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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 …
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 …
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 …
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) …
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 …
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 …
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 …
Efficient prediction of drug–drug interaction using deep learning models
A drug–drug interaction or drug synergy is extensively utilised for cancer treatment.
However, prediction of drug–drug interaction is defined as an ill‐posed problem, because …
However, prediction of drug–drug interaction is defined as an ill‐posed problem, because …
Gamification and machine learning inspired approach for classroom engagement and learning
Technology has enhanced the scope and span of the teaching and learning process but
somehow it could not enhance the self‐motivation and engagement among the students to …
somehow it could not enhance the self‐motivation and engagement among the students to …
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 …