| Musical instrument emotion recognition using deep recurrent neural network S Rajesh, NJ Nalini Procedia Computer Science 167, 16-25, 2020 | 60 | 2020 |
| Music emotion recognition: The combined evidence of MFCC and residual phase NJ Nalini, S Palanivel Egyptian Informatics Journal 17 (1), 1-10, 2016 | 58 | 2016 |
| Efficient smart emergency response system for fire hazards using IoT LP Maguluri, T Srinivasarao, M Syamala, R Ragupathy, NJ Nalini International journal of Advanced computer science and applications 9 (1), 2018 | 38 | 2018 |
| A deep analysis on aspect based sentiment text classification approaches M Syamala, NJ Nalini International Journal of Advanced Trends in Computer Science and Engineering …, 2019 | 33 | 2019 |
| Grain size measurement in optical microstructure using support vector regression K Gajalakshmi, S Palanivel, NJ Nalini, S Saravanan, K Raghukandan Optik 138, 320-327, 2017 | 31 | 2017 |
| A Filter Based Improved Decision Tree Sentiment Classification Model for Real-Time Amazon Product Review Data. M Syamala, NJ Nalini International Journal of Intelligent Engineering & Systems 13 (1), 2020 | 30 | 2020 |
| Emotion recognition in music signal using AANN and SVM NJ Nalini, S Palanivel International Journal of Computer Applications 77 (2), 2013 | 16 | 2013 |
| Singer identification using MFCC and CRP features with support vector machines R Sangeetha, NJ Nalini Computational Intelligence in Pattern Recognition: Proceedings of CIPR 2019 …, 2020 | 15 | 2020 |
| Speech emotion recognition using residual phase and MFCC features NJ Nalini, S Palanivel, M Balasubramanian International Journal of Engineering and Technology 5 (6), 4515-4527, 2013 | 13 | 2013 |
| Automatic classification of cast iron grades using support vector machine K Gajalakshmi, S Palanivel, NJ Nalini, S Saravanan Optik 157, 724-732, 2018 | 8 | 2018 |
| LDA and deep learning: a combined approach for feature extraction and sentiment analysis M Syamala, NJ Nalini 2019 10th International Conference on Computing, Communication and …, 2019 | 6 | 2019 |
| A speech-based sentiment analysis using combined Deep learning and language model on real-time product review M Syamala, NJ Nalini International Journal of Engineering Trends and Technology 69 (1), 172-178, 2021 | 4 | 2021 |
| Recognition of musical instrument using deep learning techniques S Rajesh, NJ Nalini International Journal of Information Retrieval Research (IJIRR) 11 (4), 41-60, 2021 | 3 | 2021 |
| ABSA: Computational Measurement Analysis Approach for Prognosticated Aspect Extraction System. M Syamala, NJ Nalini TEM Journal 10 (1), 2021 | 3 | 2021 |
| Combined evidence of MFCC and CRP features using machine learning algorithms for singer identification S Rajesh, NJ Nalini International Journal of Pattern Recognition and Artificial Intelligence 35 …, 2021 | 3 | 2021 |
| Comparative Analysis of Document level Text Classification Algorithms using R M Syamala, NJ Nalini, L Maguluri, R Ragupathy IOP Conference Series: Materials Science and Engineering 225 (1), 012076, 2017 | 2 | 2017 |
| Supervised Learning Based HDFS Replication Management System R Ilakiyaa, NJ Nalini 2017 International Conference on Technical Advancements in Computers and …, 2017 | 2 | 2017 |
| Polyphonic Instrument Emotion Recognition using Stacked Auto Encoders: A Dimensionality Reduction Approach S Rajesh, NJ Nalini Procedia Computer Science 218, 1905-1914, 2023 | 1 | 2023 |
| A Systematic Study About EEG Signal Data and Computer Aided Models for the Diagnosis of Alzheimer's Disease P Saroja, NJ Nalini Computational Methods and Data Engineering: Proceedings of ICCMDE 2021, 519-531, 2022 | 1 | 2022 |
| Speech emotion recognition using MFCC and AANN N Nalini, A Chakraborty Proc. International Conference on Engineering and Technology, 223-225, 2013 | 1 | 2013 |
Maganti SyamalaASSSISTANT PROFESSORVerified email at kluniversity.in
