AIMC Topic: Industry

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Research on the development trend, evolution, and spatial local characteristics of the intelligent smart medical industry in the Yangtze River Economic Belt.

Frontiers in public health
A comprehensive survey of the development trends, trend evolution, and spatial non-equilibrium characteristics of the intelligent smart medical industry in the Yangtze River Economic Belt could provide significant policy implications for optimizing t...

Towards low-carbon development: The role of industrial robots in decarbonization in Chinese cities.

Journal of environmental management
Technological advancements have played a key role in improving energy efficiency and reducing emissions, and industrial robots are important carriers of intelligent manufacturing and industrial upgrading. Although various countries and regions are un...

Deep-Learning-Based Automatic Detection of Photovoltaic Cell Defects in Electroluminescence Images.

Sensors (Basel, Switzerland)
Photovoltaic (PV) cell defect detection has become a prominent problem in the development of the PV industry; however, the entire industry lacks effective technical means. In this paper, we propose a deep-learning-based defect detection method for ph...

Evolutionary game analysis of community elderly care service regulation in the context of "Internet +".

Frontiers in public health
BACKGROUND: As an upgraded form of the elderly care service industry, "Internet + Community Elderly Care" integrates information technology, artificial intelligence, Internet thinking, and the construction of community elderly care service mechanisms...

Equipment Identification and Localization Method Based on Improved YOLOv5s Model for Production Line.

Sensors (Basel, Switzerland)
Intelligent video surveillance based on artificial intelligence, image processing, and other advanced technologies is a hot topic of research in the upcoming era of Industry 5.0. Currently, low recognition accuracy and low location precision of devic...

A Robust Deep Learning Ensemble-Driven Model for Defect and Non-Defect Recognition and Classification Using a Weighted Averaging Sequence-Based Meta-Learning Ensembler.

Sensors (Basel, Switzerland)
The need to overcome the challenges of visual inspections conducted by domain experts drives the recent surge in visual inspection research. Typical manual industrial data analysis and inspection for defects conducted by trained personnel are expensi...

Holistic Security and Safety for Factories of the Future.

Sensors (Basel, Switzerland)
The accelerating transition of traditional industrial processes towards fully automated and intelligent manufacturing is being witnessed in almost all segments. This major adoption of enhanced technology and digitization processes has been originally...

The Impact of SO Emissions Trading Scheme on Firm's Environmental Performance: A Channel from Robot Application.

International journal of environmental research and public health
Improving the environmental performance of enterprises is the key to achieving the goal of energy conservation, emission reduction and green development. This paper investigates the causal impact on the firm's environmental performance of China's SO ...

Fog-Assisted Deep-Learning-Empowered Intrusion Detection System for RPL-Based Resource-Constrained Smart Industries.

Sensors (Basel, Switzerland)
The Internet of Things (IoT) is a prominent and advanced network communication technology that has familiarized the world with smart industries. The conveniently acquirable nature of IoT makes it susceptible to a diversified range of potential securi...

Fault Early Warning Model for High-Speed Railway Train Based on Feature Contribution and Causal Inference.

Sensors (Basel, Switzerland)
The demands for model accuracy and computing efficiency in fault warning scenarios are increasing as high-speed railway train technology continues to advance. The black box model is difficult to interpret, making it impossible for this technology to ...