Artificial Intelligence Methods for Environmental Sciences or Health Applications
A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Environmental Sciences".
Deadline for manuscript submissions: 31 December 2024 | Viewed by 6091
Special Issue Editors
Interests: artificial intelligence; neural networks; genetic algorithm; echo state networks; extreme learning machines; bio-inspired computing
Special Issues, Collections and Topics in MDPI journals
Interests: numerical modeling; health risks; air pollution; atmospheric dispersion; life cycle impact assessment
Special Issues, Collections and Topics in MDPI journals
Interests: instrumentation; electronic instrumentation; biomedical instrumentation; electronic engineering; electronics circuit design; automotive experimental physics
Special Issue Information
Dear Colleagues,
In recent times, artificial intelligence methods stood out in many fields. The prominent representatives of this class are Artificial Neural Networks (deep and shallow approaches), Fuzzy Systems, and nature-inspired metaheuristics (Swarm Intelligence, Evolutionary algorithms, and physical models).
Among the different research areas, the application of AI has stood out in human health, correlating from wearable devices to environmental sciences. The ability of AI approaches to map nonlinear patterns or optimize systems can bring these sub-areas of research closer together to solve real-world problems.
In this regard, this Special Issue aims to encourage both academic and industrial researchers to present their latest findings concerning the previously cited aspects, which can significantly contribute to the achievement of new methods to develop processes or devices to improve the usage of such systems.
The authors should provide a comprehensive and scientifically sound overview of the most recent research and methodological approaches. Both experimental and methodological contributions, as well as systematic reviews, are welcome.
The Editors of this Special Issue welcome submissions that address, but are not limited to, the following issues:
- Machine learning;
- Artificial neural networks;
- Fuzzy systems;
- Nature-inspired metaheuristics;
- Convolutional neural networks;
- Deep learning;
- Feature selection;
- Clustering;
- Classification;
- Signal processing;
- Reinforced learning;
- Supervised/unsupervised learning;
- Swarm intelligence;
- Evolutionary algorithms;
- Time series forecasting (such as pollutant series);
- Pollution impact on human health;
- Health wearable devices;
- Embedded systems for healthcare;
- Pattern recognition;
- Human activity recognition.
Prof. Dr. Hugo Valadares Siqueira
Prof. Dr. Yara de Souza Tadano
Prof. Dr. Sergio Luiz Stevan, Jr.
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. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly 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 2500 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.
Keywords
- machine learning
- artificial neural networks
- signal processing
- pattern recognition
- embedded systems
- health wearable devices
- pollution
- time series forecasting
