[HTML][HTML] Continuous and explosive synchronization transition in turbulent combustors
Thermoacoustic instabilities in turbulent combustors have disastrous consequences and
present notorious challenges in their modeling, prediction, and control. Such instabilities are …
present notorious challenges in their modeling, prediction, and control. Such instabilities are …
Implementing Analog Artificial Neural Networks for Enhanced Energy Efficiency and Speed in Machine Learning Applications
SM Abdelouahed, A Abdellah - … International Conference on …, 2024 - ieeexplore.ieee.org
This paper presents the development and simulation of an analog artificial neural network
(ANN) aimed at improving energy efficiency and processing speed for machine learning …
(ANN) aimed at improving energy efficiency and processing speed for machine learning …
[PDF][PDF] Thermoacoustic transitions and their control in turbulent combustors
S SINGH - 2024 - researchgate.net
Climate change due to emissions from human activity is one of the paramount challenges in
the twenty-first century. To tackle this urgent problem, stringent emission laws have been …
the twenty-first century. To tackle this urgent problem, stringent emission laws have been …
[PDF][PDF] Design of Convolutional Neural Network Based on FPGA
recently with the rapid development of artificial intelligence AI, various deep learning
algorithms represented by Convolutional Neural Networks (CNN) have been widely utilized …
algorithms represented by Convolutional Neural Networks (CNN) have been widely utilized …