A Robust, Resilience Machine Learning With a Risk Approach for Project Scheduling

A Robust, Resilience Machine Learning With a Risk Approach for Project Scheduling

ABSTRACT This study proposes a novel Robust, Resilient, and Risk‐Based approach in Machine Learning (3RML) that emphasizes the application of project scheduling for the first time. A robust stochastic LASSO regression model is proposed to predict project duration. This model seeks to enhance a tradi...

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Bibliographic Details
Main Authors: Reza Lotfi, Soheila Sadeghi, Sadia Samar Ali, Fatemeh Ramyar, Ehsan Ghafourian, Ebrahim Farbod
Format: Article
Language:English
Published: Wiley 2025-06-01
Series:Engineering Reports
Subjects:
machine learning
project scheduling
resiliency
risk
robust optimization
Online Access:https://doi.org/10.1002/eng2.70161
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https://doi.org/10.1002/eng2.70161

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