Revolutionizing indoor emergency evacuation prediction with machine learning: A Hand-searching technique and content analysis on Random Forest algorithm.

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Title: Revolutionizing indoor emergency evacuation prediction with machine learning: A Hand-searching technique and content analysis on Random Forest algorithm.
Authors: Syed Abdul Rahman, Syed Ahmad Fadhli1, Maulud, Khairul Nizam Abdul1,2 knam@ukm.edu.my, Mazlan, Muhammad Fadhli Mustaqim2
Source: Journal of Contingencies & Crisis Management. Mar2024, Vol. 32 Issue 1, p1-12. 12p.
Database: Academic Search Ultimate
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  Data: Revolutionizing indoor emergency evacuation prediction with machine learning: A Hand-searching technique and content analysis on Random Forest algorithm.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Contingencies+%26+Crisis+Management%22">Journal of Contingencies & Crisis Management</searchLink>. Mar2024, Vol. 32 Issue 1, p1-12. 12p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=175125158
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1111/1468-5973.12502
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      – Code: eng
        Text: English
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        PageCount: 12
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      – TitleFull: Revolutionizing indoor emergency evacuation prediction with machine learning: A Hand-searching technique and content analysis on Random Forest algorithm.
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            NameFull: Syed Abdul Rahman, Syed Ahmad Fadhli
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            NameFull: Maulud, Khairul Nizam Abdul
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            NameFull: Mazlan, Muhammad Fadhli Mustaqim
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              Text: Mar2024
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              Y: 2024
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              Value: 32
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            – TitleFull: Journal of Contingencies & Crisis Management
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