Forecasting Scrap Steel Prices via Machine Learning for the Central Chinese Market
Estimates of price series for a wide variety of commodities have historically been depended on by investors and governments. This research examines the complex task of projecting scrap steel prices...
Research Article
Bayesian-Optimized Gaussian Process Calibration for Forecasting Carbon Allowance Prices in Tianjin
Accurate prognostication of carbon allowance valuation movements is essential for informing environmental policy formulation and enhancing the efficacy of market-driven regulatory instruments. Soph...
Review
Large Language Models and Prompt-Based Learning: Frontiers and Challenges in Cross-Disciplinary Applications
Large language models (LLMs) and prompt-based learning as transformative tools have been widely used across both academic and industrial domains. This paper reviews the current landscape of LLM app...
PDF/EPUB