Forecasting new product demand using domain knowledge and machine learning (2022)
- Authors:
- USP affiliated authors: SANTANA, JOSÉ CARLOS CURVELO - EP ; QUINTANILHA, JOSE ALBERTO - EP ; BERSSANETI, FERNANDO TOBAL - EP ; YAMAMURA, CHARLES LINCOLN KENJI - EP
- Unidade: EP
- DOI: 10.1080/08956308.2022.2062553
- Subjects: DEMANDA; PRODUTOS NOVOS; APRENDIZADO COMPUTACIONAL
- Language: Inglês
- Imprenta:
- Source:
- Título: Research-Technology Management
- ISSN: 1930-0166
- Volume/Número/Paginação/Ano: v. 65, n.4, p. 27-36, Jul./Aug. 2022
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
YAMAMURA, Charles Lincoln Kenji et al. Forecasting new product demand using domain knowledge and machine learning. Research-Technology Management, v. 65, n. 4, p. 27-36, 2022Tradução . . Disponível em: https://doi.org/10.1080/08956308.2022.2062553. Acesso em: 20 jan. 2026. -
APA
Yamamura, C. L. K., Santana, J. C. C., Masiero, B. S., Quintanilha, J. A., & Berssaneti, F. T. (2022). Forecasting new product demand using domain knowledge and machine learning. Research-Technology Management, 65( 4), 27-36. doi:10.1080/08956308.2022.2062553 -
NLM
Yamamura CLK, Santana JCC, Masiero BS, Quintanilha JA, Berssaneti FT. Forecasting new product demand using domain knowledge and machine learning [Internet]. Research-Technology Management. 2022 ; 65( 4): 27-36.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1080/08956308.2022.2062553 -
Vancouver
Yamamura CLK, Santana JCC, Masiero BS, Quintanilha JA, Berssaneti FT. Forecasting new product demand using domain knowledge and machine learning [Internet]. Research-Technology Management. 2022 ; 65( 4): 27-36.[citado 2026 jan. 20 ] Available from: https://doi.org/10.1080/08956308.2022.2062553 - Refurbishing and recycling of cell phones as a sustainable process of reverse logistics: a case study in Brazil
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Informações sobre o DOI: 10.1080/08956308.2022.2062553 (Fonte: oaDOI API)
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