A novel Approach to LUFlow Intrusion Detection System Using Machine Learning Method

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creativework.keywordsNetwork Intrusion Detection System, Software Defined Networking, Deep Learning.
dc.contributor.advisorDr Mohammad Monirujjaman Khan
dc.contributor.authorTaslima Akter
dc.contributor.authorMD Asif Mahmud
dc.contributor.authorIntisha Islam
dc.contributor.id1721599042
dc.contributor.id1712841642
dc.contributor.id1711854642
dc.coverage.departmentElectrical and Computer Engineering
dc.date.accessioned2025-05-15
dc.date.accessioned2025-05-15T09:00:29Z
dc.date.available2025-05-15T09:00:29Z
dc.date.issued2021-02-28
dc.description.abstractWe will create a model that will be taking images as input and extract the Bangla words from there and translate it into English. The main idea is to recognize Bangla texts from images, extract it from there and translate it to English. We will use the knowledge on OCR, NLP, Google Cloud API, etc to make it happen. This application will be helpful to foreigners who will come to visit Bangladesh but don’t know Bangla. They can read any instruction and signs written in Bangla only by taking a photo of the sign and uploading it to our application to get the output.
dc.identifier.cd600000045
dc.identifier.urihttps://repository.northsouth.edu/handle/123456789/1154
dc.language.isoen_US
dc.publisherNorth South University
dc.rights© NSU Library
dc.titleA novel Approach to LUFlow Intrusion Detection System Using Machine Learning Method
dc.typeProject
oaire.citation.endPage41
oaire.citation.startPage1
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