kamalanand krishnamurthy
kamalanand krishnamurthy
Department of Instrumentation Engineering, MIT Campus, Anna University
Verified email at - Homepage
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Mathematical modelling to assess the impact of lockdown on COVID-19 transmission in India: model development and validation
B Ambikapathy, K Krishnamurthy
JMIR public health and surveillance 6 (2), e19368, 2020
Firefly algorithm assisted segmentation of tumor from brain MRI using Tsallis function and Markov random field
V Rajinikanth, NSM Raja, K Kamalanand
Journal of Control Engineering and Applied Informatics 19 (3), 97-106, 2017
Social-Group-Optimization based tumor evaluation tool for clinical brain MRI of Flair/diffusion-weighted modality
N Dey, V Rajinikanth, F Shi, JMRS Tavares, L Moraru, KA Karthik, H Lin, ...
Biocybernetics and Biomedical Engineering 39 (3), 843-856, 2019
Implementation of deep neural networks to classify EEG signals using gramian angular summation field for epilepsy diagnosis
KP Thanaraj, B Parvathavarthini, UJ Tanik, V Rajinikanth, S Kadry, ...
arXiv preprint arXiv:2003.04534, 2020
Deep neural network assisted diagnosis of time-frequency transformed electromyograms
A Bakiya, K Kamalanand, V Rajinikanth, RS Nayak, S Kadry
Multimedia Tools and Applications 79 (15), 11051-11067, 2020
Development of systems for classification of different plasmodium species in thin blood smear microscopic images
K Manickavasagam, S Sutha, K Kamalanand
Journal of Advanced Microscopy Research 9 (2), 86-92, 2014
Geometrical analysis of schistosome egg images using distance regularized level set method for automated species identification
GK Vaishnavi, K Jeevananthan, SR Begum, K Kamalanand
Journal of Bioinformatics and Intelligent Control 3 (2), 147-152, 2014
An automated system based on 2 d empirical mode decomposition and k-means clustering for classification of Plasmodium species in thin blood smear images
K Manickavasagam, S Sutha, K Kamalanand
BMC Infectious Diseases 14 (Suppl 3), P13, 2014
Analysis of electromyograms recorded using invasive and noninvasive electrodes: a study based on entropy and Lyapunov exponents estimated using artificial neural networks
B Ambikapathy, K Krishnamurthy
Journal of Ambient Intelligence and Humanized Computing, 1-9, 2024
Firefly-algorithm supported scheme to detect COVID-19 lesion in lung ct scan images using Shannon entropy and Markov-random-field
V Rajinikanth, S Kadry, KP Thanaraj, K Kamalanand, S Seo
arXiv preprint arXiv:2004.09239, 2020
Effect of gadolinium concentration on segmentation of vasculature in cardiopulmonary magnetic resonance angiograms
K Kamalanand, S Ramakrishnan
Journal of Medical Imaging and Health Informatics 5 (1), 147-151, 2015
Assessment of electromyograms using genetic algorithm and artificial neural networks
B Ambikapathy, K Kirshnamurthy, R Venkatesan
Evolutionary Intelligence 14 (2), 261-271, 2021
Effect of electrode contact area on the information content of the recorded electrogastrograms: An analysis based on Rényi entropy and Teager-Kaiser Energy
P Alagumariappan, K Krishnamurthy, S Kandiah, MJ Ponnuswamy
Polish Journal of Medical Physics and Engineering 23 (2), 37-42, 2017
Detecting epilepsy in EEG signals using synchro-extracting-transform (SET) supported classification technique
V Rajinikanth, S Kadry, D Taniar, K Kamalanand, MA Elaziz, KP Thanaraj
Journal of Ambient Intelligence and Humanized Computing 14 (8), 10123-10141, 2023
Comparison of particle swarm and bacterial foraging optimization algorithms for therapy planning in HIV/AIDS patients
K Kamalanand, P Mannar Jawahar
International Journal of Biomathematics 9 (02), 1650024, 2016
Coupled jumping frogs/particle swarm optimization for estimating the parameters of three dimensional HIV model
K Kamalanand, PM Jawahar
BMC Infectious Diseases 12 (Suppl 1), P82, 2012
Complexity analysis on normal and abnormal electrogastrograms using Tsallis entropy
P Alagumariappan, A Rajagopal, K Krishnamurthy
3rd international electronic and flipped conference on entropy and its …, 2016
Prediction of human immunodeficiency virus-1 viral load from CD4 cell count using artificial neural networks
K Kamalanand, PM Jawahar
Journal of Medical Imaging and Health Informatics 5 (3), 641-646, 2015
An approach based on information theory for selection of systems for efficient recording of electrogastrograms
P Alagumariappan, K Krishnamurthy
Proceedings of the International Conference on Computing and Communication …, 2018
Prediction of the transition from subexponential to the exponential transmission of SARS-CoV-2 in Chennai, India: epidemic nowcasting
K Krishnamurthy, B Ambikapathy, A Kumar, L De Britto
JMIR public health and surveillance 6 (3), e21152, 2020
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