Artificial Intelligence and GIS for Environmental Engineering Applications

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

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

• 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