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 : Muthunayagam Muthulakshmi, GanesanKavitha. Identification of systolic and diastolic heart failure progression with Krawtchouk moment feature-aided Harris hawks optimized support vector machine. SIViP, Springer, In Press, Corrected Proof, Available online 2 July 2021 (2021). https://doi.org/10.1007/s11760-021-01978-3 (Impact Factor: 2.157)
Publisher : SIViP, Springer
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
Year : 2013
Design of Low Power and High Speed Reversible Multiplier
Cite this Research Publication : G. Kanagavalli and M. Muthulakshmi, “Design of Low Power and High Speed Reversible Multiplier”,CiiT International Journal of Programmable Device Circuits and Systems,Vol. 5, No 6, pp. 252-255, ISSN 0974 – 9624, June 2013.
Publisher : CiiT International Journal of Programmable Device Circuits and Systems
Year : 2012
Memetic Algorithm based Parameter Extraction for SOI MOSFET
Cite this Research Publication : M.Muthulakshmi, L. Sheela, “Memetic Algorithm based Parameter Extraction for SOI MOSFET”, In Proc. of National Conference on Advanced VLSI, Image processing and Communication Systems (NAVICS), pp.5-9, 2012.
Publisher : NAVICS
Year : 2012
Parameter Extraction for BSIMSOI4.3 MOSFET Model
Cite this Research Publication : M.Muthulakshmi, L. Sheela, “Parameter Extraction for BSIMSOI4.3 MOSFET Model”, International Journal for Scientific and Engineering Research (IJSER) (ISSN 2229-5518), Vol. 3(5), pp. 270-274, 2012
Publisher : IJSER