Special Issue "Hybrid Artificial Intelligence for Industry 5.0 Applications and Challenges"

Submission Deadline: 16 August 2021
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Guest Editors
Dr. Dac-Nhuong Le, Haiphong University, Vietnam.
Dr. Surjeet Dalal, SRM University Delhi-NCR, India.
Dr. Borko Furht, Florida Atlantic University, USA.


The term Industry 5.0 refers to people working alongside robots and smart machines. It’s about robots helping humans work better and faster by leveraging advanced technologies like the Internet of Things (IoT) and big data. It adds a personal human touch to the Industry 4.0 pillars of automation and efficiency. In manufacturing environments, robots have historically performed dangerous, monotonous or physically demanding work, such as welding and painting in car factories and loading and unloading heavy materials in warehouses. As machines in the workplace get smarter and more connected, Industry 5.0 is aimed at merging those cognitive computing capabilities with human intelligence and resourcefulness in collaborative operations The objective of Industry 4.0 is to interconnect machines, processes and systems for maximum performance optimization Industry 5.0 takes such efficiency and productivity a step further. It’s about refining the collaborative interactions between humans and machines. Hence, there is a demand to further explore the abundant applications of these AI technologies to improve/enhance the quality of manufacturing, supply chain management, Industry 5.0. Thus, the special issue is to provide a platform for discussions on novel, scientific, technological insights, principles, algorithms, and experiences in such papers (as below) but not limited:


•Fusion of soft computing and hard computing in Industry 5.0

•Evolutionary Computation used for Industry 5.0

•Optimization Techniques used for Industry 5.0

•Ensemble Techniques applied in Industry 5.0

•Data mining and decision support systems designed for Industry 5.0

•Big Data modeling and visualization

•Intelligent agent-based systems

•Cognitive and Reactive distributed AI systems

•Deep Learning

•IoT and Intelligent Cloud/Fog Computing

•Intelligent Sensors

•Intelligent Time Series processing

•Significant cuts in unplanned downtime to better-designed products;

•Novel AI-based analytics on data to improve efficiency, product quality and the safety of employees;

•Data-driven innovations for demand planning and logistics management;

•AI-based and green-based supply chains;

•Applications of IoT for tracking production across entire processes and supply chain;

•Advances AI technologies in enhancing Industry 5.0 and the connectivity of any components for smart cities;

•Hybrid meta-heuristic algorithms with AI technologies in enhancing Industry 5.0 and the connectivity of any components for smart cities;

•Intelligent solutions for future smart industries;

•Internet of things (IoT) in industry 50;

•Cloud and data analytics in industry 5.0 for effective analysis of industrial data;

•Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart cities.

Industry 5.0, Hybrid AI, Internet of things, computational intelligence, artificial intelligence, bio-Inspired optimization, evolution algorithms, meta-heuristic algorithms, machine learning, Decision support system