AIMC Topic: Industry

Clear Filters Showing 161 to 170 of 236 articles

Smart Medical Prediction for Guidance: A Mechanism Study of Machine Learning.

Journal of healthcare engineering
Data analysis and prediction have gradually attracted more and more attention in the smart healthcare industry. The smart medical prediction system is of great importance to the enterprise strategy and business development, and it is also of great va...

Deep Learning for the Industrial Internet of Things (IIoT): A Comprehensive Survey of Techniques, Implementation Frameworks, Potential Applications, and Future Directions.

Sensors (Basel, Switzerland)
The Industrial Internet of Things (IIoT) refers to the use of smart sensors, actuators, fast communication protocols, and efficient cybersecurity mechanisms to improve industrial processes and applications. In large industrial networks, smart devices...

Prediction-Correction Techniques to Support Sensor Interoperability in Industry 4.0 Systems.

Sensors (Basel, Switzerland)
Industry 4.0 is envisioned to transform the entire economical ecosystem by the inclusion of new paradigms, such as cyber-physical systems or artificial intelligence, into the production systems and solutions. One of the main benefits of this revoluti...

A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics.

Sensors (Basel, Switzerland)
Digital twin (DT) and artificial intelligence (AI) technologies have grown rapidly in recent years and are considered by both academia and industry to be key enablers for Industry 4.0. As a digital replica of a physical entity, the basis of DT is the...

Evaluation of green lean production in textile industry: a hybrid fuzzy decision-making framework.

Environmental science and pollution research international
Textile industry is an old and effective industry in Iran. However, due to its age and high energy consumption, this industry has low profitability and entrepreneurship. One of the most important problems of the weaving industry is the issue of waste...

A Systematic Approach for Evaluating Artificial Intelligence Models in Industrial Settings.

Sensors (Basel, Switzerland)
Artificial Intelligence (AI) is one of the hottest topics in our society, especially when it comes to solving data-analysis problems. Industry are conducting their digital shifts, and AI is becoming a cornerstone technology for making decisions out o...

State Evaluation Method of Robot Lubricating Oil Based on Support Vector Regression.

Computational intelligence and neuroscience
Recently, the development of the Industrial Internet of Things (IIoT) has led enterprises to re-examine the research of the equipment-state-prediction models and intelligent manufacturing applications. Take industrial robots as typical example. Under...

Construction of Community Life Service in the Sharing Economy Based on Deep Neural Network.

Computational intelligence and neuroscience
Currently, the development of sharing economy and interconnection also has a profound impact on community life services. This study is based on the deep neural network theory, combined with the evolution mechanism of the commercial network of the com...

Programming Robots by Demonstration Using Augmented Reality.

Sensors (Basel, Switzerland)
The world is living the fourth industrial revolution, marked by the increasing intelligence and automation of manufacturing systems. Nevertheless, there are types of tasks that are too complex or too expensive to be fully automated, it would be more ...

Performance Evaluation of Enterprise Supply Chain Management Based on the Discrete Hopfield Neural Network.

Computational intelligence and neuroscience
In order to make up for the shortcomings of current performance evaluation methods, this paper proposes a new method of enterprise performance evaluation, discusses the construction principle of the evaluation index, and proposes a method of enterpri...