[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 …
Advancing reacting flow simulations with data-driven models
The use of machine learning algorithms to predict behaviors of complex systems is booming.
However, the key to an effective use of machine learning tools in multi-physics problems …
However, the key to an effective use of machine learning tools in multi-physics problems …
Integrated multivariate data analysis for Urban Sustainability Assessment, a case study of Casablanca city
A Malah, H Bahi - Sustainable Cities and Society, 2022 - Elsevier
In the last few years, the world's urban population has significantly increased and it is
expected to undergo a continuous accelerated growth. This urban revolution confronts us …
expected to undergo a continuous accelerated growth. This urban revolution confronts us …
Large eddy simulations of ammonia-hydrogen jet flames at elevated pressure using principal component analysis and deep neural networks
The combustion of ammonia/hydrogen is currently gaining importance in the power
generation sector as an alternative for hydrocarbon fuels and improved fundamental insights …
generation sector as an alternative for hydrocarbon fuels and improved fundamental insights …
[HTML][HTML] Combustion modeling using Principal Component Analysis: A posteriori validation on Sandia flames D, E and F
The present work shows the first application of the PC-transport approach in the context of
Large Eddy Simulation (LES) of turbulent combustion. Detailed kinetic mechanisms …
Large Eddy Simulation (LES) of turbulent combustion. Detailed kinetic mechanisms …
Acceleration of turbulent combustion DNS via principal component transport
We investigate the implementation of principal component (PC) transport to accelerate the
direct numerical simulation (DNS) of turbulent combustion flows. The acceleration is …
direct numerical simulation (DNS) of turbulent combustion flows. The acceleration is …
Principal component analysis based combustion model in the context of a lifted methane/air flame: Sensitivity to the manifold parameters and subgrid closure
The present work advances the PC-transport approach in the context of Large Eddy
Simulation (LES) of turbulent combustion. Accurate modeling of combustion systems …
Simulation (LES) of turbulent combustion. Accurate modeling of combustion systems …
[HTML][HTML] Application of reduced-order models based on PCA & Kriging for the development of digital twins of reacting flow applications
Detailed numerical simulations of detailed combustion systems require substantial
computational resources, which limit their use for optimization and uncertainty quantification …
computational resources, which limit their use for optimization and uncertainty quantification …
Agro-climatic suitability evaluation for saffron production in areas of western Himalaya
Saffron (Crocus sativus L.) is an expensive spice crop cultivated successfully in Iran,
Afghanistan, India, Greece, Morocco, Spain, and Italy. The present study was conducted …
Afghanistan, India, Greece, Morocco, Spain, and Italy. The present study was conducted …
Walking gait phase detection based on acceleration signals using LSTM-DNN algorithm
T Zhen, L Yan, P Yuan - Algorithms, 2019 - mdpi.com
Gait phase detection is a new biometric method which is of great significance in gait
correction, disease diagnosis, and exoskeleton assisted robots. Especially for the …
correction, disease diagnosis, and exoskeleton assisted robots. Especially for the …