Supply chain risk prediction using elite attentive foraging optimized incremental distributed learning based deep gradient boosting model

Related articles

1. Machine Learning for Demand Forecasting in Supply Chain Optimization

   This article has 1 author:

   1. Salim Ahmad

2. Integrative Framework to Enhance Supply-Chain Resilience through Advanced Forecasting, Anomaly Detection, and Optimized Resource Allocation

   This article has 6 authors:

   1. Zihao Liu
   2. Naina Zhao
   3. SueHan Kim
   4. Kerlous Tadres
   5. Niki Dejanov
   6. Nastaezja Rasasane

3. A Deep Reinforcement Learning Framework for Dynamic Portfolio Optimization: Evidence from China's Stock Market

   This article has 3 authors:

   1. Gang Huang
   2. Xiaohua Zhou
   3. Qingyang Song