Real-time safety assessment of dynamic systems in non-stationary environments: A review of methods and techniques

Z Liu, S Hu, X He - 2023 CAA Symposium on Fault Detection …, 2023 - ieeexplore.ieee.org
Real-time safety assessment (RTSA) of dynamic systems is a critical task that has significant
implications for various fields such as industrial and transportation applications, especially in …

CADM: Confusion-Based Learning Framework With Drift Detection and Adaptation for Real-Time Safety Assessment

S Hu, Z Liu, M Li, X He - IEEE Transactions on Neural …, 2024 - ieeexplore.ieee.org
Real-time safety assessment (RTSA) of dynamic systems holds substantial implications
across diverse fields, including industrial and electronic applications. However, the …

Explainable product classification for customs

E Lee, S Kim, S Kim, S Jung, H Kim… - ACM Transactions on …, 2024 - dl.acm.org
The task of assigning internationally accepted commodity codes (aka HS codes) to traded
goods is a critical function of customs offices. Like court decisions made by judges, this task …

An augmented AI-based hybrid fraud detection framework for invoicing platforms

DF Wahid, E Hassini - Applied Intelligence, 2024 - Springer
In this era of e-commerce, many companies are moving towards subscription-based
invoicing platforms to maintain their electronic invoices. Unfortunately, fraudsters are using …

[PDF][PDF] Machine Learning Driven Aid Classification for Sustainable Development.

J Lee, H Song, D Lee, S Kim, J Sim, M Cha, KR Park - IJCAI, 2023 - ijcai.org
This paper explores how machine learning can help classify aid activities by sector using the
OECD Creditor Reporting System (CRS). The CRS is a key source of data for monitoring …

Customs import declaration datasets

C Jeong, S Kim, J Park, Y Choi - arxiv preprint arxiv:2208.02484, 2022 - arxiv.org
Given the huge volume of cross-border flows, effective and efficient control of trade becomes
more crucial in protecting people and society from illicit trade. However, limited accessibility …

[PDF][PDF] A systematic review on predictors of customs tax non-compliance behaviour.

U Nair, NH Ahmad - Global Business & Management Research, 2024 - gbmrjournal.com
Purpose: This systematic review examines the predictors of customs tax non-compliance
behaviour to elucidate the factors influencing adherence to taxation regulations …

Knowledge sharing via domain adaptation in customs fraud detection

S Park, S Kim, M Cha - Proceedings of the AAAI Conference on Artificial …, 2022 - ojs.aaai.org
Abstract Knowledge of the changing traffic is critical in risk management. Customs offices
worldwide have traditionally relied on local resources to accumulate such knowledge and …

Aligning Human and Machine Attention for Enhanced Supervised Learning

A Chriqui, I Yahav, D Teeni, A Abbasi - arxiv preprint arxiv:2502.06811, 2025 - arxiv.org
Attention, or prioritization of certain information items over others, is a critical element of any
learning process, for both humans and machines. Given that humans continue to outperform …

Customs Fraud Detection Method Based on Artificial Intelligence and Data Analytics

V Gancheva, G Popov, O Nakov… - 2024 4th …, 2024 - ieeexplore.ieee.org
Because of the increased market opening and massive data collection brought about by
globalization, the need of maintaining control over customs procedures has increased …