(Vision Paper) A Vision for Spatio-Causal Situation Awareness, Forecasting, and Planning
Successfully tackling many urgent challenges in socio-economically critical domains, such
as public health and sustainability, requires a deeper understanding of causal relationships …
as public health and sustainability, requires a deeper understanding of causal relationships …
STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction
The capacity to anticipate streamflow is critical to the efficient functioning of reservoir
systems as it gives vital information to reservoir operators about water release quantities as …
systems as it gives vital information to reservoir operators about water release quantities as …
[ΒΙΒΛΙΟ][B] A Dynamic Bayesian Network Framework for Data-Driven Fault Diagnosis and Prognosis of Smart Building Systems
OMS Pradhan - 2023 - search.proquest.com
Buildings are subject to faults in their heating, ventilation and air-conditioning (HVAC)
systems that can lead to excessive energy wastage, poor indoor climate, equipment failures …
systems that can lead to excessive energy wastage, poor indoor climate, equipment failures …
IoT-Based Comfort Control and Fault Diagnostics System for Energy-Efficient Homes
This project studies an Internet of Things (IoT)-based comfort control and fault diagnostics
system (referred as iComfort in this report) for energy-efficient homes. The system delivers …
system (referred as iComfort in this report) for energy-efficient homes. The system delivers …
DataStorm-EM: Exploration of Alternative Timelines within Continuous-Coupled Simulation Ensembles
Many socio-economical critical domains (such as sustainability, public health, and disasters)
are characterized by highly complex and dynamic systems, requiring data and model-driven …
are characterized by highly complex and dynamic systems, requiring data and model-driven …