7 papers
Pattern Recognition of Aluminium Arbitrage in Global Trade Data
Muhammad Sukri Bin Ramli
As the global economy transitions toward decarbonization, the aluminium sector has become a focal point for strategic resource management. While policies such as the Carbon Border…
Pattern Recognition of Ozone-Depleting Substance Exports in Global Trade Data
Muhammad Sukri Bin Ramli
New methods are needed to monitor environmental treaties, like the Montreal Protocol, by reviewing large, complex customs datasets. This paper introduces a framework using unsuperv…
Pattern Recognition of Scrap Plastic Misclassification in Global Trade Data
Muhammad Sukri Bin Ramli
We propose an interpretable machine learning framework to help identify trade data discrepancies that are challenging to detect with traditional methods. Our system analyzes trade…
Pattern Recognition of Illicit E-Waste Misclassification in Global Trade Data
Muhammad Sukri Bin Ramli
The global trade in electronic and electrical goods is complicated by the challenge of identifying e-waste, which is often misclassified to evade regulations. Traditional analysis…
Intelligent Automation for FDI Facilitation: Optimizing Tariff Exemption Processes with OCR And Large Language Models
Muhammad Sukri Bin Ramli
Tariff exemptions are fundamental to attracting Foreign Direct Investment (FDI) into the manufacturing sector, though the associated administrative processes present areas for opti…
Brewing Discontent: How U.S. Reciprocal Tariffs on Coffee Could Echo the Boston Tea Party
Muhammad Sukri Bin Ramli
This research employs quantitative techniques interpreted through relevant economic theories to analyze a proposed U.S. "Discounted Reciprocal Tariff" structure. Statistical modeli…