K. Valarmathi - researchr alias

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Viewing Publication 1 - 19 from 19

2024

IFATA-Deep net: Improved invasive feedback artificial tree algorithm with deep quantum neural network for root disease classificationC. Jackulin, S. Murugavalli, K. Valarmathi. concurrency, 36(6), March 2024. [doi]

Optimizing cloud resource allocation: A long short-term memory and DForest-based load balancing approachS. Meera, K. Valarmathi. jifs, 46(1):2311-2330, January 2024. [doi]

A secure video data streaming model using modified firefly and SVD techniqueK. Muthulakshmi, K. Valarmathi. mms, 30(2):86, April 2024. [doi]

Analysis of Watermarked Video Optimization and Training Based on Classification Using Deep Learning TechniquesK. Muthulakshmi, K. Valarmathi. sncs, 5(2):220, 2024. [doi]

An Adaptive Fuzzy C-Means segmentation and deep learning model for efficient mammogram classification using VGG-NetVinoth Rathinam, R. Sasireka, K. Valarmathi. bspc, 88(Part B):105617, February 2024. [doi]

2023

RIFATA: Remora improved invasive feedback artificial tree algorithm-enabled hybrid deep learning approach for root disease classificationC. Jackulin, S. Murugavalli, K. Valarmathi. bspc, 82:104578, April 2023. [doi]

A joint segmentation and classification framework for COVID-19 infection segmentation and detection from chest CT imagesS. Jeevitha, K. Valarmathi. imst, 33(3):789-806, May 2023. [doi]

Classification of brain tumours from MR images with an enhanced deep learning approach using densely connected convolutional networkR. Meena Prakash, R. Shantha Selva Kumari, K. Valarmathi, K. Ramalakshmi. cmbbeiv, 11(2):266-277, March 2023. [doi]

2021

An Improved Kidney Tumor Prediction Using Deep Convolutional Neural Network-Restricted Boltzmann Machine Technique in Medical Image SegmentationP. Ravikumaran, K. Vimala Devi, K. Valarmathi. jmihi, 11(12):3191-3198, 2021. [doi]

Resource utilization prediction technique in cloud using knowledge based ensemble random forest with LSTM modelK. Valarmathi, S. Kanaga Suba Raja. cera, 29(4):396-404, 2021. [doi]

2020

2019

An approach to enhance packet classification performance of software-defined network using deep learningB. Indira, K. Valarmathi, D. Devaraj. soco, 23(18):8609-8619, 2019. [doi]

2016

Lagrangian-based state transition algorithm for tuning multivariable decentralised controllerG. Saravanakumar, K. Valarmathi, M. Willjuice Iruthayarajan, Seshadhri Srinivasan. ijaip, 8(3):303-317, 2016. [doi]

2011

Swarm intelligence based system identification and controller tuningK. Valarmathi, J. Kanmani, D. Devaraj, T. K. Radhakrishnan. ijcaet, 3(5/6):443-457, 2011. [doi]

Distributed multichannel assignment with congestion control in wireless mesh networksK. Valarmathi, N. Malmurugan. ijcomsys, 24(12):1584-1594, 2011. [doi]

2005

Particle Swarm Optimization based PI controller tuning for Fermentation ProcessK. Valarmathi, D. Devaraj, T. K. Radhakrishnan. cimca 2005: 1043-1048

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