Incremental-precision based feature computation and multi-level classification for low-energy internet-of-things

Keyphrases

• Low Energy 100%
• Energy Consumption Reduction 100%
• Feature Computation 100%
• Multi-level Classification 100%
• Energy Internet of Things 100%
• Classification Accuracy 66%
• Architecture-centric 66%
• Seizure Detection 66%
• Path Decomposition 66%
• High Sensitivity 33%
• Energy Consumption 33%
• Novel Technique 33%
• Training Data 33%
• Area Overhead 33%
• Classification Approach 33%
• Misclassification Error 33%
• Small Area 33%
• Low-precision 33%
• Machine Learning Classifiers 33%
• Feature Classification 33%
• Multiple Classification 33%
• Hardware Architecture 33%
• Memory Overhead 33%

Computer Science

• Energy Consumption 100%
• Internet-Of-Things 100%
• Seizure Detection 50%
• Classification Accuracy 50%
• Hardware Architecture 25%
• classification approach 25%
• Training Data 25%
• Machine Learning 25%
• Learning System 25%
• Computer Hardware 25%

Engineering

• Reduce Energy Consumption 100%
• Internet-Of-Things 100%
• Classification Accuracy 66%
• Data Path 66%
• Misclassification 33%
• Learning System 33%