Artificial Intelligence Technologies and Applications
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (31 July 2023) | Viewed by 114987
Special Issue Editors
Interests: computer vision; digital forensics; information hiding; image and signal processing; data compression; information security; computer network; deep learning; bioinformatics
Special Issues, Collections and Topics in MDPI journals
Interests: machine learning; artificial intelligence; learning-driven computing continuum and distributed systems
Special Issues, Collections and Topics in MDPI journals
Interests: data compression; image processing; deep learning
Special Issue Information
Dear Colleagues,
Artificial intelligence (AI) is reshaping the global scenario and redefining the development of new technologies, applications, policies, and service demands. The primary goal of AI is to perform tasks intelligently through continuous learning by acquiring reasoning or knowledge from past experiences. This problem-solving strategy is needed in many fields, both currently and in the future, to minimize human intervention. The AI is categorized into strong AI, applied AI, and cognitive AI. Strong AI is usually used for a machine to think and process the decisions by itself. Applied AI generally processes information to make smart systems that behave like an expert. Cognitive AI is more powerful than the above two categories; it thinks and acts like a human.
For a decade, AI has been applied in every field, including natural language processing, computer vision, industry, robotics, ubiquitous data analytics, cloud computing, Internet of things, security, medical image analysis, etc. AI-driven technology will likely continue to improve efficiency and productivity and expand into even more industries over time. Nevertheless, the general public is worried that the opportunities of humans are minimized due to AI, and some of them have unrealistic expectations about the changes happening in the real-world application of AI. It is essential to show how AI-driven technologies and applications can improve human life through intelligent and innovative technologies. It is also necessary to develop human–AI collaboration to enhance technologies more efficiently.
This Special Issue will delve into mutually dependent subfields including, but not limited to, machine learning, computer vision, natural language processing, deep learning, wireless sensor networks, blockchain technology, cryptography, big data, social networks, Internet of things, image processing, etc. Accepted papers will build a comprehensive collection of research and development trends on contemporary “Artificial Intelligence Technologies and Applications” that will serve as a convenient reference for AI experts and newly arrived practitioners, introducing them to the field’s trends.
Prof. Dr. Yu-Chen Hu
Dr. Praveen Kumar Donta
Prof. Dr. Piyush Kumar Pareek
Prof. Dr. Chinmaya Kumar Dehury
Guest Editors
Manuscript Submission Information
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Keywords
- explainable artificial intelligence
- big data analytics
- social network analysis
- bioinformatics
- medical image analytics
- Internet of things
- machine learning
- cloud computing
- cognitive science
- blockchain technology
- wireless sensor networks
- data science
- privacy and security
- computer vision
- augmented/virtual/mixed reality
- decision support systems
- distributed systems
- computer networks
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