K. Valarmathi

According to our database, K. Valarmathi authored at least 19 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Advancing IoT security: A novel intrusion detection system for evolving threats in industry 4.0 using optimized convolutional sparse Ficks law graph point trans-Net.

P. A. Mathina, K. Valarmathi

Comput. Secur., 2025

2024

A secure video data streaming model using modified firefly and SVD technique.

K. Muthulakshmi, K. Valarmathi

Multim. Syst., April, 2024

IFATA-Deep net: Improved invasive feedback artificial tree algorithm with deep quantum neural network for root disease classification.

C. Jackulin, S. Murugavalli, K. Valarmathi

Concurr. Comput. Pract. Exp., March, 2024

An Adaptive Fuzzy C-Means segmentation and deep learning model for efficient mammogram classification using VGG-Net.

Vinoth Rathinam, R. Sasireka, K. Valarmathi

Biomed. Signal Process. Control., February, 2024

Optimizing cloud resource allocation: A long short-term memory and DForest-based load balancing approach.

S. Meera, K. Valarmathi

J. Intell. Fuzzy Syst., January, 2024

An integrated energy storage framework with significant energy management and absorption mechanism for machine learning assisted electric vehicle application.

K. Valarmathi, J. Seetha, N. V. Krishnamoorthy, M. Hema, G. Ramkumar

Sustain. Comput. Informatics Syst., 2024

Analysis of Watermarked Video Optimization and Training Based on Classification Using Deep Learning Techniques.

K. Muthulakshmi, K. Valarmathi

SN Comput. Sci., 2024

2023

A joint segmentation and classification framework for COVID-19 infection segmentation and detection from chest CT images.

S. Jeevitha, K. Valarmathi

Int. J. Imaging Syst. Technol., May, 2023

RIFATA: Remora improved invasive feedback artificial tree algorithm-enabled hybrid deep learning approach for root disease classification.

C. Jackulin, S. Murugavalli, K. Valarmathi

Biomed. Signal Process. Control., April, 2023

Classification of brain tumours from MR images with an enhanced deep learning approach using densely connected convolutional network.

R. Meena Prakash, R. Shantha Selva Kumari, K. Valarmathi, K. Ramalakshmi

Comput. methods Biomech. Biomed. Eng. Imaging Vis., March, 2023

2021

An Improved Kidney Tumor Prediction Using Deep Convolutional Neural Network-Restricted Boltzmann Machine Technique in Medical Image Segmentation.

P. Ravikumaran, K. Vimala Devi, K. Valarmathi

J. Medical Imaging Health Informatics, 2021

Resource utilization prediction technique in cloud using knowledge based ensemble random forest with LSTM model.

K. Valarmathi, S. Kanaga Suba Raja

Concurr. Eng. Res. Appl., 2021

2020

A Secure Trusted Multipath Routing and Optimal Fuzzy Logic for Enhancing QoS in MANETs.

Mariappan Rajashanthi, K. Valarmathi

Wirel. Pers. Commun., 2020

Energy-efficient multipath routing in networking aid of clustering with OGFSO algorithm.

Mariappan Rajashanthi, K. Valarmathi

Soft Comput., 2020

2016

Lagrangian-based state transition algorithm for tuning multivariable decentralised controller.

Saravanakumar Gurusamy, K. Valarmathi, M. Willjuice Iruthayarajan, Seshadhri Srinivasan

Int. J. Adv. Intell. Paradigms, 2016

2011

Distributed multichannel assignment with congestion control in wireless mesh networks.

K. Valarmathi, N. Malmurugan

Int. J. Commun. Syst., 2011

Swarm intelligence based system identification and controller tuning.

K. Valarmathi, J. Kanmani, D. Devaraj, Thota K. Radhakrishnan

Int. J. Comput. Aided Eng. Technol., 2011

2010

Joint Design of Congestion Control Routing With Distributed Multi Channel Assignment in Wireless Mesh Networks

K. Valarmathi, N. Malmurugan

CoRR, 2010

2005

Particle Swarm Optimization based PI controller tuning for Fermentation Process.

K. Valarmathi, D. Devaraj, Thota K. Radhakrishnan

Proceedings of the 2005 International Conference on Computational Intelligence for Modelling Control and Automation (CIMCA 2005), 2005