Background: Retail inventories are heterogeneous, yet demand forecasting studies typically select one model for an entire portfolio, leaving open how forecasting effort should be allocated across inventory segments. Methods: Six models—ARIMA, SARIMA, ARIMAX, Random Forest, LightGBM and an LSTM network—were estimated on...
Gina Marcela Hernández-Orozco, J. Reales-Barragán, Verónica Deibe-Blanco et al.· Logistics· 0 citations
Marine Protected Areas (MPAs) are central to global ocean conservation, yet the latent thematic organization of three decades of MPA research has not been systematically characterized. This study applies BERTopic, a transformer-based neural topic modeling framework, to 10,735 peer-reviewed publications indexed in Scopu...
J. de la Hoz-M, Humberto Llinás, Manuel J. Campuzano et al.· Oceans· 0 citations
The rapid convergence of artificial intelligence, machine learning, and financial and risk analytics has produced a large and fragmented body of scientific literature, making it difficult to identify its thematic structure and evolutionary trends. This study addresses that gap by proposing a bibliometric-computational...
Lois Soto, Sofia Romero, Rick K. Acosta-Vega· Information· 0 citations
Game Theory provides a foundation for multi-agent systems, reinforcement learning, mechanism design, and adversarial learning within AI and ML. Nevertheless, few comprehensive studies map the structure and branches of this cross-disciplinary field. The current research attempts to fill this gap by providing a combined...
Juan Reales-Barragán, Javier De La Hoz-Maestre, Rick K. Acosta-Vega· Mathematical and Computation...· 0 citations
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