[HTML][HTML] Improving aircraft performance using machine learning: A review

S Le Clainche, E Ferrer, S Gibson, E Cross… - Aerospace Science and …, 2023 - Elsevier
This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …

Advancing reacting flow simulations with data-driven models

K Zdybał, G D'Alessio, G Aversano, MR Malik… - arXiv preprint arXiv …, 2022 - arxiv.org
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 …

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 …

Large eddy simulations of ammonia-hydrogen jet flames at elevated pressure using principal component analysis and deep neural networks

S Abdelwahid, MR Malik, HAAK Hammoud… - Combustion and …, 2023 - Elsevier
The combustion of ammonia/hydrogen is currently gaining importance in the power
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

MR Malik, PO Vega, A Coussement… - Proceedings of the …, 2021 - Elsevier
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 …

Acceleration of turbulent combustion DNS via principal component transport

A Kumar, M Rieth, O Owoyele, JH Chen… - Combustion and Flame, 2023 - Elsevier
We investigate the implementation of principal component (PC) transport to accelerate the
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

MR Malik, A Coussement, T Echekki, A Parente - Combustion and Flame, 2022 - Elsevier
The present work advances the PC-transport approach in the context of Large Eddy
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

G Aversano, A Bellemans, Z Li, A Coussement… - Computers & chemical …, 2019 - Elsevier
Detailed numerical simulations of detailed combustion systems require substantial
computational resources, which limit their use for optimization and uncertainty quantification …

Agro-climatic suitability evaluation for saffron production in areas of western Himalaya

D Kothari, M Thakur, R Joshi, A Kumar… - Frontiers in plant …, 2021 - frontiersin.org
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 …

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 …