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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 ...

Refinery 4.0, a Review of the Main Challenges of the Industry 4.0 Paradigm in Oil & Gas Downstream.

Sensors (Basel, Switzerland)
Industry 4.0 concept has become a worldwide revolution that has been mainly led by the manufacturing sector. Continuous Process Industry is part of this global trend where there are aspects of the "fourth industrial revolution" that must be adapted t...

Applied Machine Learning for IIoT and Smart Production-Methods to Improve Production Quality, Safety and Sustainability.

Sensors (Basel, Switzerland)
Industrial IoT (IIoT) has revolutionized production by making data available to stakeholders at many levels much faster, with much greater granularity than ever before. When it comes to smart production, the aim of analyzing the collected data is usu...

Deep Learning Anomaly Classification Using Multi-Attention Residual Blocks for Industrial Control Systems.

Sensors (Basel, Switzerland)
This paper proposes a novel method monitoring network packets to classify anomalies in industrial control systems (ICSs). The proposed method combines different mechanisms. It is flow-based as it obtains new features through aggregating packets of th...

Intelligent Manufacturing and Carbon Emissions Reduction: Evidence from the Use of Industrial Robots in China.

International journal of environmental research and public health
Driven by the information technology revolution, using artificial intelligence to promote intelligent manufacturing while achieving carbon emissions reduction is increasingly the focus of international attention. Given this, based on the fact that Ch...

DINI: data imputation using neural inversion for edge applications.

Scientific reports
The edge computing paradigm has recently drawn significant attention from industry and academia. Due to the advantages in quality-of-service metrics, namely, latency, bandwidth, energy efficiency, privacy, and security, deploying artificial intellige...

Unleashing the mechanism among environmental regulation, artificial intelligence, and global value chain leaps: a roadmap toward digital revolution and environmental sustainability.

Environmental science and pollution research international
Strengthening environmental regulation and adhering to the green as well as sustainable development of China's manufacturing industry has become an inevitable trend. Technological innovation leads to industrial transformation, and artificial intellig...