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Chapter 1 - Smart sensing technologies for wastewater treatment plants
Reza Maleki, Ahmad Miri Jahromi, ... Mohammad Khedri
Pages 1-17 - Book chapterAbstract only
Chapter 2 - Advancements and artificial intelligence approaches in antennas for environmental sensing
Ali Lalbakhsh, Roy B.V.B. Simorangkir, ... Karu P. Esselle
Pages 19-38 - Book chapterAbstract only
Chapter 3 - Intelligent geo-sensing for moving toward smart, resilient, low emission, and less carbon transport
Omid Ghaffarpasand, Ahmad Miri Jahromi, ... Rhiannon Blake
Pages 39-55 - Book chapterAbstract only
Chapter 4 - Language of response surface methodology as an experimental strategy for electrochemical wastewater treatment process optimization
A. Yagmur Goren, Yaşar K. Recepoğlu and Alireza Khataee
Pages 57-92 - Book chapterAbstract only
Chapter 5 - Artificial intelligence and sustainability: solutions to social and environmental challenges
Firouzeh Taghikhah, Eila Erfani, ... Bavly Hanna
Pages 93-108 - Book chapterAbstract only
Chapter 6 - Application of multi-criteria decision-making tools for a site analysis of offshore wind turbines
Mohammad Yazdi, Arman Nedjati, ... Rouzbeh Abbassi
Pages 109-127 - Book chapterAbstract only
Chapter 7 - Recent advances of image processing techniques in agriculture
Helia Farhood, Ivan Bakhshayeshi, ... Amin Beheshti
Pages 129-153 - Book chapterAbstract only
Chapter 8 - Tuning swarm behavior for environmental sensing tasks represented as coverage problems
Shadi Abpeikar, Kathryn Kasmarik, ... Md Mohiuddin Khan
Pages 155-178 - Book chapterAbstract only
Chapter 9 - Machine learning applications for developing sustainable construction materials
Hossein Adel, Majid Ilchi Ghazaan and Asghar Habibnejad Korayem
Pages 179-210 - Book chapterAbstract only
Chapter 10 - The AI-assisted removal and sensor-based detection of contaminants in the aquatic environment
Sweta Modak, Hadi Mokarizadeh, ... Milad Rabbabni Esfahani
Pages 211-244 - Book chapterAbstract only
Chapter 11 - Recent progress in biosensors for wastewater monitoring and surveillance
Pratiksha Srivastava, Yamini Mittal, ... Vikram Garaniya
Pages 245-267 - Book chapterAbstract only
Chapter 12 - Machine learning in surface plasmon resonance for environmental monitoring
Masoud Mohseni-Dargah, Zahra Falahati, ... Khosro Khajeh
Pages 269-298 - Book chapterNo access
Index
Pages 299-305
About the book
Description
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.
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.
Key Features
- 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
- 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
Details
ISBN
978-0-323-90508-4
Language
English
Published
2022
Copyright
Copyright © 2022 Elsevier Inc. All rights reserved.
Imprint
Academic Press