advisor platform for disaster response based on big data

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44555601%3A13510%2F23%3A43896119" target="_blank" >RIV/44555601:13510/23:43896119 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1002/cpe.6215" target="_blank" >https://doi.org/10.1002/cpe.6215</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1002/cpe.6215" target="_blank" >10.1002/cpe.6215</a>

Jazyk výsledku

angličtina

Název v původním jazyce

AI advisor platform for disaster response based on big data

Popis výsledku v původním jazyce

In the past, the emergency responses to disasters such as fire outbreak accidents, accidents that require first aid were slow and not optimal. With human intellect, it was impractical to analyze vast amounts of data regarding the continuity of the numerous environmental changes and the correlation there may be with emergency responses based on past experiences with similar situations. Today, artificial intelligence is presented as a powerful tool to various organizations. Many have already made various attempts to apply this technology as an advisor for emergency response. This research expands on the practicality and effectiveness of utilizing AI as an advisory platform for disaster response based on the big-data, and also it designs an AI advisor platform for disaster response with big data-based algorithms. Finally AI advisor function are defined as part of the AI advisor platform, the voice recognition function, natural language processing function, big data coordination function.

Název v anglickém jazyce

AI advisor platform for disaster response based on big data

Popis výsledku anglicky

In the past, the emergency responses to disasters such as fire outbreak accidents, accidents that require first aid were slow and not optimal. With human intellect, it was impractical to analyze vast amounts of data regarding the continuity of the numerous environmental changes and the correlation there may be with emergency responses based on past experiences with similar situations. Today, artificial intelligence is presented as a powerful tool to various organizations. Many have already made various attempts to apply this technology as an advisor for emergency response. This research expands on the practicality and effectiveness of utilizing AI as an advisory platform for disaster response based on the big-data, and also it designs an AI advisor platform for disaster response with big data-based algorithms. Finally AI advisor function are defined as part of the AI advisor platform, the voice recognition function, natural language processing function, big data coordination function.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Concurrency and Computation: Practice and Experience

ISSN

1532-0626

e-ISSN

1532-0634

Svazek periodika

35

Číslo periodika v rámci svazku

16

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

8

Strana od-do

1-8

Kód UT WoS článku

000613948400001

EID výsledku v databázi Scopus

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