Dr. Atluri Lakshmi
Assistant Professor
lakshmi.a@bvrithyderabad.edu.in
AICTE ID: 1-7447676205
JNTUH ID: 6370-150427-160109
Ratified Status: Ratified
Ph.D.: Quality Evaluation of Hybrid Latent Semantic Analysis with Text Rank Extractive Text Summarization and Hunter Sail Fish Optimizer enabled Deep Learning Abstractive Text Summarization on Telugu E-News Articles, Adikavi Nannaya University, 2024
M.Tech.: A Fuzzy Approach for Classification of Remote Sensing Data Based on Genetic Algorithm, JNTUH, 2013
B.Tech.: JNTUH, 2010
Teaching Experience: 6 Years
Research Experience: 4 Years
Industry Experience: Nil
Scopus ID: 58445205700
WoS ID: LRC-2277-2024
Google Scholar ID: user=wIrx_LcAAAAJ&hl=en
Vidwan ID: 528797
ORCID ID: 0000-0003-3403-5175
Machine Learning, Natural Language Processing
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- A. Lakshmi and D. Latha, “HSFO: Hunter Sail Fish Optimizer enabled deep learning for single document abstractive summarization based on semantic role labeling for Telugu text,” NEUROQUANTOLOGY, vol. 20, no. 22, pp. 4357–4374, 2022, doi: 10.48047/NQ.2022.20.22. NQ10436.
- Aluri.Lakshmi, D.Latha. “DEEP LEARNING FRAMEWORK OF ABSTRACTIVE SUMMARIZATION BASED ON SEMANTIC ROLE LABELLING OF,” vol. 7, no. 12, pp. 679–690, 2022, doi:10.27896/METSZET7.12/73.
- Sulakshana, G., Siva, R., Lakshmi, A.: Detection of Hate Speech and offensive Language on Sentiment Analysis using Machine Learning Techniques. Int. J. Innov. Technol. Explor. Eng. 9, 136–139 (2020). https://doi.org/10.35940/ijitee.e1985.039520.
- Srividya, C., Lakshmi, A., Umadatta, A.: Safe and Trustworthy VMS for Cloud Computing Applications. 118, 635–644 (2018).
- Lakshmi, A., Latha, D. (2023). A Hybrid Model of Latent Semantic Analysis with Graph-Based Text Summarization on Telugu Text. In: Bhateja, V., Sunitha, K.V.N., Chen, YW., Zhang, YD. (eds) Intelligent System Design. Lecture Notes in Networks and Systems, vol 494. Springer, Singapore. https://doi.org/10.1007/978-981-19-4863-3_17
- A. Lakshmi and D. Latha, “Automatic Text Summarization for Telugu Language,” 2021 4th International Conference on Recent Trends in Computer Science and Technology (ICRTCST), 2022, pp. 223-227, doi: 10.1109/ICRTCST54752.2022.9781921.
- Jayanthi, N., Lakshmi, A., Raju, C.S.K., Swathi, B.: Dual translation of international and Indian regional language using recent machine translation. Proc. 3rd Int. Conf. Intell. Sustain. Syst. ICISS 2020. 682–686 (2020).
1.Enhancing Cross-Linguistic Communication: Neural Machine Translation from English to Telugu Using Transformer Models, Application No: 202441058782, Published on: 09/08/2024
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ISTE Life Time
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18
NAAC Criteria 3, NBA Criteria 5, R&D Coordinator
