Year : 2026
Enhanced Detection of the Monkeypox Virus Using Pretrained Deep Learning Models and Squeeze Excitation Layers
Cite this Research Publication : (Muthulakshmi, M., K. Venkatesan, Syarifah Bahiyah Rahayu, and Shashank Mahato. "Enhanced Detection of the Monkeypox Virus using Pretrained Deep Learning Models and Squeeze Excitation Layers." Journal of Advanced Research Design 143, no. 1 (2026): 208-221.5)
Year : 2025
AdaFogNet: An Adaptive Preprocessing-Based Deep Learning Model for Multi-Class Fog Severity Classification
Cite this Research Publication : M. Muthulakshmi, R. Jansi, Tushar Kumar, AdaFogNet: An Adaptive Preprocessing-Based Deep Learning Model for Multi-Class Fog Severity Classification, Aerosol Science and Engineering, Springer Science and Business Media LLC, 2025, https://doi.org/10.1007/s41810-025-00358-5
Publisher : Springer Science and Business Media LLC
Year : 2025
Comparative analysis of resource-efficient YOLO models for rapid and accurate recognition of intestinal parasitic eggs in stool microscopy
Cite this Research Publication : Kotteswaran Venkatesan, Muthunayagam Muthulakshmi, Balaji Prasanalakshmi, Elangovan Karthickeien, Harshini Pabbisetty, Rahayu Syarifah Bahiyah, Comparative analysis of resource-efficient YOLO models for rapid and accurate recognition of intestinal parasitic eggs in stool microscopy, Intelligence-Based Medicine, Elsevier BV, 2025, https://doi.org/10.1016/j.ibmed.2025.100212
Publisher : Elsevier BV
Year : 2025
An intelligent ensemble EfficientNet prediction system for interpretations of cardiac magnetic resonance images in heart failure severity diagnosis
Cite this Research Publication : Muthunayagam Muthulakshmi, Kotteswaran Venkatesan, Balaji Prasanalakshmi, Rahayu Syarifah Bahiyah, Vijayakumar Divya, An intelligent ensemble EfficientNet prediction system for interpretations of cardiac magnetic resonance images in heart failure severity diagnosis, Intelligence-Based Medicine, Elsevier BV, 2025, https://doi.org/10.1016/j.ibmed.2025.100218
Publisher : Elsevier BV
Year : 2025
Customized Spectro-Temporal CNN Feature Extraction and ELM-Based Classifier for Accurate Respiratory Obstruction Detection
Cite this Research Publication : M. Muthulakshmi, K. Venkatesan, Syarifah Bahiyah Rahayu, K. L. Nayana Sree, Customized Spectro-Temporal CNN Feature Extraction and ELM-Based Classifier for Accurate Respiratory Obstruction Detection, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2025, https://doi.org/10.1109/access.2025.3581271
Publisher : Institute of Electrical and Electronics Engineers (IEEE)
Year : 2024
Potato Leaf Disease Detection and Classification With Weighted Ensembling of YOLOv8 Variants
Cite this Research Publication : Muthunayagam Muthulakshmi, Nagasubramanian Aishwarya, Rajes Kumar Vinesh Kumar, Babu Rakesh Thoppaen Suresh, Potato Leaf Disease Detection and Classification With Weighted Ensembling of YOLOv8 Variants, Journal of Phytopathology, Wiley, 2024, https://doi.org/10.1111/jph.13433
Publisher : Wiley
Year : 2021
Identification of systolic and diastolic heart failure progression with Krawtchouk moment feature-aided Harris hawks optimized support vector machine
Cite this Research Publication : Muthulakshmi Muthunayagam, Kavitha Ganesan, Identification of systolic and diastolic heart failure progression with Krawtchouk moment feature-aided Harris hawks optimized support vector machine, Signal, Image and Video Processing, Springer Science and Business Media LLC, 2021, https://doi.org/10.1007/s11760-021-01978-3
Publisher : Springer Science and Business Media LLC
Year : 2020
An integrated multi-objective whale optimized support vector machine and local texture feature model for severity prediction in subjects with cardiovascular disorder
Cite this Research Publication : Muthulakshmi, M., Kavitha, G. An integrated multi-objective whale optimized support vector machine and local texture feature model for severity prediction in subjects with cardiovascular disorder, International Journal of Computer Assisted Radiology and Surgery, Springer, 15, pages 601–615 (2020). https://doi.org/10.1007/s11548-020-02133-y (Impact Factor: 2.924)
Publisher : International Journal of Computer Assisted Radiology and Surgery, Springer, 15, pages 601–615 (2020).
Year : 2020
Cardiovascular Disorder Severity Detection Using Myocardial Anatomic Features Based Optimized Extreme Learning Machine Approach
Cite this Research Publication : MuthulakshmiMuthunayagam, KavithaGanesan, “Cardiovascular Disorder Severity Detection Using Myocardial Anatomic Features Based Optimized Extreme Learning Machine Approach”, IRBM, Elsevier, In Press, Corrected Proof, Available online 25 June 2020. https://doi.org/10.1016/j.irbm.2020.06.004 (Impact Factor: 1.856)
Publisher : IRBM, Elsevier
Year : 2018
Analysis of Myocardial Ischemia from Cardiac Magnetic Resonance Images Using Adaptive Fuzzy-Based Multiphase Level Set
Cite this Research Publication : Muthulakshmi M., Kavitha G. (2018) Analysis of Myocardial Ischemia from Cardiac Magnetic Resonance Images Using Adaptive Fuzzy-Based Multiphase Level Set. In: Nandi A., Sujatha N., Menaka R., Alex J. (eds) Computational Signal Processing and Analysis. Lecture Notes in Electrical Engineering, vol 490. Springer, Singapore, pp.11-22. (ISBN 978-981-10-8353-2) DOI:https://doi.org/10.1007/978-981-10-8354-9_2
Publisher : Springer
Year : 2018
Detection of Schizophrenia Disorder from Ventricle Region in MR Brain Images via Hu Moment Invariants Using Random Forest
Cite this Research Publication : Latha M., Muthulakshmi M., Kavitha G. (2018) Detection of Schizophrenia Disorder from Ventricle Region in MR Brain Images via Hu Moment Invariants Using Random Forest. In: Bhattacharyya S., Gandhi T., Sharma K., Dutta P. (eds) Advanced Computational and Communication Paradigms. Lecture Notes in Electrical Engineering, vol 475. Springer, Singapore, pp. 213-223. https://doi.org/10.1007/978-981-10-8240-5_24 (ISBN 978-981-10-8239-9)
Publisher : Springer