"machine learning"

Random Forest Classification of Finger Movements using Electromyogram (EMG) Signals

One of the fundamental problems in the development of prosthetic fingers is the recognition of finger movements using surface electrocardiogram (EMG) data. Most of the previous studies have proposed the classification of EMG signals using features …

DEEP Reinforcement Learning Based Energy Beamforming for Powering Sensor Networks

We focus on a wireless sensor network powered with an energy beacon, where sensors send their measurements to the sink using the harvested energy. The aim of the system is to estimate an unknown signal over the area of interest as accurately as …