ItemScopus

Improving Indoor occupancy estimation using a hybrid CNN-LSTM approach

Title
Improving Indoor occupancy estimation using a hybrid CNN-LSTM approach
Description
2022 International Conference on Intelligent Controller and Computing for Smart Power, ICICCSP 2022
Creator
Ramanujam E.; Sharma A.; Hussian J.J.; Perumal T.
Source
<a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137793534&doi=10.1109%2fICICCSP53532.2022.9862328&partnerID=40&md5=d9cdf155a7d0cf48064875c460483e6b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137793534&doi=10.1109%2fICICCSP53532.2022.9862328&partnerID=40&md5=d9cdf155a7d0cf48064875c460483e6b</a>
Date
2022-01-01

Collection

Conference Papers

Citation

Ramanujam E.; Sharma A.; Hussian J.J.; Perumal T., “Improving Indoor occupancy estimation using a hybrid CNN-LSTM approach,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/10587.

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