Learn how to build, collect, and analyze real-time data using a low-cost data acquisition device trainer and a machine learning model. This first article in a two-part hands-on tutorial will show you ...

This paper demonstrates the feasibility of predicting the future received power of millimeter-wave (mmWave) communication using point cloud data. To mitigate the human blockage problem in mmWave ...

Energy-aware system design is an important optimization task for static and mobile Internet of Things (IoT)-based sensor nodes, especially for highly resource-constrained vehicles such as mobile ...

The idea is simple enough: just place a INA219 current sensor between the power supply and the microcontroller under observation, and record the resulting measurements as it goes about its business.

However, the idea of using machine learning to manage sensor degradation in vehicles is currently in infancy and will require far more compute power. Figure 2 Machine learning, up and coming to the ...

In comparison to traditional machine learning algorithms that can solve the same tasks, the Ohio State team's algorithm is more accurate, and uses 400 to 1,250 times less training data to make ...