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

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

Springer

Nucleic Acid Photophysics and Photochemistry: 36 (Nucleic Acids and Molecular Biology, 36)

Springer

Academic Press Advances in Atomic, Molecular, and Optical Physics Vol 36

Academic Press

Nonlinear Dynamics and Complexity: Mathematical Modelling of Real-World Problems: 36 (Nonlinear Systems and Complexity, 36)

Springer

Current Trends in Computational Modeling for Drug Discovery: 35 (Challenges and Advances in Computational Chemistry and Physics, 35)

Current Trends in Computational Modeling for Drug Discovery: 35 (Challenges and Advances in Computational Chemistry and Physics, 35)

Machine Learning in Biological Sciences: Updates and Future Prospects

Springer

Machine Learning for Advanced Functional Materials

Springer

Springer Interdigital Sensors: Progress over the Last Two Decades

Springer

Springer Materials Informatics I: Methods - Volume 39

Springer

Semiclassical Nonadiabatic Molecular Dynamics: Theory and Simulation with and without Classical Trajectories (Challenges and Advances in Computational Chemistry and Physics, 38)

Springer

Computational Chemistry: Introduction to the Theory and Applications of Molecular and Quantum Mechanics

Springer

Springer Emerging Materials and Environment: 37 Book

Springer

Digital Technology Platforms and Deployment: 36 (Information Systems Engineering and Management, 36)

Springer

Machine Learning for Disease Detection, Prediction, and Diagnosis: Challenges and Opportunities

Springer

Novel Financial Applications of Machine Learning and Deep Learning: Algorithms, Product Modeling, and Applications: 336 (International Series in Operations Research & Management Science, 336)

Springer

Functional Biochemistry of Metallic Elements (Advances in Biochemistry in Health and Disease, 36)

Springer

Machine Learning-Augmented Spectroscopies for Intelligent Materials Design (Springer Theses)

Springer

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

Springer

Technical Advancements of Machine Learning in Healthcare: 936 (Studies in Computational Intelligence, 936)

Machine Learning for Materials Discovery: Numerical Recipes and Practical Applications (Machine Intelligence for Materials Science)

Machine Learning in Educational Sciences: Approaches, Applications and Advances

Agroforestry to Combat Global Challenges: Current Prospects and Future Challenges: 36 (Sustainable Development and Biodiversity, 36)

Springer

Emerging Materials and Environment: 37 (Challenges and Advances in Computational Chemistry and Physics, 37)