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Composition of Hybrid Deep Learning Model and Feature Optimization for Intrusion Detection System.

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Title: Composition of Hybrid Deep Learning Model and Feature Optimization for Intrusion Detection System.
Authors: Henry, Azriel1 (AUTHOR), Gautam, Sunil2 (AUTHOR), Khanna, Samrat1 (AUTHOR), Rabie, Khaled3,4 (AUTHOR) k.rabie@mmu.ac.uk, Shongwe, Thokozani4 (AUTHOR), Bhattacharya, Pronaya5 (AUTHOR) k.rabie@mmu.ac.uk, Sharma, Bhisham6 (AUTHOR), Chowdhury, Subrata7 (AUTHOR)
Source: Sensors (14248220). Jan2023, Vol. 23 Issue 2, p890. 22p.
Database: Academic Search Ultimate
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An: 161560294
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  Data: Composition of Hybrid Deep Learning Model and Feature Optimization for Intrusion Detection System.
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  Data: <searchLink fieldCode="AR" term="%22Henry%2C+Azriel%22">Henry, Azriel</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gautam%2C+Sunil%22">Gautam, Sunil</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Khanna%2C+Samrat%22">Khanna, Samrat</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Rabie%2C+Khaled%22">Rabie, Khaled</searchLink><relatesTo>3,4</relatesTo> (AUTHOR)<i> k.rabie@mmu.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Shongwe%2C+Thokozani%22">Shongwe, Thokozani</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bhattacharya%2C+Pronaya%22">Bhattacharya, Pronaya</searchLink><relatesTo>5</relatesTo> (AUTHOR)<i> k.rabie@mmu.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Sharma%2C+Bhisham%22">Sharma, Bhisham</searchLink><relatesTo>6</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chowdhury%2C+Subrata%22">Chowdhury, Subrata</searchLink><relatesTo>7</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Sensors+%2814248220%29%22">Sensors (14248220)</searchLink>. Jan2023, Vol. 23 Issue 2, p890. 22p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=161560294
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        Value: 10.3390/s23020890
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        Text: English
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              Text: Jan2023
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