Web page classification using convolutional neural network (CNN) towards eliminating internet addiction

• 主要な著者: Siti Hawa, Apandi, Jamaludin, Sallim, Rozlina, Mohamed, Araby, Madbouly
• フォーマット: Conference or Workshop Item
• 言語: English; English
• 出版事項: IEEE 2021
• 主題: QA76 Computer software
• オンライン･アクセス: http://umpir.ump.edu.my/id/eprint/33378/1/Web%20page%20classification%20using%20convolutional%20neural%20network%20%28cnn%29_FULL.pdf; http://umpir.ump.edu.my/id/eprint/33378/2/Web%20page%20classification%20using%20convolutional%20neural%20network%20%28cnn%29.pdf; http://umpir.ump.edu.my/id/eprint/33378/

In the modern world, everyone has access to the internet as a source of information by surfing the web pages. The most popular web page surf is on Game and Online Video Streaming. Users who are spending too much time on these kinds of web pages may lead to a negative impact on Internet addiction. To...