ARTIFICIAL INTELLIGENCE AND MODELING FOR WATER SUSTAINABILITY GLOBAL CHALLENGES (HB 2023) Hardcover

Artificial intelligence and computational techniques are increasingly being used to efficiently analyze data related to water quality, enabling faster and more accurate detection of pollutants. Smart sensors combined with machine learning models can track the spread and leakage of contaminants before they infiltrate groundwater sources. This book, featuring contributions from academic and industry experts, offers a cohesive overview of AI applications in water science. It supports governments, industries, and homeowners in tackling water pollution challenges more effectively while also providing valuable insights for implementing improved and timely remediation strategies.