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MTRGL:Effective Temporal Correlation Discerning through Multi-modal Temporal Relational Graph Learning
In this study, we explore the synergy of deep learning and financial market applications, focusing on pair trading.
Leveraging Large Language Model for Automatic Evolving of Industrial Data-Centric R&D Cycle
In the wake of relentless digital transformation, data-driven solutions are emerging as powerful tools to address multifarious industrial tasks such as forecasting, anomaly detection, planning, and even complex decision-making.
Macro carbon price prediction with support vector regression and Paris accord targets
Carbon neutralization is an urgent task in society because of the global warming threat.
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