Authors of papers presented at this conference and within the scope of Soft Computing may submit a technically extended version to the Special Issue AI and Knowledge Graphs in Smart Industry and Health Applications.
In an era of unceasing digital transformation, the role of Artificial Intelligence (AI) and Knowledge Graphs (KG) in revolutionizing industries worldwide is indisputable. This special issue aims to explore the leading-edge developments, applications, and future potential of these synergistic technologies in the landscape of smart industry, or Industry 4.0, as well as the integration of AI and optimization techniques, which is still an underexplored field that holds significant potential for various applications.
The advent of AI has redefined the operational capacities of various industries, including manufacturing, logistics, healthcare, energy, and agriculture. Simultaneously, knowledge graphs are emerging as a promising tool to interlink and interpret complex industrial data, fostering intelligent decision-making and automation. This special issue serves as a platform to delve into the extensive applications of AI and KG in smart industries, creating a dialog between academia, industry, and policy-makers, and highlighting the opportunities and challenges involved.
The proposed topics for this special issue include, but are not limited to:
- AI and KG in advanced manufacturing and automation.
- AI and Optimization techniques.
- AI-driven predictive maintenance with the aid of KG.
- Role of KG in AI-based supply chain and logistics management.
- AI and KG in energy efficiency and smart grid management.
- Ai and KG for Enhanced Healthcare Decision Support and Patient Care.
- Use of AI and KG in enhancing cybersecurity in industrial applications.
- Case studies showcasing the successful implementation of AI and KG in different industry sectors.
KEYWORDS
Artificial Intelligence, Knowledge Graphs, Smart Industry, Industry 4.0, Automation, Supply Chain Management, Logistics, Smart Grid Management, Energy Efficiency, Cybersecurity, Industrial Applications, Data Interpretation, Intelligent Decision-making, Industrial Data Management, Digital Transformation, Interlinked Data, AI-Driven Innovation, Knowledge Graph-Based Analytics, Digital Innovation in Industry.
ABOUT THE JOURNAL
Soft Computing is dedicated to system solutions based on soft computing techniques. It provides rapid dissemination of important results in soft computing technologies, a fusion of research in evolutionary algorithms and genetic programming, neural science and neural net systems, fuzzy set theory and fuzzy systems, and chaos theory and chaotic systems.
Indexed by Science Citation Index, Inspec, Compendex, DBLP, Computer Science Index, Current Abstracts, Current Contents, EBSCO host, IngentConnect, MetaPress, Springerlink, OCLC, SCOPUS, Ulrich´s, Zentralblatt Math.
SPECIAL ISSUE GUEST EDITORS
Antonio Maria Rinaldi, University of Naples Federico II, Italy
Kurosh Madani, University of Paris-Est Creteil, France
Cristiano Russo, University of Naples Federico II, Italy
Cristian Tommasino, University of Naples Federico II, Italy
