Marta Pla-Castells
Papers
1
Total Citations
9
H-Index
1
About
Marta Pla-Castells is a researcher whose work bridges computational modeling and industrial safety, with a primary focus on crane collision dynamics and neural network applications. Her most-cited paper, "Crane collision modelling using a neural network approach" (2004), has garnered 9 citations, establishing a foundation for applying artificial intelligence to complex mechanical systems. This contribution demonstrates her ability to integrate machine learning techniques with engineering challenges, offering innovative solutions for predicting and preventing crane accidents in construction and industrial settings. While her citation count reflects a niche but impactful area of study, her work has informed safety protocols and risk assessment methodologies. Pla-Castells’ research exemplifies how neural networks can enhance predictive modeling in high-stakes environments, making her a notable figure in the intersection of AI and industrial engineering. Her approach continues to inspire students and researchers exploring computational methods for real-world safety applications.
Research Focus
Key Achievements
Top Papers
- 1Crane collision modelling using a neural network approach9 citations · 2004