S. Murugavalli
Orcid: 0000-0003-3827-8596
According to our database1,
S. Murugavalli
authored at least 14 papers
between 2014 and 2025.
Collaborative distances:
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Bibliography
2025
Novel hybrid optimization based adaptive deep convolution neural network approach for human activity recognition system.
Multim. Tools Appl., March, 2025
Sign language video to text conversion via optimised LSTM with improved motion estimation.
J. Exp. Theor. Artif. Intell., January, 2025
Development of language education optimisation algorithm and adaptive shuffle attention Net-V2 for classification of breast cancer.
Int. J. Ad Hoc Ubiquitous Comput., 2025
2024
IFATA-Deep net: Improved invasive feedback artificial tree algorithm with deep quantum neural network for root disease classification.
Concurr. Comput. Pract. Exp., March, 2024
2023
RIFATA: Remora improved invasive feedback artificial tree algorithm-enabled hybrid deep learning approach for root disease classification.
Biomed. Signal Process. Control., April, 2023
Adaptive neuro-fuzzy inference system and particle swarm optimization: A modern paradigm for securing VANETs.
IET Commun., 2023
2022
Autonomous detection of malevolent nodes using secure heterogeneous cluster protocol.
Comput. Electr. Eng., 2022
2021
Wirel. Pers. Commun., 2021
Creation of original Tamil character dataset through segregation of ancient palm leaf manuscripts in medicine.
Expert Syst. J. Knowl. Eng., 2021
2017
Privacy preservation and protection for cluster based geographic routing protocol in MANET.
Wirel. Networks, 2017
An efficient retrieval using edge GLCM and association rule mining guided IPSO based artificial neural network.
Multim. Tools Appl., 2017
2016
Brain tumour classification using two-tier classifier with adaptive segmentation technique.
IET Comput. Vis., 2016
2014
Image Retrieval using certain Block based difference of inverse Probability and certain Block based variation of Local Correlation coefficients Integrated with wavelet moments.
J. Comput. Sci., 2014
Brain tumor Classification based on Clustered discrete cosine transform in Compressed Domain.
J. Comput. Sci., 2014