Advances in Artificial Intelligence and Data Modeling: Analysis, Methods and Applications
A Special Issue of Mathematics (ISSN 2227-7390) belonging to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: 30 April 2027 | Viewed by 849
Editors
Interests: artificial intelligence; data modeling; computational intelligence
Special Issue Information
Dear Colleagues,
In recent years, Artificial Intelligence and advanced Data Modeling have emerged as pivotal forces driving innovation across science, engineering, and industry. The ability to analyze complex datasets, develop novel predictive methods, and apply these insights to real-world problems is more critical than ever.
This Special Issue, "Advances in Artificial Intelligence and Data Modeling: Analysis, Methods and Applications," aims to bring together leading researchers and practitioners to share their latest findings. We welcome high-quality, original contributions that explore the full spectrum of this field, including, but not limited to:
- Analysis: Novel theoretical frameworks for AI, deep learning, data mining, and data-driven systems.
- Methods: New algorithms for machine learning, predictive modeling, statistical learning, knowledge representation, and computational intelligence.
- Applications: Innovative and practical applications of AI and data modeling across diverse domains. Topics of interest include, but are not limited to:
- Engineering & Industry: Computer vision, natural language processing, intelligent control, autonomous systems (e.g., robotics and autonomous driving), and smart manufacturing.
- Energy & Environment: Renewable energy forecasting, smart grids, climate modeling, and environmental monitoring.
- Science & Healthcare: Bioinformatics, computational biology, medical image analysis, personalized medicine, and drug discovery.
We invite you to submit your research to this Special Issue and look forward to your valuable contributions to this dynamic and rapidly evolving field.
Prof. Dr. Chaoya Jiang
Prof. Dr. Lantao Xing
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 250 words) can be sent to the Editorial Office for assessment.
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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Mathematics 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 2600 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
- artificial intelligence
- data modeling
- machine learning
- deep learning
- data-driven methods
- AI applications
- computational intelligence
- statistical modeling
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