[HTML][HTML] Improving aircraft performance using machine learning: A review
This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …
A comprehensive review of self-powered sensors in civil infrastructure: State-of-the-art and future research trends
Rapid development in structural health monitoring systems has led to the invention of
various sensing technologies. Nonetheless, difficulties in deploying and maintaining …
various sensing technologies. Nonetheless, difficulties in deploying and maintaining …
[HTML][HTML] Machine learning and mixed reality for smart aviation: Applications and challenges
Y Jiang, TH Tran, L Williams - Journal of Air Transport Management, 2023 - Elsevier
The aviation industry is a dynamic and ever-evolving sector. As technology advances and
becomes more sophisticated, the aviation industry must keep up with the changing trends …
becomes more sophisticated, the aviation industry must keep up with the changing trends …
Convex relaxation for efficient sensor layout optimization in large‐scale structures subjected to moving loads
B Błachowski, A Świercz, M Ostrowski… - … ‐Aided Civil and …, 2020 - Wiley Online Library
This paper proposes a computationally effective framework for load‐dependent optimal
sensor placement in large‐scale civil engineering structures subjected to moving loads. Two …
sensor placement in large‐scale civil engineering structures subjected to moving loads. Two …
High-dimensional data analytics in civil engineering: A review on matrix and tensor decomposition
Recent developments in sensing and monitoring techniques have led to the generation of
high-dimensional data in the field of civil engineering. High-dimensional data analytics …
high-dimensional data in the field of civil engineering. High-dimensional data analytics …
Predicting flexural capacity of ultrahigh-performance concrete beams: machine learning–based approach
Despite ongoing research efforts aimed at understanding the structural response of ultrahigh-
performance concrete (UHPC) beams, there are very limited provisions for structural design …
performance concrete (UHPC) beams, there are very limited provisions for structural design …
Identifying deflections of reinforced concrete beams under seismic loads by bio‐inspired optimization of deep residual learning
The seismic performance of a building must be evaluated after it has been affected by an
earthquake load. In the evaluation process, building codes and standards require that the …
earthquake load. In the evaluation process, building codes and standards require that the …
[PDF][PDF] Machine learning-driven assessment of fire-induced concrete spalling of columns
MACHINE LEARNING-DRIVEN ASSESSMENT OF FIRE-INDUCED CONCRETE SPALLING OF
COLUMNS. Page 1 This is a preprint draft. The published article can be found at …
COLUMNS. Page 1 This is a preprint draft. The published article can be found at …
A novel GPR-based prediction model for cyclic backbone curves of reinforced concrete shear walls
Backbone curves are used to characterize nonlinear responses of structural elements by
simplifying the cyclic force–deformation relationships. Accurate modeling of cyclic behavior …
simplifying the cyclic force–deformation relationships. Accurate modeling of cyclic behavior …
Metaheuristics‐optimized ensemble system for predicting mechanical strength of reinforced concrete materials
This paper develops a novel artificial intelligence (AI)‐based approach, called the
metaheuristics‐optimized ensemble system (MOES), to assist civil engineers significantly in …
metaheuristics‐optimized ensemble system (MOES), to assist civil engineers significantly in …