Gas Values Prediction and Forecast Techniques Based on DL Models
Author:
Affiliation:
1. University of Catania,Department of Electrical, Electronic and Computer Engineering,Italy,95123
2. Vicosystems S.r.l.,Catania,Italy,95128
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10348627/10348628/10348839.pdf?arnumber=10348839
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1. Hydrogeological Risk Management in Smart Cities: A New Approach to Rainfall Classification Based on LTE Cell Selection Parameters
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3. Graph-Deep-Learning-Based Inference of Fine-Grained Air Quality From Mobile IoT Sensors
4. Review of urban computing in air quality management as smart city service: An integrated IoT, AI, and cloud technology perspective
5. Estimation of air pollutants emission (PM10, CO, SO2 and NOx) during development of the industry using AUSTAL 2000 model: A new method for sustainable development
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