A systematic review on harmony search algorithm: theory, literature, and applications
Harmony search algorithm is the recently developed metaheuristic in the last decade. It
mimics the behavior of a musician producing a perfect harmony. It has been used to solve …
mimics the behavior of a musician producing a perfect harmony. It has been used to solve …
Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks
Early classification of 2019 novel coronavirus disease (COVID-19) is essential for disease
cure and control. Compared with reverse-transcription polymerase chain reaction (RT-PCR) …
cure and control. Compared with reverse-transcription polymerase chain reaction (RT-PCR) …
Automated deep transfer learning-based approach for detection of COVID-19 infection in chest X-rays
The most widely used novel coronavirus (COVID-19) detection technique is a real-time
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and take 6-9 hours …
polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and take 6-9 hours …
Deep transfer learning based classification model for COVID-19 disease
The COVID-19 infection is increasing at a rapid rate, with the availability of limited number of
testing kits. Therefore, the development of COVID-19 testing kits is still an open area of …
testing kits. Therefore, the development of COVID-19 testing kits is still an open area of …
Harmony search algorithm and related variants: A systematic review
Harmony search (HS) algorithm is a novel metaheuristic algorithm, inspired by the
phenomenon that musicians repeatedly adjust the pitch of each instrument to finally achieve …
phenomenon that musicians repeatedly adjust the pitch of each instrument to finally achieve …
Multiobjective Genetic Algorithm and Convolutional Neural Network Based COVID‐19 Identification in Chest X‐Ray Images
COVID‐19 is a new disease, caused by the novel coronavirus SARS‐CoV‐2, that was firstly
delineated in humans in 2019. Coronaviruses cause a range of illness in patients varying …
delineated in humans in 2019. Coronaviruses cause a range of illness in patients varying …
A Machine Learning‐Based Big EEG Data Artifact Detection and Wavelet‐Based Removal: An Empirical Approach
The electroencephalogram (EEG) signals are a big data which are frequently corrupted by
motion artifacts. As human neural diseases, diagnosis and analysis need a robust …
motion artifacts. As human neural diseases, diagnosis and analysis need a robust …
Deep neural network-based screening model for COVID-19-infected patients using chest X-ray images
There are limited coronavirus disease 2019 (COVID-19) testing kits, therefore, development
of other diagnosis approaches is desirable. The doctors generally utilize chest X-rays and …
of other diagnosis approaches is desirable. The doctors generally utilize chest X-rays and …
Hybrid ensemble intelligent model based on wavelet transform, swarm intelligence and artificial neural network for electricity demand forecasting
Availability of electrical energy affects many facets of an entire economy of a country. This
has made short-term electrical load forecasting an important area in recent years for policy …
has made short-term electrical load forecasting an important area in recent years for policy …
Multi-modality medical image fusion technique using multi-objective differential evolution based deep neural networks
The advancements in automated diagnostic tools allow researchers to obtain more and
more information from medical images. Recently, to obtain more informative medical …
more information from medical images. Recently, to obtain more informative medical …