La bibliothèque numérique des universités publiques du Sénégal

Artificial Intelligence and Data Science in Environmental Sensing

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Auteur(s): Asadnia, Mohsen

Razmjou, Amir

Beheshti, Amin

Editeur: Elsevier Science

Année de Publication: 2022

pages: 450

ISBN: 978-0-323-90508-4

eISBN: 978-0-323-90507-7

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
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.
  • Presents tools, connections and proactive solutions to take sustainability programs to the next level
  • Offers a practical guide for making students proficient in modern electronic data analysis and graphics
  • Provides knowledge and background to develop specific platforms related to environmental sensing, including control water, air and soil quality, water and wastewater treatment, desalination, pollution mitigation/control, and resource management and recovery

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