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A comprehensive review of bat inspired algorithm: variants, applications, and hybridization
Bat algorithm (BA) is one of the promising metaheuristic algorithms. It proved its efficiency in
dealing with various optimization problems in diverse fields, such as power and energy …
dealing with various optimization problems in diverse fields, such as power and energy …
Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network
Abstract (Aim) COVID-19 is an infectious disease spreading to the world this year. In this
study, we plan to develop an artificial intelligence based tool to diagnose on chest CT …
study, we plan to develop an artificial intelligence based tool to diagnose on chest CT …
A systematic review on bat algorithm: Theoretical foundation, variants, and applications
T Agarwal, V Kumar - Archives of Computational Methods in Engineering, 2022 - Springer
Bat algorithm (BA) is a population-based metaheuristic algorithm inspired by echolocation
behavior of bat. After the development of BA in 2010, it becomes the attention of researchers …
behavior of bat. After the development of BA in 2010, it becomes the attention of researchers …
COVID-19 classification by CCSHNet with deep fusion using transfer learning and discriminant correlation analysis
Aim: COVID-19 is a disease caused by a new strain of coronavirus. Up to 18th October
2020, worldwide there have been 39.6 million confirmed cases resulting in more than 1.1 …
2020, worldwide there have been 39.6 million confirmed cases resulting in more than 1.1 …
Pathological brain detection based on AlexNet and transfer learning
The aim of this study is to automatically detect pathological brain in magnetic resonance
images (MRI) based on deep learning structure and transfer learning. Deep learning is now …
images (MRI) based on deep learning structure and transfer learning. Deep learning is now …
Pre-trained deep learning models for brain MRI image classification
S Krishnapriya, Y Karuna - Frontiers in Human Neuroscience, 2023 - frontiersin.org
Brain tumors are serious conditions caused by uncontrolled and abnormal cell division.
Tumors can have devastating implications if not accurately and promptly detected. Magnetic …
Tumors can have devastating implications if not accurately and promptly detected. Magnetic …
Deep convolutional neural networks with transfer learning for automated brain image classification
MR brain image categorization has been an active research domain from the last decade.
Several techniques have been devised in the past for MR image categorization, starting from …
Several techniques have been devised in the past for MR image categorization, starting from …
Automated brain image classification based on VGG-16 and transfer learning
The last few decades have witnessed active research in the domain of pathological brain
image classification starting from classical to the deep learning approaches like …
image classification starting from classical to the deep learning approaches like …
AVNC: attention-based VGG-style network for COVID-19 diagnosis by CBAM
(Aim) To detect COVID-19 patients more accurately and more precisely, we proposed a
novel artificial intelligence model.(Methods) We used previously proposed chest CT dataset …
novel artificial intelligence model.(Methods) We used previously proposed chest CT dataset …
A five-layer deep convolutional neural network with stochastic pooling for chest CT-based COVID-19 diagnosis
Abstract Till August 17, 2020, COVID-19 has caused 21.59 million confirmed cases in more
than 227 countries and territories, and 26 naval ships. Chest CT is an effective way to detect …
than 227 countries and territories, and 26 naval ships. Chest CT is an effective way to detect …