Ушбу ишга иқтибос қилган ишлар

2 та иш

Иш: QAmplifyNet: pushing the boundaries of supply chain backorder prediction using interpretable hybrid quantum-classical neural network

1. Improve carbon dioxide emission prediction in the Asia and Oceania (OECD): nature-inspired optimisation algorithms versus conventional machine learning

   Loke Kok Foong, Vojtěch Blažek, Lukáš Prokop +3

   МақолаAir Quality Monitoring and ForecastingEngineering Applications of Computational Fluid Mechanics20240 иқтибос

   ABIABI:AkademIndex/openalex/2024.article.000820

2. Predicting and Preventing Fraud in Supply Chain Networks using Deep Neural Networks and Clustering Techniques

   K Anil Kumar, K. Srinivasan, Nanthini L. +3

   МақолаImbalanced Data Classification Techniques20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.018840