AIMC Topic: Industry

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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...

Possible Applications of Edge Computing in the Manufacturing Industry-Systematic Literature Review.

Sensors (Basel, Switzerland)
This article presents the results of research with the main goal of identifying possible applications of edge computing (EC) in industry. This study used the methodology of systematic literature review and text mining analysis. The main findings show...

Promoting Regional Economic Transformation Forecast Based on Intelligent Computing Technology.

Computational intelligence and neuroscience
The core of the value of artificial intelligence is to integrate with the real economy and become more dependent on local industries. In the entire artificial intelligence + industry development process, many new changes have appeared. This article m...

Research on Human Behavior Modeling of Sports Culture Communication in Industrial 4.0 Intelligent Management.

Computational intelligence and neuroscience
With the advent of the information age, Internet technology and computer technology are gradually applied in various fields. Human daily life is inseparable from the help of information technology. The progress and development of the times are also c...

Analysis of factors affecting the implementation of green human resource management using a hybrid fuzzy AHP and type-2 fuzzy DEMATEL approach.

Environmental science and pollution research international
The topic of green human resource management has attracted considerable attention during this last decade. Despite this interest, little research has been conducted to explore the successful implementation of green human resource management to achiev...

Hybrid Virtual Commissioning of a Robotic Manipulator with Machine Vision Using a Single Controller.

Sensors (Basel, Switzerland)
Digital twin (DT) is an emerging key technology that enables sophisticated interaction between physical objects and their virtual replicas, with applications in almost all engineering fields. Although it has recently gained significant attraction in ...