Special Issue "Artificial Intelligence Computing and Applications for COVID-19"
Deadline for manuscript submissions: closed (20 April 2023) | Viewed by 26095
Interests: artificial Intelligence; computational mechanics; machine learning
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2. University Research and Innovation Center (EKIK), Óbuda University, 1034 Budapest, Hungary
Interests: data analytics; machine learning; evolutionary computation; engineering optimization
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Artificial intelligence (AI) are methods that are applied to transform the way humans will interact with machines and the role that machines will play in all spheres of human life. On one hand, the immense potential of these technologies to enhance and enrich human life has led to a growing exhilaration and excitement on their use, and on the other hand, fear and apprehension of a dystopian future where machines have taken over loom on the horizon. These techniques are considered to be a category in computer science, involved in the research and application of intelligent computers. Traditional methods for modeling and optimizing complex problems require huge amounts of computing resources, and computing-based solutions can often provide valuable alternatives for efficiently solving problems. Due to making nonlinear and complex relationships between dependent and independent variables, these techniques can be performed in the field of bioengineering with a high degree of accuracy. As such, many new intelligence models can be introduced for different applications.
The objective of this Special Issue is to disseminate research results on the prediction of COVID-19 disease and its related health care solutions. Indeed, COVID-19 has dramatically changed the way we perceive science and research, leading to enormous efforts and unprecedented rapid progress in a few months. Multidisciplinary and multi-institutional approaches are necessary to achieve this progress and move research from the bench to the bedside. Contributions from various engineering, scientific, and social settings that exploit data analytics, machine learning, data mining, and other Artificial Intelligence techniques are invited. Specifically, the focus is on the development of computational methods for the modelling, prediction, risk assessment, and severe justification of the COVID-19 pandemic phenomenon. Articles submitted to this Special Issue can also address the most significant recent soft computing, optimization algorithms, hybrid intelligent systems, and their applications in bioengineering sciences. We invite researchers to contribute original research articles and review articles that will stimulate the continuing research effort on applications of the meta-heuristic and computing techniques to assess, solve, or reveal the nature of the SARS-CoV-2.
Prof. Dr. Panagiotis G. Asteris
Prof. Dr. Amir H. Gandomi
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 2300 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
- artificial neural networks (ANNs)
- computational biology/bioinformatics
- forecasting models
- fuzzy set theory and hybrid fuzzy models
- swarm and evolutionary computation
- genetic justification of critical COVID-19
- image processing and computer vision
- machine learning techniques
- modelling and risk assessment of the COVID-19 pandemic phenomenon
- novel biomarkers/ parameters of disease severity and mortality of COVID-19 patients
- risk stratification tools for clinical evaluation and outcome of COVID-19 patients