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How does artificial intelligence affect green economic growth?-Evidence from China.

The Science of the total environment
As the driving force behind the new wave of technological advancement, artificial intelligence (AI) paves the way for a new era of green economic growth. This paper uses the case of China and constructs a relevant mathematical model to propose the tw...

Anomaly Detection Using Autoencoder Reconstruction upon Industrial Motors.

Sensors (Basel, Switzerland)
Rotary machine breakdown detection systems are outdated and dependent upon routine testing to discover faults. This is costly and often reactive in nature. Real-time monitoring offers a solution for detecting faults without the need for manual observ...

A Convolutional Neural Network-Based Model for Supply Chain Financial Risk Early Warning.

Computational intelligence and neuroscience
At present, there are widespread financing difficulties in China's trade circulation industry. Supply chain finance can provide financing for small- and medium-sized enterprises in China's trade circulation industry, but it will produce financing ris...

Assessment of Pain Onset and Maximum Bearable Pain Thresholds in Physical Contact Situations.

Sensors (Basel, Switzerland)
With the development of robot technology, robot utilization is expanding in industrial fields and everyday life. To employ robots in various fields wherein humans and robots share the same space, human safety must be guaranteed in the event of a huma...

Clustering at the Disposal of Industry 4.0: Automatic Extraction of Plant Behaviors.

Sensors (Basel, Switzerland)
For two centuries, the industrial sector has never stopped evolving. Since the dawn of the Fourth Industrial Revolution, commonly known as Industry 4.0, deep and accurate understandings of systems have become essential for real-time monitoring, predi...

Analysis of the Challenges of Artificial Intelligence of Things (AIoT) for the Smart Supply Chain (Case Study: FMCG Industries).

Sensors (Basel, Switzerland)
In today's competitive world, supply chain management is one of the fundamental issues facing businesses that affects all an organization's activities to produce products and provide services needed by customers. The technological revolution in suppl...

Detecting Faults at the Edge via Sensor Data Fusion Echo State Networks.

Sensors (Basel, Switzerland)
The pervasive use of sensors and actuators in the Industry 4.0 paradigm has changed the way we interact with industrial systems. In such a context, modern frameworks are not only limited to the system telemetry but also include the detection of poten...

Evaluation of market risk and resource allocation ability of green credit business by deep learning under internet of things.

PloS one
The research expects to evaluate the capital market risk and resource allocation ability of green credit business exploration based on neural network algorithm by deep learning in the context of the Internet of things, increase the funds flowing to g...

Augmented Reality for Human-Robot Collaboration and Cooperation in Industrial Applications: A Systematic Literature Review.

Sensors (Basel, Switzerland)
With the continuously growing usage of collaborative robots in industry, the need for achieving a seamless human-robot interaction has also increased, considering that it is a key factor towards reaching a more flexible, effective, and efficient prod...

Machine Learning in Injection Molding: An Industry 4.0 Method of Quality Prediction.

Sensors (Basel, Switzerland)
One of the essential requirements of injection molding is to ensure the stable quality of the parts produced. However, numerous processing conditions, which are often interrelated in quite a complex way, make this challenging. Machine learning (ML) a...