AIMC Topic: Commerce

Clear Filters Showing 71 to 80 of 219 articles

Research on cloud manufacturing service recommendation based on graph neural network.

PloS one
There are an increasing number of manufacturing service resources appeared on the cloud manufacturing (CMfg) service platform recently, which leads to a serious information overloading problem to the enterprises that need these resources. To tackle t...

Artificial dragonfly algorithm in the Hopfield neural network for optimal Exact Boolean k satisfiability representation.

PloS one
This study proposes a novel hybrid computational approach that integrates the artificial dragonfly algorithm (ADA) with the Hopfield neural network (HNN) to achieve an optimal representation of the Exact Boolean kSatisfiability (EBkSAT) logical rule....

In-Sensor Computing Realization Using Fully CMOS-Compatible TiN/HfO-Based Neuristor Array.

ACS sensors
With the evolution of artificial intelligence, the explosive growth of data from sensory terminals gives rise to severe energy-efficiency bottleneck issues due to cumbersome data interactions among sensory, memory, and computing modules. Heterogeneou...

How can artificial intelligence boost firms' exports? evidence from China.

PloS one
This paper explores the impact of artificial intelligence and industrial robots on firms' export behaviour and divides the impact mechanism into the productivity effect and labour substitution effect. It examines the effect of industrial robots on fi...

Exploring the relationships between attitudes toward emission trading schemes, artificial intelligence, climate entrepreneurship, and sustainable performance.

Environmental science and pollution research international
The research objective of this research paper is to examine the relationships between organizational commitment to emission trading schemes, artificial intelligence, and climate entrepreneurship, as well as their impact on sustainable performance, i....

Modeling and design of heterogeneous hierarchical bioinspired spider web structures using deep learning and additive manufacturing.

Proceedings of the National Academy of Sciences of the United States of America
Spider webs are incredible biological structures, comprising thin but strong silk filament and arranged into complex hierarchical architectures with striking mechanical properties (e.g., lightweight but high strength, achieving diverse mechanical res...

Application of Machine Learning Algorithms for Tool Condition Monitoring in Milling Chipboard Process.

Sensors (Basel, Switzerland)
In this article, we present a novel approach to tool condition monitoring in the chipboard milling process using machine learning algorithms. The presented study aims to address the challenges of detecting tool wear and predicting tool failure in rea...

Human-Robot Collaborations in Smart Manufacturing Environments: Review and Outlook.

Sensors (Basel, Switzerland)
The successful implementation of Human-Robot Collaboration (HRC) has become a prominent feature of smart manufacturing environments. Key industrial requirements, such as flexibility, efficiency, collaboration, consistency, and sustainability, present...

Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time-Frequency-Based Features and Deep Learning Models.

Sensors (Basel, Switzerland)
The milling machine serves an important role in manufacturing because of its versatility in machining. The cutting tool is a critical component of machining because it is responsible for machining accuracy and surface finishing, impacting industrial ...