IEEE

Real-Time Unsupervised Nonintrusive Load Monitoring Based on Graph Signal Processing

Abstract: Nonintrusive load monitoring (NILM) is an economical technology for promoting demand-side management (DSM) by offering electricity usage details. Driven by the fact that most existing NILM ...
IEEE

Graph Neural Network-Based Task Migration Strategy for Battery Run Time Optimization of Smart Medical Device Cluster

Abstract: The interconnection of smart medical devices is becoming an important trend in healthcare. Due to the differences in task requirements and power reserves of smart medical device clusters, if ...
GitHub

Traffic prediction is the task of predicting future traffic measurements (e.g. volume, speed, etc.) in a road network (graph), using historical data (timeseries).

Foreseeing Congestion using LSTM on Urban Traffic Flow Clusters ICSAI 2019 Keras; dataset: CityPulse Using LSTM and GRU neural network methods for traffic flow prediction IEEE YAC 2016 Keras; dataset: ...
Hosted on MSN

Distance math finally makes sense

Distance math finally makes sense 📏!! Labour ‘out of step’ on oil and gas, says Badenoch as poll shows support Boomers refuse to retire, average age of new hires keeps rising So much for a 'final ...