Home ›
Entities
› academia
› Deep Reinforcement Learning for Dynamic Access Control with Battery Prediction for Mobile-Edge Computing in Green IoT Networks
Deep Reinforcement Learning for Dynamic Access Control with Battery Prediction for Mobile-Edge Computing in Green IoT Networks
Research article (2019 11th International Conference on Wireless Communications and Signal Processing (WCSP), 2019) · cited 11× · AI/ML
Deep Reinforcement Learning for Dynamic Access Control with Battery Prediction for Mobile-Edge Computing in Green IoT Networks
Summary
Deep Reinforcement Learning for Dynamic Access Control with Battery Prediction for Mobile-Edge Computing in Green IoT Networks is a scholarly article[1].
Key Facts
Deep Reinforcement Learning for Dynamic Access Control with Battery Prediction for Mobile-Edge Computing in Green IoT Networks's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Deep Reinforcement Learning for Dynamic Access Control with Battery Prediction for Mobile-Edge Computing in Green IoT Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/deep-reinforcement-learning-for-dynamic-access-control-with-battery-prediction-for-mobile-edge-computing-in-green-iot-ne
MLA“Deep Reinforcement Learning for Dynamic Access Control with Battery Prediction for Mobile-Edge Computing in Green IoT Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deep-reinforcement-learning-for-dynamic-access-control-with-battery-prediction-for-mobile-edge-computing-in-green-iot-ne.
BibTeX@misc{4ortxyz_deep-reinforcement-learning-for-dynamic-access-control-with-battery-prediction-for-mobile-edge-computing-in-green-iot-ne_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep Reinforcement Learning for Dynamic Access Control with Battery Prediction for Mobile-Edge Computing in Green IoT Networks}}, year = {2026}, url = {https://4ort.xyz/entity/deep-reinforcement-learning-for-dynamic-access-control-with-battery-prediction-for-mobile-edge-computing-in-green-iot-ne}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep Reinforcement Learning for Dynamic Access Control with Battery Prediction for Mobile-Edge Computing in Green IoT Networks — https://4ort.xyz/entity/deep-reinforcement-learning-for-dynamic-access-control-with-battery-prediction-for-mobile-edge-computing-in-green-iot-ne (retrieved 2026-05-24)
