Machine Learning Algorithms and Applications in Engineering | Environmental Engineering

Machine Learning for Civil and Environmental Engineers A Practical Approach to Data-Driven Analysis, Explainability, and Causality

Machine Learning Methods in the Environmental Sciences

Machine Learning Methods in the Environmental Sciences (Hardcover)

Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels

Machine Learning Applications in Water and Energy Ecosystems (Hardcover)

Machine Learning Methods in the Environmental Sciences

Machine Learning for Spatial Environmental Data: Theory, Applications, and Software

Machine Learning and Data Mining Approaches to Climate Science: Proceedings of the 4th International Workshop on Climate (Hardcover)

Essentials of Environmental Engineering

Machine Learning Techniques for Space Weather

introduction to environmental engineering and science

Harnessing Machine Learning for Environmental Restoration and Surveillance

Application of Machine Learning Models in Agricultural and Meteorological Sciences

Artificial Intelligence for Sustainable Applications

Machine Learning and Artificial Intelligence: A comprehensive approach

Fundamentals of Machine Learning

environmental engineering science

Advances in Remediation Techniques for Polluted Soils and Groundwater

Environmental Engineering and Computer Application: Proceedings of the 2014 International Conference on Environmental Engineering and Computer Applica

Introduction to Environmental Engineering