Conditional synthetic data generation for robust machine learning applications with limited pandemic data
Background: At the onset of a pandemic, such as COVID-19, data with proper
labeling/attributes corresponding to the new disease might be unavailable or sparse …
labeling/attributes corresponding to the new disease might be unavailable or sparse …
Time series-based deep learning model for personal thermal comfort prediction
Personal thermal comfort models are crucial for the future of human-in-the-loop HVAC
control in energy-efficient buildings. Individual comfort models, compared to average …
control in energy-efficient buildings. Individual comfort models, compared to average …
[LIVRE][B] Data-Centric Machine Learning for Human-Centric Applications
HP Das - 2023 - search.proquest.com
Climate change and pandemics are two of the most pressing threats facing humanity today.
Addressing these urgent threats require immediate mitigative actions. In the US, buildings …
Addressing these urgent threats require immediate mitigative actions. In the US, buildings …
Unmanned Waste Leaf Cleaning Hybrid Power Generation Sweeper Based on MATLAB Road Planning
R Zhang, Y Yu, H Wu, J Shu, X Zhao, J Yuan… - International Conference …, 2023 - Springer
Abstract According to the “2021 National Annual Report on the Prevention and Control of
Environmental Pollution by large and medium municipal Solid Waste,” released by the …
Environmental Pollution by large and medium municipal Solid Waste,” released by the …
[PDF][PDF] Graphical Lasso based Cluster Analysis in Energy-Game Theoretic Frameworks
HP Das - 2021 - digicoll.lib.berkeley.edu
Energy consumption of buildings, both residential and commercial, account for
approximately 40% of all energy usage in the US [1]. In efforts to improve energy efficiency …
approximately 40% of all energy usage in the US [1]. In efforts to improve energy efficiency …