Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
A Robust, Resilience Machine Learning With a Risk Approach for Project Scheduling
A Robust, Resilience Machine Learning With a Risk Approach for Project Scheduling
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Reza Lotfi
,
Soheila Sadeghi
,
Sadia Samar Ali
,
Fatemeh Ramyar
,
Ehsan Ghafourian
,
Ebrahim Farbod
Format:
Artículo Open Access
Published:
Wiley
2025
Subjects:
Engineering Reports
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://onlinelibrary.wiley.com/doi/10.1002/eng2.70161
Similar Items
Synergistic Closed‐Loop Supply Chain Network Design by Considering Robustness, Risk: An Automotive Case Study
by: Reza Lotfi, et al.
Published: (2025)
Transparency, Resiliency, and Sustainable Supply Chain Network Design by Considering New Technology
by: Mansour Bazregar, et al.
Published: (2025)
A Machine Learning‐Based Forecasting Approaches and Correlation Analysis to Assess Future Extreme Heat Scenarios in Bangladesh and Its Impact on Public Health
by: Tanvir Ehsan, et al.
Published: (2026)
A Discrete‐Element‐Based Pore‐Scale Hydromechanical Approach to Investigate the Hysteresis Effect on the Unsaturated At‐Rest Earth Pressure Coefficient
by: Hossein Ansari, et al.
Published: (2025)
Machine Learning Approaches for Predicting Employee Turnover: A Systematic Review
by: Hojat Talebi, et al.
Published: (2025)