About the Book:
Artificial Intelligence and Data Science in Environmental Sensing provides state-of-the-art information on the inexpensive mass-produced sensors that are used as inputs to artificial intelligence systems. The book discusses the advances of AI and Machine Learning technologies in material design for environmental areas. It is an excellent resource for researchers and professionals who work in the field of data processing, artificial intelligence sensors and environmental applications.
Table of Contents
Smart sensing technologies for wastewater treatment plantsAdvancements and artificial intelligence approaches in antennas for environmental sensingIntelligent geo-sensing for moving toward smart, resilient, low emission, and less carbon transportLanguage of response surface methodology as an experimental strategy for electrochemical wastewater treatment process optimizationArtificial intelligence and sustainability: solutions to social and environmental challengesApplication of multi-criteria decision-making tools for a site analysis of offshore wind turbinesRecent advances of image processing techniques in agricultureTuning swarm behavior for environmental sensing tasks represented as coverage problemsMachine learning applications for developing sustainable construction materialsThe AI-assisted removal and sensor-based detection of contaminants in the aquatic environmentRecent progress in biosensors for wastewater monitoring and surveillanceMachine learning in surface plasmon resonance for environmental monitoring
