Artificial Intelligence and GIS for Environmental Engineering Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Environmental Sciences".
Deadline for manuscript submissions: closed (10 November 2021) | Viewed by 1820
Special Issue Editors
Interests: waste management; environmental management; waste to energy; renewable energy; circular economy; waste and wastewater processing technologies; control systems; artificial intelligence; machine learning; soft sensors; expert systems; big data; intelligent data analysis
Special Issues, Collections and Topics in MDPI journals
Interests: waste management; recycling; reuse; recovery; materials from waste; circular economy; sustainable development
Special Issues, Collections and Topics in MDPI journals
Interests: green deal strategies; circular economy; raw materials; water and wastewater; nutrients; roadmaps; policy recommendations; indicators; life cycle assessment (LCA); sustainable development goals
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The dynamic development of ICT systems and industrial automation determines economic development in all strategic sectors of the global economy, as well as the development of cities and intelligent technologies. The most important element of advanced ICT systems used in many sectors of environmental engineering is the integration of GIS, SCADA systems supported with AI, and advanced methods of machine learning or multi-agent systems.
New technological and scientific challenges confronting teams of scientists and engineers in many areas of waste management, water and sewage management, circular economy, and power generation based on renewable sources, as well as priority actions dedicated to the counteraction and adaptation to climate change, enforce the search for innovative solutions in the fields of AI, machine learning, GIS, and deep learning, which support the strategic decision-making process faced by the economy.
The novelty of IT technologies developed in the world involves the use of intelligent tools (based on AI, GIS, and machine learning) that support decision-making processes during the control of complex technological processes and distributed network objects (smart water grids, smart sewage systems, and smart waste management systems) and solve the problem of optimal control for intelligent dynamic objects with a logical representation of knowledge about the process (control object and control system), for which the learning process consists of validation, updating of knowledge, and applying the results of this updating in succession to determine control decisions.
This Special Issue provides an international forum for the publication of work describing the practical applications of AI, machine learning methods, and deep learning techniques used in GIS in all branches of environmental engineering. The submitted papers should be original research contributions and report some novel aspects of AI used for real-world engineering applications.
Prof. Dr. Krzysztof Gaska
Prof. Dr. Agnieszka Generowicz
Prof. Dr. Marzena Smol
Guest Editors
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Keywords
- artificial intelligence
- machine learning
- expert systems
- agent-based models of geographical systems
- geographic information system (GIS)
- waste management
- sewage system
- water distribution system
- adaptation to climate change
- circular economy
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