AIMC Topic: Commerce

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A Novel System to Increase Yield of Manufacturing Test of an RF Transceiver through Application of Machine Learning.

Sensors (Basel, Switzerland)
Electronic manufacturing and design companies maintain test sites for a range of products. These products are designed according to the end-user requirements. The end user requirement, then, determines which of the proof of design and manufacturing t...

Anomaly Detection and Inter-Sensor Transfer Learning on Smart Manufacturing Datasets.

Sensors (Basel, Switzerland)
Smart manufacturing systems are considered the next generation of manufacturing applications. One important goal of the smart manufacturing system is to rapidly detect and anticipate failures to reduce maintenance cost and minimize machine downtime. ...

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...