Amanote Research
Register
Sign In
Machine Learning-Based Occupancy Estimation Using Multivariate Sensor Nodes
doi 10.1109/glocomw.2018.8644432
Full Text
Open PDF
Abstract
Available in
full text
Date
December 1, 2018
Authors
Adarsh Pal Singh
Vivek Jain
Sachin Chaudhari
Frank Alexander Kraemer
Stefan Werner
Vishal Garg
Publisher
IEEE
Related search
Analysis of Spectrum Occupancy Using Machine Learning Algorithms
IEEE Transactions on Vehicular Technology
Electronic Engineering
Automotive Engineering
Computer Networks
Applied Mathematics
Communications
Electrical
Aerospace Engineering
Proximity Distance Estimation Based on Capacitive Coupling Between 1mm3 Sensor Nodes
GPU Performance Estimation Using Software Rasterization and Machine Learning
Transactions on Embedded Computing Systems
Hardware
Architecture
Software
River Instantaneous Peak Flow Estimation Using Daily Flow Data and Machine-Learning-Based Models
Journal of Hydroinformatics
Geotechnical Engineering
Civil
Engineering Geology
Atmospheric Science
Structural Engineering
Water Science
Technology
Host Based Intrusion Detection Using Machine Learning
Human Motion Recognition by Textile Sensor Based on Machine Learning Algorithms
GARCH Parameter Estimation by Machine Learning
International Journal of Engineering and Applied Sciences (IJEAS)
PHURIE: Hurricane Intensity Estimation From Infrared Satellite Imagery Using Machine Learning
Neural Computing and Applications
Artificial Intelligence
Software
Machine Learning-Based Channel Estimation in Massive MIMO With Channel Aging
