Applications of Data Science and Artificial Intelligence
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 December 2024 | Viewed by 13867
Special Issue Editors
Interests: data science; data science and management; machine learning in finance; gamification; information systems
Special Issues, Collections and Topics in MDPI journals
Interests: data science; artificial intelligence; information systems; e-learning; digital transformation; gamification; e-commerce
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Significant advances in artificial intelligence (AI) have led to new challenges and opportunities in the field. Data science is a rapidly growing area of study and professional discipline. It is thus critical to investigate this new reality from a social and corporate standpoint. Abundant information about data science and AI and how they may be used to solve economic and societal problems exists. However, in order to realize the widespread use of data science and AI in business and everyday life, their efficacy must be objectively assessed. This Special Issue aims to gather contributions from academics investigating a variety of subjects and viewpoints, including AI-related management, social sciences, and engineering. Given the present level of AI and data science, three forms are of particular interest: machine learning, natural language processing, and robotics. Submissions considering other relevant topics will also be considered.
Dr. Carlos J. Costa
Dr. Manuela Aparicio
Guest Editors
Manuscript Submission Information
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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.
Keywords
- data science applications
- AI applications
- machine learning applications
- NLP applications
- AI trends
- data science trends
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