Deep Learning Approaches for Environmental Monitoring in Smart Cities
- Title
- Deep Learning Approaches for Environmental Monitoring in Smart Cities
- Description
- Proceedings of 9th International Conference on Science, Technology, Engineering and Mathematics: The Role of Emerging Technologies in Digital Transformation, ICONSTEM 2024
- Creator
- Latha Soundarraj P.; Jamadar V.M.; Rappai S.; Alkhafaji M.A.; Shareef A.M.; Zearah S.A.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198827731&doi=10.1109%2fICONSTEM60960.2024.10568705&partnerID=40&md5=72fabe32bc6a15112448c445393af879" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85198827731&doi=10.1109%2fICONSTEM60960.2024.10568705&partnerID=40&md5=72fabe32bc6a15112448c445393af879</a>
- Date
- 2024-01-01
Collection
Citation
Latha Soundarraj P.; Jamadar V.M.; Rappai S.; Alkhafaji M.A.; Shareef A.M.; Zearah S.A., “Deep Learning Approaches for Environmental Monitoring in Smart Cities,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 10, 2025, https://archives.christuniversity.in/items/show/9731.