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

Machine Learning Applied to Composite Materials (Composites Science and Technology)

Machine Learning in 2D Materials Science

Theoretical and Computational Materials Science: Advances and Applications

Machine Learning for Advanced Functional Materials

Springer

Machine Learning in Educational Sciences: Approaches, Applications and Advances

Mechanically Alloyed Novel Materials: Processing, Applications, and Properties (Advanced Structured Materials)

Springer

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

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

Advanced Materials for Multidisciplinary Applications

Scientific Machine Learning for Polymeric Materials

Machine Learning Tools for Chemical Engineering: Methodologies and Applications

Elsevier

Application of Machine Learning in Slope Stability Assessment

Generalized Matrix Inversion: A Machine Learning Approach

Deep Learning and Practice with MindSpore (Cognitive Intelligence and Robotics)

Springer

Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python

Computational Materials Science

Metal Additive Manufacturing: Methods, Materials and Applications (Materials Forming, Machining and Tribology)

Methodologies, Frameworks, and Applications of Machine Learning

Neural Networks and Learning Algorithms in MATLAB (Synthesis Lectures on Intelligent Technologies)

Carbon-Based Nanomaterials for Environmental Applications (Engineering Materials)

Sustainable Nanomaterials: Synthesis and Environmental Applications (Sustainable Materials and Technology)

Application of Machine Learning and Optimization Methods in Engineering Mathematics

Smart Nanomaterials in Biomedical Applications: Properties and Functional Behaviors (Engineering Materials)

Advanced Applications of 2D Nanostructures: Emerging Research and Opportunities (Materials Horizons: From Nature to Nanomaterials)