Actualités

IEEE3 a
Millimeter-wave Received Power Prediction Using Point Cloud Data and Supervised Learning - IEEE Xplore
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 ...
IEEE6 a
Machine Learning Based Uplink Transmission Power Prediction for LTE and Upcoming 5G Networks Using Passive Downlink Indicators - IEEE Xplore
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 ...
Design News2 mois
How to Build an Arduino-Based Solar Power Prediction System Using Python & Machine Learning, Part 1 How to Build an Arduino-Based Solar Power Prediction System Using Python ...
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 ...
Hackaday4 a
Machine Learning Current Sensor Snoops On MCUs - Hackaday
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.
Computer Weekly12 a
GE uses big data to power machine services business
GE, one of the UK's largest manufacturers, is using big data analytics to predict maintenance needs. GE manufactures jet engines, turbines and medical scanners.