Influence of Machine Learning and Gamma-Ray Spectral Parameters on Novelty Detection and Novelty Localization

Keyphrases

• Machine Learning 100%
• Gamma Rays 100%
• Novelty Detection 100%
• Spectral Parameter 100%
• Supervised Classification 33%
• Classification Approach 33%
• Density-based 16%
• Detection Result 16%
• Detection Method 16%
• Supervised Learning 16%
• Detection Algorithm 16%
• Monoenergetic 16%
• Development Effort 16%
• Spectral Analysis 16%
• Detection Performance 16%
• Extracting Information 16%
• Gamma-ray Spectrum 16%
• F1 Score 16%
• Detection Task 16%
• Complex Information 16%
• Source Energy 16%
• Channel Approach 16%
• Radioactive Source 16%
• Supervised Learning Method 16%
• Learning Parameters 16%
• Localization Results 16%
• Acquiring Information 16%
• Information of Interest 16%
• Spectral Learning 16%

Computer Science

• Learning System 100%
• Machine Learning 100%
• Supervised Learning 66%
• classification approach 66%
• Supervised Classification 66%
• Analysis Technique 33%
• Development Effort 33%
• Detection Algorithm 33%
• Research Effort 33%
• Learning Technique 33%
• Detection Performance 33%
• Learning Parameter 33%
• Extracting Information 33%
• Channel Approach 33%
• Radioactive Material 33%