公开(公告)号：US20190041484A1

公开(公告)日：2019-02-07

申请号：US16146893

申请日：2018-09-28

申请人： Yatish Mishra ,  Mats Agerstam ,  Mateo Guzman ,  Sindhu Pandian ,  Shubhangi Rajasekhar ,  Pranav Sanghadia ,  Troy Willes

发明人： Yatish Mishra ,  Mats Agerstam ,  Mateo Guzman ,  Sindhu Pandian ,  Shubhangi Rajasekhar ,  Pranav Sanghadia ,  Troy Willes

IPC分类号： G01R35/00 ,  G06N3/08 ,  H04L29/08 ,  G06F15/18 ,  G06K9/62 ,  G06Q10/04 ,  G06F17/30

摘要： Methods, apparatus, systems and articles of manufacture to trigger calibration of a sensor node using machine learning are disclosed. An example apparatus includes a machine learning model trainer to train a machine learning model using first sensor data collected from a sensor node. A disturbance forecaster is to, using the machine learning model and second sensor data, forecast a temporal disturbance to a communication of the sensor node. A communications processor is to transmit a first calibration trigger in response to a determination that a start of the temporal disturbance is forecasted and a determination that a first calibration trigger has not been sent.