Artificial intelligence enabled project management: a systematic literature review

I Taboada, A Daneshpajouh, N Toledo, T de Vass - Applied Sciences, 2023 - mdpi.com
In the Industry 5.0 era, companies are leveraging the potential of cutting-edge technologies
such as artificial intelligence for more efficient and green human-centric production. In a …

An improved symbiotic organisms search algorithm for higher dimensional optimization problems

S Chakraborty, S Nama, AK Saha - Knowledge-Based Systems, 2022 - Elsevier
The symbiotic organisms search (SOS) algorithm was introduced by considering the
relationships among the creatures in a natural ecosystem. Despite the superior efficiency of …

[HTML][HTML] Planificación del flujo de caja de proyectos de construcción basada en BIM y dinámica de sistemas

KM Castañeda-Parra, OG Sánchez-Rivera… - Entramado, 2021 - scielo.org.co
La planificación del flujo de caja de un proyecto de construcción es una actividad decisiva
para garantizar los recursos financieros que son necesarios para el desarrollo de las …

Energy-aware workflow scheduling in fog computing using a hybrid chaotic algorithm

A Mohammadzadeh, M Akbari Zarkesh… - The Journal of …, 2023 - Springer
Fog computing paradigm attempts to provide diverse processing at the edge of IoT networks.
Energy usage being one of the important elements that may have a direct influence on the …

An advanced meta-learner based on artificial electric field algorithm optimized stacking ensemble techniques for enhancing prediction accuracy of soil shear strength

MT Cao, ND Hoang, VH Nhu, DT Bui - Engineering with Computers, 2022 - Springer
Shear strength is a crucial property of soils regarded as its intrinsic capacity to resist failure
when forces act on the soil mass. This study proposes an advanced meta-leaner to discern …

Develo** a novel cash flow risk analysis framework for construction projects based on 5D BIM

AA Ranjbar, R Ansari, R Taherkhani… - Journal of Building …, 2021 - Elsevier
Cash flow management through analyzing various scenarios is still a problem for
contractors, yet it is of paramount importance, with direct implications for the success of …

[HTML][HTML] Multi-objective unsupervised feature selection and cluster based on symbiotic organism search

AFJ AL-Gburi, MZA Nazri, MRB Yaakub, ZAA Alyasseri - Algorithms, 2024 - mdpi.com
Unsupervised learning is a type of machine learning that learns from data without human
supervision. Unsupervised feature selection (UFS) is crucial in data analytics, which plays a …

Exploring the challenges and impacts of artificial intelligence implementation in project management: A systematic literature review

MI Hashfi, T Raharjo - International Journal of Advanced …, 2023 - search.proquest.com
This paper presents a systematic literature review (SLR) investigating the challenges and
impacts of implementing artificial intelligence (AI) in project management, specifically …

Chaotic hybrid multi-objective optimization algorithm for scientific workflow scheduling in multisite clouds

A Mohammadzadeh, D Javaheri… - Journal of the Operational …, 2024 - Taylor & Francis
A cloud is made up of many data centers, with its own set of data and resources. The
reasons for employing several cloud sites to operate a workflow are that the data is already …