U. Rajendra Acharya - Concepedia

Author

U. Rajendra Acharya

Also Known As

A.U. Rajendra, Abdulameer, N. J., Acharya U, Acharya U, Rajendra, Acharya U. Rajendra, Acharya, U R, Acharya, U Rajendra, Acharya, U., Acharya, U. Rajendra, Acharya, U.R.

1.1K

Publications

87K

Citations

146

H-Index

515

Concepts

All Affiliations

Ngee Ann Polytechnic Singapore University of Social Sciences Asia University University of Malaya University of Southern Queensland

About

U. Rajendra Acharya is an author at Ngee Ann Polytechnic specializing in engineering, medicine, and pattern recognition.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	101	350	39.5K
2	Health Sciences	43	87	9.7K
3	Business	2	2	137
4	Arts	1	1	75
5	Education	1	1	26

U. Rajendra Acharya

646

Publications

63.8K

Citations

130

H-Index

Page 1

	Year	Citations
Automated detection of COVID-19 cases using deep neural networks with X-ray images Tülin Öztürk, Muhammed Talo, Eylul Azra Yildirim, Computers in Biology and Medicine Deep Neural NetworksImage AnalysisEngineeringMedical ImagingX-ray Images	2020	2.6K
Deep convolutional neural network for the automated detection and diagnosis of seizure using EEG signals U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Computers in Biology and Medicine NeurophysiologyComputational NeuroscienceNeuroinformaticsEeg Signal ProcessingBraincomputer Interface	2017	1.6K
A deep convolutional neural network model to classify heartbeats U. Rajendra Acharya, Shu Lih Oh, Yuki Hagiwara, Computers in Biology and Medicine Biosignal ProcessingEngineeringMachine LearningDeep Learning	2017	1.3K
Application of deep convolutional neural network for automated detection of myocardial infarction using ECG signals U. Rajendra Acharya, Hamido Fujita, Shu Lih Oh, Information Sciences Convolutional Neural NetworkEcg SignalsMyocardial InfarctionAutomated DetectionDeep Learning	2017	916
Application of deep learning technique to manage COVID-19 in routine clinical practice using CT images: Results of 10 convolutional neural networks Ali Abbasian Ardakani, Alireza Rajabzadeh Kanafi, U. Rajendra Acharya, Computers in Biology and Medicine Convolutional Neural NetworkImage AnalysisEngineeringMedical ImagingDeep Learning	2020	874
Arrhythmia detection using deep convolutional neural network with long duration ECG signals Özal Yıldırım, Paweł Pławiak, Ru‐San Tan, Computers in Biology and Medicine Convolutional Neural NetworkEngineeringBiosignal ProcessingArrhythmia DetectionDeep Learning	2018	817
Entropies for detection of epilepsy in EEG N. Kannathal, Min Lim Choo, U. Rajendra Acharya Computer Methods and Programs in Biomedicine NeurophysiologyComputational NeuroscienceEeg Signal ProcessingNeuroimagingCognitive Electrophysiology	2005	754
Automated detection of arrhythmias using different intervals of tachycardia ECG segments with convolutional neural network U. Rajendra Acharya, Hamido Fujita, Oh Shu Lih, Information Sciences Electrophysiological EvaluationConvolutional Neural NetworkEngineeringMachine LearningPattern Recognition	2017	712
ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis Mohammad Ehsan Basiri, Shahla Nemati, Moloud Abdar, Future Generation Computer Systems Natural Language ProcessingEngineeringDeep LearningRecurrent Neural NetworkSentiment Analysis	2020	708
ECG beat classification using PCA, LDA, ICA and Discrete Wavelet Transform Roshan Joy Martis, U. Rajendra Acharya, Lim Choo Min Biomedical Signal Processing and Control Electrophysiological EvaluationEngineeringEcg Beat ClassificationBiosignal ProcessingDiscrete Wavelet Transform	2013	706

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