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 …
Novel feature selection and voting classifier algorithms for COVID-19 classification in CT images
Diagnosis is a critical preventive step in Coronavirus research which has similar
manifestations with other types of pneumonia. CT scans and X-rays play an important role in …
manifestations with other types of pneumonia. CT scans and X-rays play an important role in …
[HTML][HTML] Feature selection and classification of transformer faults based on novel meta-heuristic algorithm
Detecting transformer faults is critical to avoid the undesirable loss of transformers from
service and ensure utility service continuity. Transformer faults diagnosis can be determined …
service and ensure utility service continuity. Transformer faults diagnosis can be determined …
Adaptive dynamic meta-heuristics for feature selection and classification in diagnostic accuracy of transformer faults
SSM Ghoneim, TA Farrag, AA Rashed… - Ieee …, 2021 - ieeexplore.ieee.org
Detection of transformer faults avoids the transformer's undesirable loss from service and
ensures utility service continuity. Diagnosis of transformer faults is determined using …
ensures utility service continuity. Diagnosis of transformer faults is determined using …
Performance of turbulent flow of water optimization on economic load dispatch problem
The economic load dispatch (ELD) problems considering nonlinear characteristics where an
optimal combination of power generating units is selected in order to minimize the total cost …
optimal combination of power generating units is selected in order to minimize the total cost …
[HTML][HTML] Al-biruni Earth radius optimization based algorithm for improving prediction of hybrid solar desalination system
The performance of a hybrid solar desalination system is predicted in this work using an
enhanced prediction method based on a supervised machine-learning algorithm. A …
enhanced prediction method based on a supervised machine-learning algorithm. A …
[HTML][HTML] A surrogate-assisted adaptive bat algorithm for large-scale economic dispatch
A Pang, H Liang, C Lin, L Yao - Energies, 2023 - mdpi.com
Large-scale grids have gradually become the dominant trend in power systems, which has
increased the importance of solving the challenges associated with large-scale economic …
increased the importance of solving the challenges associated with large-scale economic …
Edla-efds: A novel ensemble deep learning approach for electrical fault detection systems
Early detection of electrical faults is a very essential research area due to its positive
influence on network stability and customer satisfaction. Despite of the electrical fault …
influence on network stability and customer satisfaction. Despite of the electrical fault …
Detection of faults in electrical power grids using an enhanced anomaly-based method
The increasing demand on electrical power consumption all over the world makes the need
of stable and reliable electrical power grids is indispensable. However, one of hostile …
of stable and reliable electrical power grids is indispensable. However, one of hostile …
Enhanced Anomaly‐Based Fault Detection System in Electrical Power Grids
Early and accurate fault detection in electrical power grids is a very essential research area
because of its positive influence on network stability and customer satisfaction. Although …
because of its positive influence on network stability and customer satisfaction. Although …