Abstract: Energy-aware system design is an important optimization task for static and mobile Internet of Things (IoT)-based sensor ... a novel machine learning-based approach for forecasting the ...

sensors and poses fewer privacy concerns than camera imagery, can be an alternative to the cameras in mmWave link quality prediction. Specifically, we propose a mmWave received power prediction method ...

Although an automated approach using wearable devices ... important valuables for the machine-learning models, as shown in Figure 7, and were calculated from acceleration data. An acceleration-sensor ...

Focused primarily on running inference/prediction ... using existing tools as much as possible. The defaults right now are to do conventional signal processing (no learning) in sensor, and stream raw ...

The global energy grid is undergoing a profound transformation. Moving from traditional centralized control systems to more dynamic, distributed structures, thi ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. Intelligent organizations prioritize investments in machine learning and real-time data ...

Today’s vehicles use ... power. Figure 2 Machine learning, up and coming to the sensor level, can be used to create models for measuring and mitigating automotive sensor degradation. Source: Mathworks ...

harnessing the power of data and algorithms to teach computer systems how to make accurate predictions. It's possible to use machine learning to discern the mood of a song from its melody or to ...