AIMC Topic: Commerce

Clear Filters Showing 91 to 100 of 219 articles

Air pollution, water pollution, and robots: Is technology the panacea.

Journal of environmental management
The degradation of the ecological environment caused by industrialization presents a major challenge for policymakers as they aim to develop sustainability. Is there a way to balance industrial growth and environmental sustainability? To answer this ...

Smartwatch Sensors with Deep Learning to Predict the Purchase Intentions of Online Shoppers.

Sensors (Basel, Switzerland)
In the past decade, the scale of e-commerce has continued to grow. With the outbreak of the COVID-19 epidemic, brick-and-mortar businesses have been actively developing online channels where precision marketing has become the focus. This study propos...

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...

A novel two-phase group decision-making model for circular supplier selection under picture fuzzy environment.

Environmental science and pollution research international
Circular supply chain management (CSCM), which incorporates circular thinking into supply chain management, promotes supply chain sustainability by offering a novel and compelling viewpoint. In the CSCM, supplier selection is crucial in establishing ...

Exploring Machine Learning-Based Fault Monitoring for Polymer-Based Additive Manufacturing: Challenges and Opportunities.

Sensors (Basel, Switzerland)
Three-dimensional printing, often known as additive manufacturing (AM), is a groundbreaking technique that enables rapid prototyping. Monitoring AM delivers benefits, as monitoring print quality can prevent waste and excess material costs. Machine le...

Audit lead selection and yield prediction from historical tax data using artificial neural networks.

PloS one
Tax audits are a crucial process adopted in all tax departments to ensure tax compliance and fairness. Traditionally, tax audit leads have been selected based on empirical rules and randomization methods, which are not adaptive, may miss major cases ...

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...

Computational Intelligence Based Recurrent Neural Network for Identification Deceptive Review in the E-Commerce Domain.

Computational intelligence and neuroscience
Most consumers depend on online reviews posted on e-commerce websites when determining whether or not to buy a service or a product. Moreover, due to the presence of fraudulent (deceptive) reviews, the fundamental problem in such reviews is not fully...

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...

Fast Explainable Recommendation Model by Combining Fine-Grained Sentiment in Review Data.

Computational intelligence and neuroscience
With the rapid development of e-commerce, recommendation system has become one of the main tools that assists users in decision-making, enhances user's experience, and creates economic value. Since it is difficult to explain the implicit features gen...