Designing a novel framework of email spam detection using an improved heuristic algorithm and dual-scale feature fusion-based adaptive convolution neural network.

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Title: Designing a novel framework of email spam detection using an improved heuristic algorithm and dual-scale feature fusion-based adaptive convolution neural network.
Authors: Kadam, Vikas S.1, vikasskadam@gmail.com, Pingale, Subhash2, Biradar, Sangappa R.3, Rohokale, Vandana M.4, Bamane, Kalyan D.5
Source: Information Security Journal: A Global Perspective; 2025, Vol. 34 Issue 4, p286-309, 24p
Database: Applied Science & Technology Source
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DbLabel: Applied Science & Technology Source
An: 186082028
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  Data: <searchLink fieldCode="JN" term="%22Information+Security+Journal%3A+A+Global+Perspective%22">Information Security Journal: A Global Perspective</searchLink>; 2025, Vol. 34 Issue 4, p286-309, 24p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186082028
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        Value: 10.1080/19393555.2024.2432258
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      – Code: eng
        Text: English
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        PageCount: 24
        StartPage: 286
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      – TitleFull: Designing a novel framework of email spam detection using an improved heuristic algorithm and dual-scale feature fusion-based adaptive convolution neural network.
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            NameFull: Kadam, Vikas S.
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            NameFull: Pingale, Subhash
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            NameFull: Biradar, Sangappa R.
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            NameFull: Rohokale, Vandana M.
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            NameFull: Bamane, Kalyan D.
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            – D: 01
              M: 07
              Text: 2025
              Type: published
              Y: 2025
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              Value: 34
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            – TitleFull: Information Security Journal: A Global Perspective
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