Domain-Integrated Machine Learning for Industrial Data Analytics
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: 15 July 2024 | Viewed by 128
Special Issue Editors
Interests: hardware security; IC analysis; machine learning
Interests: asynchronous circuits; physical hardware attack; hardware assurance; hardware security; machine learning; image processing; class-D amplifiers
Special Issue Information
Dear Colleagues,
Over the past several years, machine learning techniques, together with advancements in data acquisition and analytic tools, have gained much popularity in analyzing industrial data for various fields. While machine learning techniques can be utilized as off-the-shelf solutions across domains, it is still highly preferable and beneficial to integrate domain-specific knowledge into efforts to derive machine learning-based solutions for industrial data analytics. This Special Issue aims to bring together cutting-edge research that explores the synergy between machine learning and domain expertise in order to address challenges in data analytics for various industrial applications.
Topics of interest for this Special Issue include, but are not limited to:
- Industrial data acquisition
- Multi-modality information fusion
- Multimedia data analysis
- Machine learning algorithms
- Deep learning and neural networks
- Domain-integrated machine learning
- Expert systems
Dr. Deruo Cheng
Dr. Bah-Hwee Gwee
Guest Editors
Manuscript Submission Information
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Keywords
- data mining
- machine learning
- knowledge discovery and representation
- semantic technologies
- natural language processing
