AIMC Topic: Industry

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Decoding the AI carbon reduction code: Improving corporate carbon performance from the perspective of industry chain spillovers.

Journal of environmental management
Artificial intelligence (AI) technologies serve as a critical instrument in advancing China's dual climate objectives of carbon emissions peaking and carbon neutrality. This study investigates the mechanisms through which AI adoption influences corpo...

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

Neural networks : the official journal of the International Neural Network Society
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...

Data-Driven Optimization of Industrial Impact Polypropylene Characterization: Machine Learning Insights.

Journal of chemical information and modeling
The experimental determination of impact polypropylene (ICP) physical properties, such as tensile modulus, flexural modulus, and impact strength, is a time-sensitive process that can delay real-time decision making during industrial production. This ...

Industrial Robotics and the Future of Work.

American journal of industrial medicine
Starting in the 1970s with robots that were physically isolated from contact with their human co-workers, robots now collaborate with human workers towards a common task goal in a shared workspace. This type of robotic device represents a new era of ...

The impact of industrial robot on green total factor energy efficiency under the "resource curse" perspective: Evidence from cities in China.

Journal of environmental management
The extensive adoption of industrial robotics across China has sparked significant interest in whether their deployment can effectively drive the transition towards more sustainable urban energy consumption patterns. This paper examines whether the i...

Context-aware data augmentation for enhanced speech command recognition in industrial environments.

Scientific reports
In Human-Robot Interaction, speech is one of the most intuitive and effective communication channel. In Industry 4.0, speech-based communication can significantly enhance productivity and efficiency on production lines. However, deploying a Speech Co...

Comparative analysis of GAN-based fusion deep neural models for fake face detection.

Mathematical biosciences and engineering : MBE
Fake face identity is a serious, potentially fatal issue that affects every industry from the banking and finance industry to the military and mission-critical applications. This is where the proposed system offers artificial intelligence (AI)-based ...

Chatbots and Large Language Models in Radiology: A Practical Primer for Clinical and Research Applications.

Radiology
Although chatbots have existed for decades, the emergence of transformer-based large language models (LLMs) has captivated the world through the most recent wave of artificial intelligence chatbots, including ChatGPT. Transformers are a type of neura...

Alternative methods go green! Green toxicology as a sustainable approach for assessing chemical safety and designing safer chemicals.

ALTEX
Green toxicology is marching chemistry into the 21st century. This emerging framework will transform how chemical safety is evaluated by incorporating evaluation of the hazards, exposures, and risks associated with chemicals into early product develo...