Integrating Deep Learning Features Extraction and Image Processing for Visual Pattern Analysis in Air Quality Index (AQI) Classification
This paper presents a hybrid approach that combines deep learning with traditional image processing to identify and classify visual patterns related to air quality index (AQI) levels in digital images. This method integrates the VGG16 model, famous for deep visual feature extraction, with classical...
| 出版年: | 2024 IEEE 22nd Student Conference on Research and Development, SCOReD 2024 |
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| 第一著者: | |
| フォーマット: | Conference paper |
| 言語: | English |
| 出版事項: |
Institute of Electrical and Electronics Engineers Inc.
2024
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| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219525159&doi=10.1109%2fSCOReD64708.2024.10872648&partnerID=40&md5=2f9c260df2aaba7ccd7d93e353f7cde5 |