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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...

A Survey on Data-Driven Predictive Maintenance for the Railway Industry.

Sensors (Basel, Switzerland)
In the last few years, many works have addressed Predictive Maintenance (PdM) by the use of Machine Learning (ML) and Deep Learning (DL) solutions, especially the latter. The monitoring and logging of industrial equipment events, like temporal behavi...

The Impact of the Integrated Development of AI and Energy Industry on Regional Energy Industry: A Case of China.

International journal of environmental research and public health
With the advent of the Energy 4.0 era, the adoption of "Internet + artificial intelligence" systems will enable the transformation and upgrading of the traditional energy industry. This will alleviate the energy and environmental problems that China ...

Artificial Intelligence for Smart Manufacturing: Methods and Applications.

Sensors (Basel, Switzerland)
The term Industry 4.0 has become increasingly pervasive in the context of industrial manufacturing and it has been considered the fourth industrial revolution (Henning [1]) [...].

Feature extraction and machine learning techniques for identifying historic urban environmental hazards: New methods to locate lost fossil fuel infrastructure in US cities.

PloS one
U.S. cities contain unknown numbers of undocumented "manufactured gas" sites, legacies of an industry that dominated energy production during the late-19th and early-20th centuries. While many of these unidentified sites likely contain significant le...

The absorption and multiplication of uncertainty in machine-learning-driven finance.

The British journal of sociology
Uncertainty about market developments and their implications characterize financial markets. Increasingly, machine learning is deployed as a tool to absorb this uncertainty and transform it into manageable risk. This article analyses machine-learning...