Recently, a number of smart technologies including non-contact virtual reality (VR), augmented reality (AR), and technology for sustainability have been emphasized. They have shown a wide range of variations and uncertainties with applying methods such as smart device development, modelling, statistical curve fitting, and machine learning prediction dependent on data-driven and frequently updated data inputs.

Instrumental developments specialized for non-contact, such as authentication, RFID instruments, remote controllers, automation technology, and robotics show much promise for the future. With extending control and management, developing effective policies for management algorithms will also guarantee a safer community and society. Shared research outcomes could overcome the limitations by refining technological, health, and policy aspects. There is growing evidence for the role of the machine learning approach in improving the accuracy, performance, and applications of this technology. The research outcomes could be complemented by other research areas such as engineering, public health, and social networking guidelines extending to smart processing.

In this Special Issue, we aim to share ideas on mathematical modelling and research findings from technology itself to the sustainable management of community and society. The Special Issue aims to provide a timely opportunity to discuss and summarize the latest developments in this area. We will emphasize hardware/software for smart device development (non-contact devices) and smart conveying system development (management and policy effective viewpoint). We welcome research articles on theoretical methodology and hardware implementation, especially for real data applications. Review articles are also welcome.

Potential topics include but are not limited to the following:

• Non-contact technology in industrial processing
• RFID control technique and access problem
• Personal information protection in authentication processing
• Deep learning applications to human space networks for public health
• Administration and policy determination in non-contact systems
• Efficient social management and public health support with technology
• Bio-inspired algorithm application to Smart Cities