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Found 6 papers, 0 papers with code
SleepNet: Attention-Enhanced Robust Sleep Prediction using Dynamic Social Networks
Monitoring and predicting sleep behavior with ubiquitous sensors may therefore assist in both sleep management and tracking of related health conditions.
Traffic Prediction in Cellular Networks using Graph Neural Networks
Moreover, since drone fly at a finite speed, it is important that a predictive solution that can forecast traffic surges is adopted so that drones are available to offload the overload before it actually happens.
Networked Drones for Industrial Emergency Events
We focus on an end-to-end solution and formulate a two-phase strategy that can not only guarantee detection/acquisition of plume but also its characterization with high spatial resolution.
Exploiting Social Graph Networks for Emotion Prediction
To this end, we leverage phone data to construct social networks and develop a machine learning architecture that aggregates information from multiple users of the graph network and integrates it with the temporal dynamics of data to predict emotion for all the users.
A Brief Survey of Machine Learning Methods for Emotion Prediction using Physiological Data
Emotion prediction is a key emerging research area that focuses on identifying and forecasting the emotional state of a human from multiple modalities.
Modeling of Viral Aerosol Transmission and Detection
In this paper, we propose studying the disease spread mechanism in the atmosphere as an engineering problem.
