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Journal Articles
- 2024
[j16]Vinoth Rathinam
, R. Sasireka, K. Valarmathi:
An Adaptive Fuzzy C-Means segmentation and deep learning model for efficient mammogram classification using VGG-Net. Biomed. Signal Process. Control. 88(Part B): 105617 (2024)- [j15]C. Jackulin, S. Murugavalli, K. Valarmathi:
IFATA-Deep net: Improved invasive feedback artificial tree algorithm with deep quantum neural network for root disease classification. Concurr. Comput. Pract. Exp. 36(6) (2024) - [j14]S. Meera, K. Valarmathi:
Optimizing cloud resource allocation: A long short-term memory and DForest-based load balancing approach. J. Intell. Fuzzy Syst. 46(1): 2311-2330 (2024) - [j13]K. Muthulakshmi, K. Valarmathi:
A secure video data streaming model using modified firefly and SVD technique. Multim. Syst. 30(2): 86 (2024) - [j12]K. Muthulakshmi, K. Valarmathi:
Analysis of Watermarked Video Optimization and Training Based on Classification Using Deep Learning Techniques. SN Comput. Sci. 5(2): 220 (2024) - [j11]K. Valarmathi, J. Seetha, N. V. Krishnamoorthy, M. Hema, G. Ramkumar:
An integrated energy storage framework with significant energy management and absorption mechanism for machine learning assisted electric vehicle application. Sustain. Comput. Informatics Syst. 42: 100982 (2024) - 2023
- [j10]C. Jackulin, S. Murugavalli, K. Valarmathi:
RIFATA: Remora improved invasive feedback artificial tree algorithm-enabled hybrid deep learning approach for root disease classification. Biomed. Signal Process. Control. 82: 104578 (2023) - [j9]R. Meena Prakash, R. Shantha Selva Kumari, K. Valarmathi, K. Ramalakshmi:
Classification of brain tumours from MR images with an enhanced deep learning approach using densely connected convolutional network. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 11(2): 266-277 (2023) - [j8]S. Jeevitha, K. Valarmathi:
A joint segmentation and classification framework for COVID-19 infection segmentation and detection from chest CT images. Int. J. Imaging Syst. Technol. 33(3): 789-806 (2023) - 2021
- [j7]K. Valarmathi, S. Kanaga Suba Raja:
Resource utilization prediction technique in cloud using knowledge based ensemble random forest with LSTM model. Concurr. Eng. Res. Appl. 29(4): 396-404 (2021) - [j6]P. Ravikumaran, K. Vimala Devi, K. Valarmathi:
An Improved Kidney Tumor Prediction Using Deep Convolutional Neural Network-Restricted Boltzmann Machine Technique in Medical Image Segmentation. J. Medical Imaging Health Informatics 11(12): 3191-3198 (2021) - 2020
- [j5]Mariappan Rajashanthi, K. Valarmathi:
Energy-efficient multipath routing in networking aid of clustering with OGFSO algorithm. Soft Comput. 24(17): 12845-12854 (2020) - [j4]Mariappan Rajashanthi, K. Valarmathi:
A Secure Trusted Multipath Routing and Optimal Fuzzy Logic for Enhancing QoS in MANETs. Wirel. Pers. Commun. 112(1): 75-90 (2020) - 2016
- [j3]Saravanakumar Gurusamy, K. Valarmathi, M. Willjuice Iruthayarajan, Seshadhri Srinivasan:
Lagrangian-based state transition algorithm for tuning multivariable decentralised controller. Int. J. Adv. Intell. Paradigms 8(3): 303-317 (2016) - 2011
- [j2]K. Valarmathi, J. Kanmani, D. Devaraj, Thota K. Radhakrishnan:
Swarm intelligence based system identification and controller tuning. Int. J. Comput. Aided Eng. Technol. 3(5/6): 443-457 (2011) - [j1]K. Valarmathi, N. Malmurugan:
Distributed multichannel assignment with congestion control in wireless mesh networks. Int. J. Commun. Syst. 24(12): 1584-1594 (2011)
Conference and Workshop Papers
- 2005
- [c1]K. Valarmathi, D. Devaraj, Thota K. Radhakrishnan:
Particle Swarm Optimization based PI controller tuning for Fermentation Process. CIMCA/IAWTIC 2005: 1043-1048
Informal and Other Publications
- 2010
- [i1]K. Valarmathi, N. Malmurugan:
Joint Design of Congestion Control Routing With Distributed Multi Channel Assignment in Wireless Mesh Networks. CoRR abs/1004.1774 (2010)
Coauthor Index
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