Machine Learning Model for Road Anomaly Detection Using Smartphone Accelerometer Data

Computer Science

• Accelerometer Data 100%
• Android (Operating System) 50%
• Anomaly Detection 100%
• Convolutional Neural Network 100%
• Experimental Result 50%
• Feature Extraction 50%
• Machine Learning-Based Approach 50%
• Mobile Application 50%
• Moving Average 50%
• Neural Network Architecture 50%
• Neural Network Model 50%

Engineering

• Anomaly Detection 100%
• Convolutional Neural Network 66%
• Experimental Result 33%
• Feature Extraction 33%
• Learning Approach 33%
• Learning System 100%
• Mobile Phone 33%
• Moving Average 33%
• Network Model 33%
• Neural Network Architecture 33%
• Road 100%
• Road Network 33%
• Road Surface 33%