The use of machine learning to identify the correctness of HS Code for the customs import declarations

As an increasing volume of international trade activities around the world, the amount of cross-boarder import declarations grows rapidly, resulting in an unprecedented scale of potentially fraudulent transactions, in particular false commodity code (e.g., HS Code). The incorrect HS Code will cause duty risk and adversely impact the revenue...

eCommerce Platforms Evaluation Framework for Government

The international trade flow of e-commerce goods have reached unprecedented volumes. Ensuring undisrupted flow of cross-border eCommerce goods has become one of the top priorities for customs administrations around the world. Customs has a role in safeguarding public values such as safety and security, revenue collection, and stimulation of the...

Developing AI into explanatory supporting models: An explanation-visualized deep learning prototype

Using Artificial Intelligence (AI) and machine learning technologies to automatically mine latent patterns from educational data holds great potential to inform teaching and learning practices. However, the current AI technology mostly works as "black box"-only the inputs and the corresponding outputs are available, which largely impedes...

A 3D separable cohesive element for modelling the coupled failure in laminated composite materials

The interaction between matrix cracks and interface delamination is a major failure mechanism in composite laminates and has been a subject of active research in recent years. Although coupled failure behaviour of composite laminates between matrix cracks and delamination has been observed in experiments, accurate modelling of this phenomenon...