Deep transfer learning approaches in performance analysis of brain tumor classification using MRI images

C Srinivas, NP KS, M Zakariah… - Journal of …, 2022 - Wiley Online Library
… In this work, we present a comparative performance analysis of … , magnetic field gradients,
and computer-generated radio waves … With the evaluation performance of each architecture, it …

NAGNN: classification of COVID‐19 based on neighboring aware representation from deep graph neural network

S Lu, Z Zhu, JM Gorriz, SH Wang… - International Journal of …, 2022 - Wiley Online Library
… In this study, we intended to develop a computer-aided … We compared the classification
performance of the proposed GRVFL with conventional RVFL based on fivefold cross-validation. …

[Retracted] COVID‐19 Detection Based on Lung Ct Scan Using Deep Learning Techniques

SV Kogilavani, J Prabhu, R Sandhiya… - … Methods in …, 2022 - Wiley Online Library
… the VGG16 architecture gives better accuracy compared to … The use of X-rays and computed
tomography scans is one of the … Using 5-fold cross-validation, these three models create and …

An internet of health things‐driven deep learning framework for detection and classification of skin cancer using transfer learning

A Khamparia, PK Singh, P Rani… - Transactions on …, 2021 - Wiley Online Library
… with four pretrained architectures and accuracy comparison … as compared to other similar
pretrained methods or architecture… frameworks with respect to different train-test validation split. …

An effective feature engineering for DNN using hybrid PCA-GWO for intrusion detection in IoMT architecture

SP RM, PKR Maddikunta, M Parimala, S Koppu… - Computer …, 2020 - Elsevier
… machine learning algorithms are compared on the benchmark … difficult for these techniques
to detect online transactions and … for experimental evaluation, the pre-processing performed …

An evaluation of deep learning methods for small object detection

ND Nguyen, T Do, TD Ngo… - … of electrical and computer …, 2020 - Wiley Online Library
… its architecture as a two-stage network which reduces the speed of processing of this method.
… In addition to the comparative accuracy, other comparisons are also provided to make our …

A deep Residual U-Net convolutional neural network for automated lung segmentation in computed tomography images

A Khanna, ND Londhe, S Gupta, A Semwal - … and Biomedical Engineering, 2020 - Elsevier
… In this study, online data augmentation has been utilized during the training … -validation
techniques are used for model performance analysis. The main difference between our method

[Retracted] Design of Ideological and Political Multimedia Network Teaching Resources Integration System Based on Wireless Network

L Rong - Scientific Programming, 2021 - Wiley Online Library
… structure, content, and evaluation system of the new practical … Furthermore, the researchers
have described and comparedprocessing techniques and then through human-computer

[HTML][HTML] Plant leaf disease detection using computer vision and machine learning algorithms

SS Harakannanavar, JM Rudagi… - Global Transitions …, 2022 - Elsevier
… It is having mathematically evident that its architecture is cross … tested on the proposed model
for evaluation, as a result, the … classification technique with a desired accuracy compared to …

Eth-xgaze: A large scale dataset for gaze estimation under extreme head pose and gaze variation

X Zhang, S Park, T Beeler, D Bradley, S Tang… - Computer Vision–ECCV …, 2020 - Springer
comparisons between future methods that leverage this new large-scale dataset, we also
propose a standardized evaluation … Furthermore, an online evaluation system and public leader…