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Dr. N.Sriraam
Dr. N.Sriraam
Dirección de correo verificada de msrit.edu
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Citado por
Citado por
Año
Approximate entropy-based epileptic EEG detection using artificial neural networks
V Srinivasan, C Eswaran, N Sriraam
IEEE Transactions on information Technology in Biomedicine 11 (3), 288-295, 2007
7532007
Artificial neural network based epileptic detection using time-domain and frequency-domain features
V Srinivasan, C Eswaran, N Sriraam
Journal of Medical Systems 29, 647-660, 2005
5382005
EEG based multi-class seizure type classification using convolutional neural network and transfer learning
S Raghu, N Sriraam, Y Temel, SV Rao, PL Kubben
Neural Networks 124, 202-212, 2020
3192020
Entropies based detection of epileptic seizures with artificial neural network classifiers
SP Kumar, N Sriraam, PG Benakop, BC Jinaga
Expert Systems with Applications 37 (4), 3284-3291, 2010
2172010
Classification of focal and non-focal EEG signals using neighborhood component analysis and machine learning algorithms
S Raghu, N Sriraam
Expert Systems with Applications 113, 18-32, 2018
2052018
K. Bhoopathy bagan and N. Sriraam,(2011)“Image encryption based on diffusion and multiple chaotic maps”
GA Sathishkumar
International Journal of Network Security & its Applications 3 (2), 181-194, 2011
123*2011
A novel approach for classification of epileptic seizures using matrix determinant
S Raghu, N Sriraam, AS Hegde, PL Kubben
Expert Systems with Applications 127, 323-341, 2019
1072019
Performance evaluation of DWT based sigmoid entropy in time and frequency domains for automated detection of epileptic seizures using SVM classifier
S Raghu, N Sriraam, Y Temel, SV Rao, AS Hegde, PL Kubben
Computers in biology and medicine 110, 127-143, 2019
1072019
The effect of temperature on the reliability of electronic components
V Lakshminarayanan, N Sriraam
2014 IEEE international conference on electronics, computing and …, 2014
1012014
Optimal configuration of multilayer perceptron neural network classifier for recognition of intracranial epileptic seizures
S Raghu, N Sriraam
Expert Systems with Applications 89, 205-221, 2017
992017
Classification of focal and non focal epileptic seizures using multi-features and SVM classifier
N Sriraam, S Raghu
Journal of medical systems 41 (10), 160, 2017
912017
Classification of epileptic seizures using wavelet packet log energy and norm entropies with recurrent Elman neural network classifier
S Raghu, N Sriraam, GP Kumar
Cognitive neurodynamics 11, 51-66, 2017
872017
3-D medical image compression using 3-D wavelet coders
N Sriraam, R Shyamsunder
Digital signal processing 21 (1), 100-109, 2011
782011
A novel approach for real-time recognition of epileptic seizures using minimum variance modified fuzzy entropy
S Raghu, N Sriraam, GP Kumar, AS Hegde
IEEE Transactions on Biomedical Engineering 65 (11), 2612-2621, 2018
642018
Performance evaluation of neural network and linear predictors for near-lossless compression of EEG signals
N Sriraam, C Eswaran
IEEE Transactions on Information Technology in Biomedicine 12 (1), 87-93, 2008
632008
Automated detection of epileptic seizures using successive decomposition index and support vector machine classifier in long-term EEG
S Raghu, N Sriraam, S Vasudeva Rao, AS Hegde, PL Kubben
Neural Computing and Applications 32, 8965-8984, 2020
522020
Internet transmission of DICOM images with effective low bandwidth utilization
B Ramakrishnan, N Sriraam
Digital signal processing 16 (6), 825-831, 2006
522006
Correlation dimension based lossless compression of EEG signals
N Sriraam
Biomedical Signal Processing and Control 7 (4), 379-388, 2012
472012
An adaptive error modeling scheme for the lossless compression of EEG signals
N Sriraam, C Eswaran
IEEE Transactions on Information Technology in Biomedicine 12 (5), 587-594, 2008
462008
EEG based detection of alcoholics using spectral entropy with neural network classifiers
P T.K, N Sriraam
Biomedical Engineering (ICoBE), 2012 International Conference on, 89-93, 2012
42*2012
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Artículos 1–20