Autonomous Fetal Distress Detection with Cardiotocogram Classification using Auto-Encoder Model Combined with Recurrent Neural NetworksAutonomous Fetal Distress Detection with Cardiotocogram Classification using Auto-Encoder Model Combined with Recurrent Neural Networks
Nanotechnology Perceptions · Dec 12, 2024. https://nano-ntp.com/index.php/nano/article/view/3824
Cardiotocogram Data Generation using CT-GANs for Enhancement of Performance metrics used for Classification ModelsCardiotocogram Data Generation using CT-GANs for Enhancement of Performance metrics used for Classification Models
International Conference on Renewable Energy Resources and Applications (ICRERA-2024) · Nov 14, 2024.http://doi.org/10.1051/e3sconf/202459108007
Cardiotocogram Data classification using Machine Learning Algorithms along with Swarm-Based Metaheuristic optimizations for Autonomous Fetal distress detectionCardiotocogram Data classification using Machine Learning Algorithms along with Swarm-Based Metaheuristic optimizations for Autonomous Fetal distress detection
Journal of Electrical Systems · Oct 4, 2024
Autonomous Fetal Distress Detection based on performance of Machine learning algorithmsAutonomous Fetal Distress Detection based on performance of Machine learning algorithms
Journal of Computational Analysis and Applications · May 25, 2024
Alekhya, L., and P. Rajesh Kumar, "A new approach to detect cardiovascular diseases using ECG scalograms and ML-based CNN algorithm." Mar 20, 2023. International Journal of Computational Vision and Robotics/Inderscience publishers. DOI: 10.1504/IJCVR.2022.10051429 Link: https://www.inderscience.com/info/ingeneral/forthcoming.php?jcode=IJCVR
Alekhya, L., and P. Rajesh Kumar. "A Novel Application for Autonomous Detection of Cardiac Ailments using ECG Scalograms with Alex Net Convolution Neural Network." Design Engineering (2021): 13176-13189. Link: http://www.thedesignengineering.com/index.php/DE/article/view/6434
Autonomous Detection of Cardiac Ailments using Long-short term Memory Model based on Electrocardiogram signals, L. Alekhya, P. Rajesh Kumar, A. Venkata Sriram DOI: 10.14704/nq.2022.20.7.NQ33431. Pages: 3509 - 3518. Link: https://www.neuroquantology.com/open-access/Autonomous+Detection+of+Cardiac+Ailments+using+Longshort+term+Memory+Model+based+on+Electrocardiogram+signals_5781/
Autonomous Detection of Cardia Ailments diagnosed by Electrocardiogram using various Supervised Machine Learning AlgorithmsAutonomous Detection of Cardia Ailments diagnosed by Electrocardiogram using various Supervised Machine Learning Algorithms AMA, Agricultural Mechanization in Asia, Africa and Latin America (ISSN: 00845841) · Sep 18, 2021. Link: https://www.shin-norinco.com/article/autonomous-detection-of-cardia-ailments-diagnosed-by-electrocardiogram-using-various-supervised-machine-learning-algorithms
L Alekhya, P Rajesh Kumar, “Maximal Overlap Discrete Wavelet Packet Transform Based Characteristic waves detection in Electrocardiogram of Cardiovascular Diseases”, INTERNATIONAL JOURNAL OF SPECIAL EDUCATION, vol 36 (1), pp 51-61, 2021.
1. Actively served as an Organizing Committee Member and Participant in the AICTA International Conference on Artificial Intelligence, Computing Technologies, Internet of Things(IoT) and Data Analytics (2025)
Role: Organizing Committee Member and Participant
Conference: AICTA – International Conference on Artificial Intelligence, Computing Technologies Internet of Things(IoT) and Data Analytics
Collaboration: Organized by Lendi Institute of Engineering and Technology in collaboration with MIND International Society
Year: 2025
Details: Actively contributed to organizing the conference sessions, coordinating with speakers and participants, contributing to the overall success and smooth execution of the conference and also took part in technical sessions and discussions on emerging trends in Artificial Intelligence and Computing Technologies.
1. Mentored students in STAR PNT projects initiated by IIT Tirupati, offering guidance throughout the research, development, and presentation phases to encourage innovation and technical excellence.
2. Acted as an Organizing Committee Member for the Smart India Hackathon (SIH) organized at the institutional level under the Innovation and Incubation Cell, Lendi Institute of Engineering and Technology contributing to event coordination and mentoring student teams.
3. Mentored and guided a student team throughout the development of an innovative ECG based Smart Health Care System project for the Smart India Hackathon, offering end-to-end guidance on design, implementation, and presentation.
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