Complex-valued neural networks: A comprehensive survey
CY Lee, H Hasegawa, S Gao - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Complex-valued neural networks (CVNNs) have shown their excellent efficiency compared
to their real counter-parts in speech enhancement, image and signal processing …
to their real counter-parts in speech enhancement, image and signal processing …
Application of machine learning methods in fault detection and classification of power transmission lines: a survey
The rising development of power systems and smart grids calls for advanced fault diagnosis
techniques to prevent undesired interruptions and expenses. One of the most important part …
techniques to prevent undesired interruptions and expenses. One of the most important part …
Real-time sensing and fault diagnosis for transmission lines
Protection of high voltage transmission lines is one of the crucial problems in the power
system engineering. Accurate and timely detection and identification of transmission line …
system engineering. Accurate and timely detection and identification of transmission line …
Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images
Computer-aided diagnosis for the reliable and fast detection of coronavirus disease (COVID-
19) has become a necessity to prevent the spread of the virus during the pandemic to ease …
19) has become a necessity to prevent the spread of the virus during the pandemic to ease …
The future of management: DAO to smart organizations and intelligent operations
In the future, management in smart societies will revolve around knowledge workers and the
works they produce. This article is committed to explore new management framework …
works they produce. This article is committed to explore new management framework …
A MobileNet-based CNN model with a novel fine-tuning mechanism for COVID-19 infection detection
COVID-19 is a virus that causes upper respiratory tract and lung infections. The number of
cases and deaths increased daily during the pandemic. Once it is vital to diagnose such a …
cases and deaths increased daily during the pandemic. Once it is vital to diagnose such a …
[HTML][HTML] Multi-modal image classification of COVID-19 cases using computed tomography and X-rays scans
COVID pandemic across the world and the emergence of new variants have intensified the
need to identify COVID-19 cases quickly and efficiently. In this paper, a novel dual-mode …
need to identify COVID-19 cases quickly and efficiently. In this paper, a novel dual-mode …
Determination of COVID-19 pneumonia based on generalized convolutional neural network model from chest X-ray images
A Alhudhaif, K Polat, O Karaman - Expert Systems with Applications, 2021 - Elsevier
X-ray units have become one of the most advantageous candidates for triaging the new
Coronavirus disease COVID-19 infected patients thanks to its relatively low radiation dose …
Coronavirus disease COVID-19 infected patients thanks to its relatively low radiation dose …
Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …
innovation to many digital technologies. Even after the progression of vaccination efforts …
Automated multi-class classification of lung diseases from CXR-images using pre-trained convolutional neural networks
SH Karaddi, LD Sharma - Expert Systems with Applications, 2023 - Elsevier
Abstract According to the World Health Organization (WHO), Pneumonia, COVID-19,
Tuberculosis, and Pneumothorax are the leading death causes in the world. Coughing …
Tuberculosis, and Pneumothorax are the leading death causes in the world. Coughing …