Work

AMPSO-optimized LSTM model for high-precision construction schedule prediction in smart construction sites: a case study of a tunnel project

Year: 2026

Type: article

Source: Engineering Construction & Architectural Management

DOI: 10.1108/ecam-08-2025-1342

Authors: Zhengxin Zhang, Yichen Liang, Piao Li, Yongxiang Wang, Xing Huang, Yingjie Sun

Institutions: East China Jiaotong University, Jiangxi University of Finance and Economics

Language: English

Topic: Construction Project Management and Performance

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDGs: Industry, innovation and infrastructure, Sustainable cities and communities

Open Access status: closed

OpenAlex ID: W7170055203

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Cites: 44

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