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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tulsi Pawan Fowdur | - |
dc.date.accessioned | 2024-11-19T07:47:23Z | - |
dc.date.available | 2024-11-19T07:47:23Z | - |
dc.date.issued | 2024 | - |
dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/11735 | - |
dc.description.abstract | This book offers both theoretical insights and hands-on experience in understanding and building machine learning-based Network Traffic Monitoring and Analysis (NTMA) and Video Quality Assessment (VQA) applications using JavaScript. JavaScript provides the flexibility to deploy these applications across various devices and web browsers. The book begins by delving into NTMA, explaining fundamental concepts and providing an overview of existing applications and research within this domain. It also goes into the essentials of VQA and offers a survey of the latest developments in VQA algorithms. | vi |
dc.language.iso | en | vi |
dc.subject | JavaScript | Machine learning | Node. js | vi |
dc.title | Machine learning for network traffic and video quality analysis : develop and deploy applications using JavaScript and Node.js | vi |
dc.type | Sách/Book | vi |
Appears in Collections | Tin học |
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