A Hybrid Edge-Cloud Computing Approach for Energy-Efficient Surveillance Using Deep Reinforcement Learning
- Title
- A Hybrid Edge-Cloud Computing Approach for Energy-Efficient Surveillance Using Deep Reinforcement Learning
- Description
- Proceedings - International Conference on Technological Advancements in Computational Sciences, ICTACS 2023 pp.432-438
- Creator
- Singh J.; Dabas P.; Bhati S.; Kumar S.; Upreti K.; Shaik N.
- Source
- <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185387726&doi=10.1109%2fICTACS59847.2023.10390108&partnerID=40&md5=527623e3a563ca1a35115e8948eb5635" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85185387726&doi=10.1109%2fICTACS59847.2023.10390108&partnerID=40&md5=527623e3a563ca1a35115e8948eb5635</a>
- Date
- 2023-01-01
Collection
Citation
Singh J.; Dabas P.; Bhati S.; Kumar S.; Upreti K.; Shaik N., “A Hybrid Edge-Cloud Computing Approach for Energy-Efficient Surveillance Using Deep Reinforcement Learning,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 8, 2025, https://archives.christuniversity.in/items/show/10043.