Work

Enhancing Automotive Spare Parts Demand Forecasting: A Synergistic Approach Using K-Means Clustering and LSTM-Attention Models

Year: 2024

Type: conference-paper

Source: Lecture notes in networks and systems

Parent work: Big Data and Internet of Things: Proceeding of The Seventh International Conference on Big Data and Internet of Things BDIoT'24, Volume 2

DOI: 10.1007/978-3-031-74491-4_40

Authors: Asmae Amellal, Issam Amellal, Mohammed Rida Ech-charrat

Institutions: Abdelmalek Essaâdi University, Université Hassan 1er

Language: English

Topic: Forecasting Techniques and Applications

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4405997828

FWCI:

Cites: 22

Cited by:

Related to: 10