May 24, 2022 · Its input features are extracted from CT images by the wavelet entropy method, while the output is a diagnosis of Covid-19, positive or healthy.

In our study, a deep learning framework for the Covid-19 diagnosis task was constructed using wavelet entropy as a feature extraction method and a feedforward ...

... The SNELM model is compared with seven state-of-the-art COVID-19 recognition models over two datasets. The comparison models consist of FSV [3], 3SBBO [4], ...

Covid-19 Detection by Wavelet Entropy and Self-adaptive PSO · List of references · Publications that cite this publication.

Our research proposed a machine learning model based on wavelet entropy, single hidden layer feedforward neural network and Jaya algorithm.

Covid-19 Detection by Wavelet Entropy and Self-adaptive PSO ; Editorial · Springer Suiza ; ISBN · 978-3-031-06242-1 ; Año de publicación · 2022 ; Páginas · 125-135.

Nov 18, 2022 · We introduce Particle Swarm Optimisation to build a PSO-guided Self-Tuning Convolution Neural Network (PSTCNN), allowing the model to tune hyperparameters ...

Oct 17, 2023 · Our research proposes a machine learning model (WE-BA) using wavelet entropy for feature extraction to reduce the excessive features, one-layer ...

Self-adaptive Jaya Algorithm ... PSTCNN: Explainable COVID-19 diagnosis using PSO-guided self-tuning CNN. ... Covid-19 Detection by Wavelet Entropy and Jaya.