| Detecting informative tweets during disaster using deep neural networks S Madichetty, M Sridevi 2019 11th international conference on communication systems & networks …, 2019 | 56 | 2019 |
| Comparative study of image forgery and copy-move techniques M Sridevi, C Mala, S Sanyam Advances in Computer Science, Engineering & Applications: Proceedings of the …, 2012 | 56 | 2012 |
| A stacked convolutional neural network for detecting the resource tweets during a disaster S Madichetty Multimedia tools and applications 80 (3), 3927-3949, 2021 | 43 | 2021 |
| Multilevel threshold selection for image segmentation using soft computing techniques C Mala, M Sridevi Soft Computing 20, 1793-1810, 2016 | 42 | 2016 |
| A survey on monochrome image segmentation methods M Sridevi, C Mala Procedia Technology 6, 548-555, 2012 | 38 | 2012 |
| Copy–move image forgery detection in a parallel environment M Sridevi, C Mala, S Sandeep, N Meghanathan Proceedings of Im age and Signal Processing, Cisp 9, 2012 | 37 | 2012 |
| Classifying informative and non-informative tweets from the twitter by adapting image features during disaster S Madichetty Multimedia Tools and Applications 79 (39), 28901-28923, 2020 | 34 | 2020 |
| Multi-modal classification of Twitter data during disasters for humanitarian response S Madichetty, S Muthukumarasamy, P Jayadev Journal of ambient intelligence and humanized computing 12, 10223-10237, 2021 | 33 | 2021 |
| An experimental study and analysis of different image segmentation techniques SU Mageswari, M Sridevi, C Mala Procedia engineering 64, 36-45, 2013 | 31 | 2013 |
| Comparative study of statistical features to detect the target event during disaster M Sreenivasulu, M Sridevi Big Data Mining and Analytics 3 (2), 121-130, 2020 | 30 | 2020 |
| Video summarization using highlight detection and pairwise deep ranking model M Sridevi, M Kharde Procedia Computer Science 167, 1839-1848, 2020 | 30 | 2020 |
| Disaster damage assessment from the tweets using the combination of statistical features and informative words S Madichetty, M Sridevi Social Network Analysis and Mining 9 (1), 42, 2019 | 29 | 2019 |
| A novel method for identifying the damage assessment tweets during disaster S Madichetty, M Sridevi Future Generation Computer Systems 116, 440-454, 2021 | 28 | 2021 |
| Improved classification of crisis-related data on Twitter using contextual representations S Madichetty, M Sridevi Procedia computer science 167, 962-968, 2020 | 27 | 2020 |
| Anomaly Detection by Using CFS Subset and Neural Network with WEKA Tools M Sridevi, S Aishwarya, A Nidheesha, D Bokadia Springer Singapore. https://doi. org/10.1007/978-981-13-1747-7, 2017 | 26 | 2017 |
| A novel facial emotion recognition model using segmentation VGG-19 architecture S Vignesh, M Savithadevi, M Sridevi, R Sridhar International Journal of Information Technology 15 (4), 1777-1787, 2023 | 25 | 2023 |
| Identification of medical resource tweets using majority voting-based ensemble during disaster S Madichetty Social Network Analysis and Mining 10 (1), 66, 2020 | 24 | 2020 |
| Detection of situational information from Twitter during disaster using deep learning models S Madichetty, S Muthukumarasamy Sādhanā 45 (1), 270, 2020 | 21 | 2020 |
| A neural-based approach for detecting the situational information from Twitter during disaster S Madichetty, M Sridevi IEEE Transactions on Computational Social Systems 8 (4), 870-880, 2021 | 19 | 2021 |
| Mining informative words from the tweets for detecting the resources during disaster M Sreenivasulu, M Sridevi Mining Intelligence and Knowledge Exploration: 5th International Conference …, 2017 | 18 | 2017 |
