OBJECT DETECTION IN INLAND VESSELS USING COMBINED TRAINED AND PRETRAINED MODELS OF YOLO8.

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Title: OBJECT DETECTION IN INLAND VESSELS USING COMBINED TRAINED AND PRETRAINED MODELS OF YOLO8.
Authors: Goudah, Ahmad A.1, ahmad.goudah@aast.edu, Jarofka, Maximilian1, maximilian.jarofka@uni-due.de, El-Habrouk, Mohmed2, eepgmme1@yahoo.co.uk, Schramm, Dieter1, dieter.schramm@uni-due.de, Dessouky, Yasser G.3, ygd@aast.edu
Source: Advances in Computing & Engineering; Dec2023, Vol. 3 Issue 2, p64-117, 54p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 174483160
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: OBJECT DETECTION IN INLAND VESSELS USING COMBINED TRAINED AND PRETRAINED MODELS OF YOLO8.
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  Data: <searchLink fieldCode="AU" term="%22Goudah%2C+Ahmad+A%2E%22">Goudah, Ahmad A.</searchLink><relatesTo>1</relatesTo>, <i>ahmad.goudah@aast.edu</i><br /><searchLink fieldCode="AU" term="%22Jarofka%2C+Maximilian%22">Jarofka, Maximilian</searchLink><relatesTo>1</relatesTo>, <i>maximilian.jarofka@uni-due.de</i><br /><searchLink fieldCode="AU" term="%22El-Habrouk%2C+Mohmed%22">El-Habrouk, Mohmed</searchLink><relatesTo>2</relatesTo>, <i>eepgmme1@yahoo.co.uk</i><br /><searchLink fieldCode="AU" term="%22Schramm%2C+Dieter%22">Schramm, Dieter</searchLink><relatesTo>1</relatesTo>, <i>dieter.schramm@uni-due.de</i><br /><searchLink fieldCode="AU" term="%22Dessouky%2C+Yasser+G%2E%22">Dessouky, Yasser G.</searchLink><relatesTo>3</relatesTo>, <i>ygd@aast.edu</i>
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=174483160
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.21622/ACE.2023.03.2.064
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      – Code: eng
        Text: English
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        PageCount: 54
        StartPage: 64
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      – TitleFull: OBJECT DETECTION IN INLAND VESSELS USING COMBINED TRAINED AND PRETRAINED MODELS OF YOLO8.
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            NameFull: Goudah, Ahmad A.
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            NameFull: Jarofka, Maximilian
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            NameFull: El-Habrouk, Mohmed
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            – D: 01
              M: 12
              Text: Dec2023
              Type: published
              Y: 2023
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