[HTML][HTML] Hybrid CNN and XGBoost model tuned by modified arithmetic optimization algorithm for COVID-19 early diagnostics from X-ray images
Developing countries have had numerous obstacles in diagnosing the COVID-19 worldwide
pandemic since its emergence. One of the most important ways to control the spread of this …
pandemic since its emergence. One of the most important ways to control the spread of this …
[HTML][HTML] Hybridized sine cosine algorithm with convolutional neural networks dropout regularization application
Deep learning has recently been utilized with great success in a large number of diverse
application domains, such as visual and face recognition, natural language processing …
application domains, such as visual and face recognition, natural language processing …
[HTML][HTML] Performance of a novel chaotic firefly algorithm with enhanced exploration for tackling global optimization problems: Application for dropout regularization
Swarm intelligence techniques have been created to respond to theoretical and practical
global optimization problems. This paper puts forward an enhanced version of the firefly …
global optimization problems. This paper puts forward an enhanced version of the firefly …
Multi-objective task scheduling in cloud computing environment by hybridized bat algorithm
Cloud computing represents relatively new paradigm of utilizing remote computing
resources and is becoming increasingly important and popular technology, that supports on …
resources and is becoming increasingly important and popular technology, that supports on …
[HTML][HTML] Hybrid fruit-fly optimization algorithm with k-means for text document clustering
The fast-growing Internet results in massive amounts of text data. Due to the large volume of
the unstructured format of text data, extracting relevant information and its analysis becomes …
the unstructured format of text data, extracting relevant information and its analysis becomes …
Optimal deep learning neural network using ISSA for diagnosing the oral cancer
Q Huang, H Ding, N Razmjooy - Biomedical Signal Processing and Control, 2023 - Elsevier
Most cancers are not fatal if diagnosed early and treated with medication. But if cancer is not
diagnosed early and people do not start treatment, their lives may be in danger. Oral cancer …
diagnosed early and people do not start treatment, their lives may be in danger. Oral cancer …
Hybrid genetic algorithm and machine learning method for covid-19 cases prediction
A novel type of coronavirus, now known under the acronym COVID-19, was initially
discovered in the city of Wuhan, China. Since then, it has spread across the globe and now it …
discovered in the city of Wuhan, China. Since then, it has spread across the globe and now it …
Feature selection by hybrid brain storm optimization algorithm for covid-19 classification
A large number of features lead to very high-dimensional data. The feature selection method
reduces the dimension of data, increases the performance of prediction, and reduces the …
reduces the dimension of data, increases the performance of prediction, and reduces the …
[HTML][HTML] Chaotic harris hawks optimization with quasi-reflection-based learning: An application to enhance cnn design
The research presented in this manuscript proposes a novel Harris Hawks optimization
algorithm with practical application for evolving convolutional neural network architecture to …
algorithm with practical application for evolving convolutional neural network architecture to …
Architecture evolution of convolutional neural network using monarch butterfly optimization
Y Wang, X Qiao, GG Wang - Journal of Ambient Intelligence and …, 2023 - Springer
Designing suitable convolutional neural networks (CNNs) for different image data requires
much human effort and expertise, in recent years, this process has been greatly accelerated …
much human effort and expertise, in recent years, this process has been greatly accelerated …