Machine Learning under Resource Constraints

Volume 1
Fundamentals

1 Introduction
2 Data Gathering and Resource Measuring
3 Streaming Data, Small Devices
4 Structured Data
5 Cluster Analysis
6 Hardware-Aware Execution
7 Memory Awareness
8 Communication Awareness
9 Energy Awareness
Bibliography
Index

Volume 2 
Discovery in Physics

1 Introduction
2 Challenges in Particle and Astroparticle Physics
3 Key Concepts in Machine Learning and Data Analysis
4 Data Acquisition and Data Structure
5 Monte Carlo Simulations
6 Data Storage and Access
7 Monitoring and Feature Extraction
8 Event Property Estimation and Signal Background Separation
9 Deep Learning Applications
10 Inverse Problems
Bibliography
Index

Volume 3:
Applications

1. Editorial
2. Health / Medicine
3. Industry 4.0
4. Smart City and Traffic
5. Communication Networks
6. Privacy
Bibliography | 413
Index 461