Springer Machine Learning Applications for Intelligent Energy Management: Invited Chapters from Experts on the Energy Field: 35 (Learning and Analytics in Intelligent Systems, 35)

Machine Learning for the Quantified Self: On the Art of Learning from Sensory Data: 35 (Cognitive Systems Monographs, 35)

Springer

Biomass, Bioenergy & Bioeconomy: 35 (Microorganisms for Sustainability, 35)

Springer

Machine Learning Integration in Power Electronics: Essential Principles, Implementation Practices, and Industry Applications

Springer

Biomass, Bioenergy & Bioeconomy: 35 (Microorganisms for Sustainability, 35)

Springer

Springer - Applications of Machine Learning Book

Springer

Springer - Machine Learning and Metaheuristics Book

Springer

Springer - Sustainable IoT and Machine Learning Techniques

Springer

Machine Learning Applications for Bioenergy Conversion (Green Energy and Technology)

Springer

Energy Conversion Systems-Based Artificial Intelligence: Applications and Tools (Energy Systems in Electrical Engineering)

Machine Learning in Educational Sciences: Approaches, Applications and Advances

Machine Learning in Molecular Sciences: 36 (Challenges and Advances in Computational Chemistry and Physics, 36)

Springer

Smart Energy Management: Data Driven Methods for Energy Service Innovation

Springer

Macromolecular Science and Engineering: New Aspects: v. 35 (Springer Series in Materials Science)

Springer

Machine Learning for Critical Internet of Medical Things: Applications and Use Cases

Springer

Artificial Intelligence and Data Analytics for Innovative Applications in Engineering, Sustainability and Technology (Sustainable Artificial Intelligence-Powered Applications)

Springer

Deep Learning for Power System Applications: Case Studies Linking Artificial Intelligence and Power Systems (Power Electronics and Power Systems)

Springer

Artificial Intelligence in Sustainable Energy and Environmental Management (Green Energy and Technology)

Springer

Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing: Use Cases and Emerging Challenges

Machine Learning for Computer Scientists and Data Analysts: From an Applied Perspective

Springer

Machine Learning and Optimization for Engineering Design (Engineering Optimization: Methods and Applications)

Harmonic Estimation and Forecasting in Sparsely Monitored Uncertain Power Systems: Probabilistic and Machine Learning Approaches (Springer Theses)

Artificial Intelligence and Machine Learning Techniques in Engineering and Management

Springer

Artificial Intelligence in Industrial Applications: Approaches to Solve the Intrinsic Industrial Optimization Problems: 25 (Learning and Analytics in Intelligent Systems, 25)

Springer

Advanced Machine Learning with Evolutionary and Metaheuristic Techniques (Computational Intelligence Methods and Applications)