A Hybrid Temporal Convolutional Network and Transformer Model for Accurate and Scalable Sales Forecasting

Accurate product sales forecasting is critical for inventory management, pricing strategies, and supply chain optimization in the retail industry. This article proposes a novel deep learning architecture that integrates Temporal Convolutional Networks (TCNs) with Transformer-based attention mechanis...

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Principais autores:	Rafi MD AL, Gourab Nicholas Rodrigues, Nazmul Hossain Mir MD, Shahriar Mahmud Bhuiyan MD, M. F. Mridha, MD Rashedul Islam, Yutaka Watanobe
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2025-01-01
coleção:	IEEE Open Journal of the Computer Society
Assuntos:	Sales forecasting time-series forecasting temporal convolutional networks transformers and deep learning
Acesso em linha:	https://ieeexplore.ieee.org/document/10870315/
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