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2020 – today
- 2024
[j14]A. Bharathi, Rigved Sanku, M. Sridevi, S. Manusubramanian, S. Kumar Chandar:
Real-time human action prediction using pose estimation with attention-based LSTM network. Signal Image Video Process. 18(4): 3255-3264 (2024)- [j13]Rachel Selva Dhanaraj
, M. Sridevi:
Localize the Copy-Move Forged Region of an Image Using Improved SIFT. SN Comput. Sci. 5(1): 71 (2024) - [j12]Rachel Selva Dhanaraj, M. Sridevi:
Building a Robust and Efficient Defensive System Using Hybrid Adversarial Attack. IEEE Trans. Artif. Intell. 5(9): 4470-4478 (2024) - 2023
- [j11]A. Bharathi, M. Sridevi:
Human action recognition in complex live videos using graph convolutional network. Comput. Electr. Eng. 110: 108844 (2023) - 2021
- [j10]Madichetty Sreenivasulu, M. Sridevi:
A novel method for identifying the damage assessment tweets during disaster. Future Gener. Comput. Syst. 116: 440-454 (2021) - [j9]Madichetty Sreenivasulu, M. Sridevi:
A stacked convolutional neural network for detecting the resource tweets during a disaster. Multim. Tools Appl. 80(3): 3927-3949 (2021) - [j8]Madichetty Sreenivasulu, M. Sridevi:
A Neural-Based Approach for Detecting the Situational Information From Twitter During Disaster. IEEE Trans. Comput. Soc. Syst. 8(4): 870-880 (2021) - 2020
- [j7]Madichetty Sreenivasulu, M. Sridevi:
Comparative study of statistical features to detect the target event during disaster. Big Data Min. Anal. 3(2): 121-130 (2020) - [j6]Madichetty Sreenivasulu, M. Sridevi:
Classifying informative and non-informative tweets from the twitter by adapting image features during disaster. Multim. Tools Appl. 79(39-40): 28901-28923 (2020) - [j5]Madichetty Sreenivasulu, M. Sridevi:
Identification of medical resource tweets using Majority Voting-based Ensemble during disaster. Soc. Netw. Anal. Min. 10(1): 66 (2020)
2010 – 2019
- 2019
- [j4]M. Sridevi, C. Mala:
Self-organizing neural networks for image segmentation based on multiphase active contour. Neural Comput. Appl. 31(S-2): 865-876 (2019) - [j3]Madichetty Sreenivasulu, M. Sridevi:
Disaster damage assessment from the tweets using the combination of statistical features and informative words. Soc. Netw. Anal. Min. 9(1): 42:1-42:11 (2019) - [c8]Madichetty Sreenivasulu, M. Sridevi:
Detecting Informative Tweets during Disaster using Deep Neural Networks. COMSNETS 2019: 709-713 - [i2]Shubhendra Pal Singhal, M. Sridevi, N. Sathya Narayanan, M. J. Shankar Raman:
Porting of eChronos RTOS on RISC-V Architecture. CoRR abs/1908.11648 (2019) - [i1]Shubhendra Pal Singhal, M. Sridevi:
Comparative study of performance of parallel Alpha Beta Pruning for different architectures. CoRR abs/1908.11660 (2019) - 2018
- [c7]Pavan Dongare, M. Sridevi:
Semitransparency Effect in a Video Using Deep Learning Approach. ICACDS (2) 2018: 564-573 - 2017
- [c6]Madichetty Sreenivasulu, M. Sridevi:
Mining Informative Words from the Tweets for Detecting the Resources During Disaster. MIKE 2017: 348-358 - 2016
- [j2]C. Mala, M. Sridevi:
Multilevel threshold selection for image segmentation using soft computing techniques. Soft Comput. 20(5): 1793-1810 (2016) - [c5]M. Sridevi, C. Mala, S. Lakshmi Prabha:
A Discrete Wavelet Transformation Based Fast and Secure Transmission of Images for Group Communication. MobiSec 2016: 80-94 - 2015
- [j1]M. Sridevi, C. Mala, Siddhant Sanyam:
Optimised template matching techniques in parallel environment with exhaustive search and swarm intelligence. Int. J. Parallel Emergent Distributed Syst. 30(2): 118-134 (2015) - 2014
- [c4]C. Mala, M. Sridevi:
Parallel Algorithms for Edge Detection in an Image. NBiS 2014: 23-30 - [c3]M. Sridevi, C. Mala, E. Sivasankar, Ilsun You:
Optimized Multilevel Threshold Selection Using Evolutionary Computing. NBiS 2014: 149-156 - 2011
- [c2]Narendran Rajagopalan, C. Mala, M. Sridevi, R. Hari Prasath:
Optimized Channel Allocation Using Genetic Algorithm and Artificial Neural Networks. SocProS (1) 2011: 645-655
2000 – 2009
- 2009
- [c1]P. T. V. Bhuvaneswari, M. Sridevi:
Performance Evaluation of MMSE Based Data Aggregation in Wireless Sensor Networks. ICWN 2009: 664-668
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