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[HTML][HTML] Application of machine learning in CT images and X-rays of COVID-19 pneumonia
F Zhang - Medicine, 2021 - journals.lww.com
Abstract Coronavirus disease (COVID-19) has spread worldwide. X-ray and computed
tomography (CT) are 2 technologies widely used in image acquisition, segmentation …
tomography (CT) are 2 technologies widely used in image acquisition, segmentation …
CNN-based transfer learning–BiLSTM network: A novel approach for COVID-19 infection detection
Abstract Coronavirus disease 2019 (COVID-2019), which emerged in Wuhan, China in 2019
and has spread rapidly all over the world since the beginning of 2020, has infected millions …
and has spread rapidly all over the world since the beginning of 2020, has infected millions …
A systematic literature review on human ear biometrics: Approaches, algorithms, and trend in the last decade
Biometric technology is fast gaining pace as a veritable developmental tool. So far, biometric
procedures have been predominantly used to ensure identity and ear recognition …
procedures have been predominantly used to ensure identity and ear recognition …
Fine-tuning convolutional neural network with transfer learning for semantic segmentation of ground-level oilseed rape images in a field with high weed pressure
Image processing technology has gained considerable attention in agricultural proximal
sensing applications, including plant disease detection, vegetation fraction estimation …
sensing applications, including plant disease detection, vegetation fraction estimation …
Explainable Artificial Intelligence (EXAI) models for early prediction of Parkinson's disease based on spiral and wave drawings
Parkinson's disease (PD) is a rapidly growing neurodegenerative disorder that primarily
affects the elderly population. Until now, there has been no antidote for PD. However …
affects the elderly population. Until now, there has been no antidote for PD. However …
CNN-based bi-directional and directional long-short term memory network for determination of face mask
Context The COVID-19 virus, exactly like in numerous other diseases, can be contaminated
from person to person by inhalation. In order to prevent the spread of this virus, which led to …
from person to person by inhalation. In order to prevent the spread of this virus, which led to …
Cross-wavelet assisted convolution neural network (AlexNet) approach for phonocardiogram signals classification
The exponential growth of a multitude of cardiovascular diseases, leading to life frightening
conditions, makes fast and accurate computer-aided techniques that are relevant and …
conditions, makes fast and accurate computer-aided techniques that are relevant and …
[HTML][HTML] Ensembles of deep learning models and transfer learning for ear recognition
The recognition performance of visual recognition systems is highly dependent on extracting
and representing the discriminative characteristics of image data. Convolutional neural …
and representing the discriminative characteristics of image data. Convolutional neural …
[HTML][HTML] Machine learning technologies for sustainability in smart cities in the post-covid era
The unprecedented urban growth of recent years requires improved urban planning and
management to make urban spaces more inclusive, safe, resilient and sustainable …
management to make urban spaces more inclusive, safe, resilient and sustainable …
Deep convolutional neural networks for unconstrained ear recognition
This paper employs state-of-the-art Deep Convolutional Neural Networks (CNNs), namely
AlexNet, VGGNet, Inception, ResNet and ResNeXt in a first experimental study of ear …
AlexNet, VGGNet, Inception, ResNet and ResNeXt in a first experimental study of ear …