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[PDF][PDF] Application of Artificial Intelligence in Project Management
Project management is a complex process that requires careful planning, execution, and
control. Traditional methods often struggle with large datasets, unforeseen challenges, 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 …
execution, and oversight. Conventional methods frequently face difficulties when handling …
[PDF][PDF] Facilities Layout in Uncertainty Demand and Environmental Requirements by Machine Learning Approach
Facility layout optimization plays a crucial role in manufacturing efficiency and
environmental impact. However, traditional approaches often struggle when dealing with …
environmental impact. However, traditional approaches often struggle when dealing with …
Machine learning-aided modeling of the hydrogen storage in zeolite-based porous media
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 …
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
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 …
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 …
management, reservoir flood operations, watershed management, and urban water …
Optimized machine learning models for predicting crown convergence of plateau mountain tunnels
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 …
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
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 …
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
[NAVOD][C] Resiliency and Agility in Preventive and Corrective Maintenance by Optimization Approach
EK Zadeh - International journal of industrial engineering and …, 2024