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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 …
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 …
across diverse fields, including industrial and electronic applications. However, the …
Explainable product classification for customs
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 …
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
In this era of e-commerce, many companies are moving towards subscription-based
invoicing platforms to maintain their electronic invoices. Unfortunately, fraudsters are using …
invoicing platforms to maintain their electronic invoices. Unfortunately, fraudsters are using …
[PDF][PDF] Machine Learning Driven Aid Classification for Sustainable Development.
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 …
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 …
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 …
behaviour to elucidate the factors influencing adherence to taxation regulations …
Knowledge sharing via domain adaptation in customs fraud detection
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 …
worldwide have traditionally relied on local resources to accumulate such knowledge and …
Aligning Human and Machine Attention for Enhanced Supervised Learning
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 …
learning process, for both humans and machines. Given that humans continue to outperform …
Customs Fraud Detection Method Based on Artificial Intelligence and Data Analytics
Because of the increased market opening and massive data collection brought about by
globalization, the need of maintaining control over customs procedures has increased …
globalization, the need of maintaining control over customs procedures has increased …