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Artificial Intelligence and Digital Technology
This special issue belongs to the section “Computing and Artificial Intelligence“.
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) “the theory and development of computer systems able to perform tasks normally requiring human intelligence” has been used in transportation, entertainment, sports, education, banking, and healthcare for quite some time now and has facilitated in the automation and has enhanced the quality in the above mentioned fields. In parallel, new Digital Technologies (DT) are supporting the raising living standards and increasing the labour productivity in industries, healthcare, education, and agriculture. For example, DT can increase productivity by reducing machine downtime. However, the outcomes of digitalization depends on how DTs are governed.
AI and DTs are linked together and working in tendam to create new opportunities, improve the existing technologies/services, and fulfill the emerging needs. AI powered systems can better respond to new information or unexpected changes compared to standard automated systems. AI powered systems can predict maintenance needs, work more quickly, precisely, and consistently. Digital Transformation (DX) is an important initiative many organizations have undertaken the transformation. However, AI is the key towards DX while efficiently and intelligently utilizing DTs in any organization. DT supporting DX can better be achieved with proper implementation and utilization of AI. Research work supporting the above topics are the focus of this Special Issue to extend the research and development work in the field of Machine Learning, Deep Learning, Data Science, Artificial Intelligance, Digital Technologies, and Digital Transformation.
This Special Issue will accept high-quality original research papers and review papers in the overlapping fields of:
- Artificial Intelligence and Digital Technologies
- AI in Digital Transformation
- DT in Digital Transformation
- AI and DT in Health Informatics
- AI and DT in Entertainment, Sports, Banking, Telecommunication, Transportation, and Education
- AI, Data Science, and Computational Intelligence
- AI, Machine Learning, and Deep Learning
- AI, Machine Learning, and Deep Learning Applications
- AI, Ontologies, and Semantics
- AI and DT in/for Interoperability
- AI and DT in Blackchain
Dr. Asad Masood Khattak
Dr. Wajahat Ali Khan
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-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.
Keywords
- artificial intelligence
- digital technology
- digital transformation
- machine/deep learning
- data science
- health informatics
- semantics
- recommender systems
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