An XGBoost Machine Learning Technique for RF Energy Harvesting Prediction in IP-enabled IoT Devices.
Obumneme Obiajulu UmeonwukaBabatunde S. AdejumobiThokozani ShongwePublished in: EUROCON (2023)
Keyphrases
- machine learning
- management system
- prediction accuracy
- prediction model
- energy consumption
- computational intelligence
- computer vision
- machine learning algorithms
- decision trees
- machine learning methods
- knowledge acquisition
- energy efficient
- prediction algorithm
- predictive modeling
- battery powered
- energy minimization
- smart objects
- supervised learning
- relevance feedback
- active learning
- mobile devices
- pattern recognition
- artificial intelligence
- data mining
- cloud computing
- text mining
- natural language processing
- power consumption
- computer science
- radio frequency
- neural network