About

Research

Research Areas Projects Publications

Community

Events News Affiliations

Membership

Contact

Journal · 2023

Electrocardiogram signal classification in an IoT environment using an adaptive deep neural networks

G. Aloy Anuja Mary, B. Sathyasri, K. Murali, L. Arokia Jesu Prabhu, N. Bharatha Devi, AROKIA LAZER

Cited by 14 Neural Computing and Applications DOI

Abstract

No abstract has been published for this record yet. The publisher has not deposited one — you can read the paper via its DOI.

Other publications from the same authors

2026

BookIntellivest: An AI-Enhanced Gamified Platform for Financial Literacy Education

Information Systems Engineering and Managementdoi.org/10.1007/978-3-032-32709-3_7

ConferenceAdvancing Alzheimer’s Diagnosis: A Deep Learning-Based Multi-stage Identification Method

Lecture Notes in Networks and Systemsdoi.org/10.1007/978-981-96-7477-0_49

JournalMulti-objective optimization of hybrid renewable microgrids integrating solar, wind, and biomass for rural electrification

Clean Energy Science and Technologydoi.org/10.18686/cest635

BookFruit deterioration detection for farmers with machine learning techniques making use of image processing

AIP Conference Proceedingsdoi.org/10.1063/5.0318897

2025

ConferenceNavigating Future Coronary Heart Disease Scenarios with Ensemble Learning

Cognitive Science and Technologydoi.org/10.1007/978-981-97-9262-7_31

BookMachine Learning Based Ensemble Learning Approach for Malware Family Classification Using Visual File Representations

Information Systems Engineering and Managementdoi.org/10.1007/978-3-031-97709-1_4

Related publications from other authors

Work by different authors, ranked by shared research area, venue and topic.

2025

JournalNEURAL NETWORKS FOR DETECTING FAKE NEWS AND MISINFORMATION: AN AI-POWERED FRAMEWORK FOR SECURING DIGITAL MEDIA AND SOCIAL PLATFORMS

Kashf Journal of Multidisciplinary Researchdoi.org/10.71146/kjmr275

JournalNeural Networks In Medical Neuroimaging: Advancing Detection And Treatment Of Neurological Disorders And Brain Tumors

Journal of Carcinogenesisdoi.org/10.64149/j.carcinog.24.4s.59-73

2024

JournalAutomatic Estuarine Fish Species Classification System Based on Deep Learning Techniques

IEEE Accessdoi.org/10.1109/ACCESS.2024.3468438

2023

ConferenceClassification of Rice Varieties using Convolution Neural Networks

2nd International Conference on Business Analytics for Technology and Security, ICBATS 2023doi.org/10.1109/ICBATS57792.2023.10111346

2022

JournalEstimation of thermophysical property of hybrid nanofluids for solar Thermal applications: Implementation of novel Optimizable Gaussian Process regression (O-GPR) approach for Viscosity prediction

Neural Computing and Applicationsdoi.org/10.1007/s00521-022-07038-2

JournalA deep learning-based COVID-19 classification from chest X-ray image: case study

EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICSdoi.org/10.1140/EPJS/S11734-022-00647-X

Publication details

Venue: Neural Computing and Applications
Type: Journal · 2023
DOI: 10.1007/s00521-023-08534-9
Citations: 14 · via Crossref, 17 September 2026

Cite this publication

Copy a ready-formatted citation in your preferred style.

APA

Mary, G. A. A., Sathyasri, B., Murali, K., Prabhu, L. A. J., Devi, N. B., & LAZER, A. (2023). Electrocardiogram signal classification in an IoT environment using an adaptive deep neural networks. Neural Computing and Applications. https://doi.org/10.1007/s00521-023-08534-9

Harvard

Mary, G.A.A., Sathyasri, B., Murali, K., Prabhu, L.A.J., Devi, N.B. and LAZER, A. (2023) 'Electrocardiogram signal classification in an IoT environment using an adaptive deep neural networks', Neural Computing and Applications. doi: 10.1007/s00521-023-08534-9.

IEEE

G. A. A. Mary, B. Sathyasri, K. Murali, L. A. J. Prabhu, N. B. Devi, and A. LAZER, "Electrocardiogram signal classification in an IoT environment using an adaptive deep neural networks," Neural Computing and Applications, 2023. doi: 10.1007/s00521-023-08534-9.

Vancouver

Mary GAA, Sathyasri B, Murali K, Prabhu LAJ, Devi NB, LAZER A. Electrocardiogram signal classification in an IoT environment using an adaptive deep neural networks. Neural Computing and Applications. 2023. doi: 10.1007/s00521-023-08534-9.

MLA

Mary, G. Aloy Anuja, et al.. "Electrocardiogram signal classification in an IoT environment using an adaptive deep neural networks." Neural Computing and Applications, 2023. https://doi.org/10.1007/s00521-023-08534-9.

Chicago

Mary, G. A. A., Sathyasri, B., Murali, K., Prabhu, L. A. J., Devi, N. B., LAZER, A.. "Electrocardiogram signal classification in an IoT environment using an adaptive deep neural networks." Neural Computing and Applications (2023). https://doi.org/10.1007/s00521-023-08534-9.

BibTeX

@article{mary2023, title={Electrocardiogram signal classification in an IoT environment using an adaptive deep neural networks}, author={Mary, G. Aloy Anuja and Sathyasri, B. and Murali, K. and Prabhu, L. Arokia Jesu and Devi, N. Bharatha and LAZER, AROKIA}, journal={Neural Computing and Applications}, year={2023}, doi={10.1007/s00521-023-08534-9}, }

← All publications