[PDF][PDF] Application of Artificial Intelligence in Project Management

F Shoushtari, A Daghighi… - International journal of …, 2024 - researchgate.net
Project management is a complex process that requires careful planning, execution, and
control. Traditional methods often struggle with large datasets, unforeseen challenges, and …

[PDF][PDF] Utilization of artificial intelligence in project management

R Parekh, M Olivia - … Journal of Science and Research Archive, 2024 - researchgate.net
Managing projects involves intricate procedures that demand meticulous planning,
execution, and oversight. Conventional methods frequently face difficulties when handling …

[PDF][PDF] Facilities Layout in Uncertainty Demand and Environmental Requirements by Machine Learning Approach

F Shoushtari, EK Zadeh, A Daghighi - International journal of …, 2024 - researchgate.net
Facility layout optimization plays a crucial role in manufacturing efficiency and
environmental impact. However, traditional approaches often struggle when dealing with …

Machine learning-aided modeling of the hydrogen storage in zeolite-based porous media

T Hai, FA Alenizi, AH Mohammed, BS Chauhan… - … Communications in Heat …, 2023 - Elsevier
Zeolites are among the most popular porous solids for hydrogen storage. Hydrogen attaches
to the surface and microporous structure of zeolites. The literature mainly inspected the …

[HTML][HTML] Comprehensive analysis of multiple machine learning techniques for rock slope failure prediction

A Mahmoodzadeh, A Alanazi, AH Mohammed… - Journal of Rock …, 2024 - Elsevier
In this study, twelve machine learning (ML) techniques are used to accurately estimate the
safety factor of rock slopes (SFRS). The dataset used for develo** these models consists …

Streamflow prediction using support vector regression machine learning model for Tehri Dam

B Sharma, NK Goel - Applied Water Science, 2024 - Springer
Accurate and reliable streamflow prediction is critical for optimising water resource
management, reservoir flood operations, watershed management, and urban water …

Optimized machine learning models for predicting crown convergence of plateau mountain tunnels

X An, F Zheng, Y Jiao, Z Li, Y Zhang, L He - Transportation Geotechnics, 2024 - Elsevier
The precise prediction of tunnel convergence holds significant importance in ensuring the
safety and efficiency of tunnel construction. This study involves the construction of seven …

Enhancing the performance of tunnel water inflow prediction using Random Forest optimized by Grey Wolf Optimizer

J Zhou, Y Zhang, C Li, W Yong, Y Qiu, K Du… - Earth Science …, 2023 - Springer
In this research, a groundbreaking intelligent model named the GWO-RF model is
introduced for the prediction of water inflow (WI) during tunnel construction. WI is a prevalent …

[NAVOD][C] Application Of Artificial Intelligence as An Agility Driver in Project Management

AB Khoulenjani, EK Zadeh, H Ghafourian - International journal of industrial …, 2024

[NAVOD][C] Resiliency and Agility in Preventive and Corrective Maintenance by Optimization Approach

EK Zadeh - International journal of industrial engineering and …, 2024