AIMC Topic: Industry

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VKAD: A novel fault detection and isolation model for uncertainty-aware industrial processes.

Neural networks : the official journal of the International Neural Network Society May 22, 2025
Fault detection and isolation (FDI) are essential for effective monitoring of industrial processes. Modern industrial processes involve dynamic systems characterized by complex, high-dimensional nonlinearities, posing significant challenges for accur...
Industry Uncertainty Neural Networks, Computer Nonlinear Dynamics
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Exploring the drivers of digital transformation in Chinese port and shipping enterprises: A machine learning approach.

PloS one May 5, 2025
With the transition to a global green low-carbon economy, the urgency for digital transformation in the port and shipping industry has become increasingly prominent in making enterprises more efficient and sustainable. This study focuses on how Chine...
Commerce Transportation Industry Machine Learning China
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Industrial-grade collaborative robots for motor rehabilitation after stroke and spinal cord injury: a systematic narrative review.

Biomedical engineering online Apr 30, 2025
BACKGROUND: There is a growing interest in exploring industrial-grade collaborative robots (cobots) for rehabilitation. This review explores their application for motor rehabilitation of the upper and lower extremities after a stroke and spinal cord ...
Humans Industry Stroke Rehabilitation Robotics Stroke Spinal Cord Injuries
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Leveraging industry 4.0 technologies and industrial symbiosis: Advancing circular economy practices in BRICS economies.

Journal of environmental management Apr 26, 2025
In addressing the dynamics of a circular economy (CE), Industry 4.0 technologies (IN4.0T) and Industrial Symbiosis (IS) necessitate meticulous management strategies to optimize their advantageous impacts on circular practices. The present study inves...
Internet of Things Industry Economic Development Artificial Intelligence Technology
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Industrial applications of large language models.

Scientific reports Apr 21, 2025
Large language models (LLMs) are artificial intelligence (AI) based computational models designed to understand and generate human like text. With billions of training parameters, LLMs excel in identifying intricate language patterns, enabling remark...
Industry Large Language Models Humans Artificial Intelligence Natural Language Processing
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Identifying and addressing challenges in gross pollutant trap maintenance: perspectives from the Australian stormwater industry.

Marine pollution bulletin Apr 16, 2025
A common approach to removing pollution from stormwater is through the installation of gross pollutant traps (GPTs). However, GPTs are often not maintained effectively, leading to pollution accumulation and additional pollution bypassing into natural...
Water Pollution Environmental Monitoring Water Pollutants, Chemical Industry Australia
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Uncovering soil heavy metal pollution hotspots and influencing mechanisms through machine learning and spatial analysis.

Environmental pollution (Barking, Essex : 1987) Feb 21, 2025
Soil heavy metal (HM) pollution is a significant and widespread environmental issue in China, highlighting the need to quantify influencing factors and identify priority concern areas for effective prevention and management. Based on published litera...
Environmental Policy Transportation Environmental Pollution Spatial Analysis Industry Metals, Heavy Environmental Monitoring Soil Pollutants Agriculture Machine Learning Soil China
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Scalable and energy-efficient task allocation in industry 4.0: Leveraging distributed auction and IBPSO.

PloS one Jan 16, 2025
Industry 4.0 has transformed manufacturing with the integration of cutting-edge technology, posing crucial issues in the efficient task assignment to multi-tasking robots within smart factories. The paper outlines a unique method of decentralizing au...
Humans Algorithms Robotics Industry
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Deep learning based approaches for intelligent industrial machinery health management and fault diagnosis in resource-constrained environments.

Scientific reports Jan 7, 2025
Industry 4.0 represents the fourth industrial revolution, which is characterized by the incorporation of digital technologies, the Internet of Things (IoT), artificial intelligence, big data, and other advanced technologies into industrial processes....
Industry Deep Learning Internet of Things Humans Artificial Intelligence
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Achieving pollution abatement and carbon reduction synergistically: How can industrial robots play a role?

Journal of environmental management Dec 24, 2024
Intelligent manufacturing and green development are pivotal issues in China's pursuit of high-quality economic growth. As the core carrier of artificial intelligence-driven production transformations, industrial robots' role in synergizing enterprise...
Robotics Air Pollution Carbon Artificial Intelligence China Industry Sulfur Dioxide
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