| Speech Emotion Recognition Approaches in Human Computer Interaction S Ramakrishnan, IMME Emary Springer- Telecommunication Systems, Springer, OnLine First, 2011 | 116 | 2011 |
| SVD-based modeling for image texture classification using wavelet transformation S Selvan, S Ramakrishnan IEEE transactions on image processing 16 (11), 2688-2696, 2007 | 109 | 2007 |
| On the application of various probabilistic neural networks in solving different pattern classification problems IMM El Emary, S Ramakrishnan World Applied Sciences Journal 4 (6), 772-780, 2008 | 101 | 2008 |
| Wireless Sensor Networks: From Theory to Applications IMMEE Ramakrishnan S CRC Press, Taylor & Francis Group,1st Edition, ISBN 9780429086922, DOI:10 …, 2013 | 98* | 2013 |
| Wireless Sensor Networks: From Theory to Applications(ISBN 9781466518100) RSIMME Emary CRC Press, Taylor & Francis Group, USA, 2013 | 98* | 2013 |
| Recognition of Emotion from Speech: A Review Ramakrishnan S InTech Publisher, Speech Enhancement, Modeling and Recognition- Algorithms …, 2012 | 64 | 2012 |
| Recognition of Emotion from Speech: A Review S Ramakrishnan SPEECH ENHANCEMENT, MODELING AND RECOGNITION–ALGORITHMS AND APPLICATIONS, 121, 2012 | 64 | 2012 |
| Hierarchical multi-class SVM with ELM kernel for epileptic EEG signal classification ASM Murugavel, S Ramakrishnan Springer- Medical & biological engineering & computing 54 (1), 149-161, 2016 | 54 | 2016 |
| PERFORMANCE COMPARISON FOR INTRUSION DETECTION SYSTEM USING NEURAL NETWORK WITH KDD DATASET. S Devaraju, S Ramakrishnan ICTACT Journal on Soft Computing 4 (3), 2014 | 53 | 2014 |
| Speech encryption using chaotic shift keying for secured speech communication P Sathiyamurthi, S Ramakrishnan EURASIP Journal on Audio, Speech, and Music Processing-Springer 2017 (1), 20, 2017 | 44 | 2017 |
| Performance analysis of intrusion detection system using various neural network classifiers S Devaraju, S Ramakrishnan 2011 international conference on recent trends in information technology …, 2011 | 44 | 2011 |
| Image texture classification using wavelet based curve fitting and probabilistic neural network S Ramakrishnan, S Selvan International Journal of Imaging Systems and Technology 17 (4), 266-275, 2007 | 36 | 2007 |
| Comparative study between traditional and modified probabilistic neural networks S Ramakrishnan, IMM El Emary Springer-Telecommunication Systems 40 (1-2), 67-74, 2009 | 30 | 2009 |
| Detection of accuracy for intrusion detection system using neural network classifier S Devaraju, S Ramakrishnan International Journal of Emerging Technology and Advanced Engineering 3 (1 …, 2013 | 29 | 2013 |
| Svd based robust digital watermarking for still images using wavelet transform S Ramakrishnan, T Gopalakrishnan, K Balasamy CCSEA 2011, CS & IT 02, 155-167, 2011 | 25 | 2011 |
| Attack’s Feature Selection-Based Network Intrusion Detection System Using Fuzzy Control Language S Ramakrishnan, S Devaraju Springer -International Journal of Fuzzy Systems, 1-13, 2016 | 21 | 2016 |
| System and method for order-preserving encryption for numeric data R Agrawal, GG Kiernan, S Ramakrishnan, Y Xu US Patent 7,873,840, 2011 | 21 | 2011 |
| An optimized extreme learning machine for epileptic seizure detection ASM Murugavel, S Ramakrishnan Int. J. Comput. Sci 41 (4), 212-221, 2014 | 20 | 2014 |
| A Comparative Performance Evaluation of Supervised Feature Selection Algorithms on Microarray Datasets CA Kumar, MP Sooraj, S Ramakrishnan Procedia Computer Science-Elsevier 115, 209-217, 2017 | 18 | 2017 |
| Binary Classification of cancer microarray gene expression data using extreme learning machines CA Kumar, S Ramakrishnan 2014 IEEE International Conference on Computational Intelligence and …, 2014 | 18 | 2014 |
Ibrahiem El EmaryProfessor of computer science and systemsVerified email at kau.edu.sa
