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Dr. Lakshmi K.S.
Ph.D, M.Tech. Computer and Information Science, B.Tech. Computer Science
Associate Professor
DEPARTMENT OF ARTIFICIAL INTELLIGENCE

Ms Lakshmi K.S, Assistant Professor in the Department of Information Technology has joined Rajagiri School of Engineering & Technology in December 2005. She has done her post graduation (M.Tech) in Computer and Information Science from Cochin University of Science and Technology in the year 2012. She completed her graduation (B.Tech) from College of Engineering, Kidangoor affiliated to Cochin University of Science and Technology in the year 2005. Her research interests include fields like Data Mining & Natural Language Processing.

RSET Unique Id: 31660
Area of Interest: DATA MINING, COMPUTATIONAL LINGUISTICS, BIOINFORMATICS
Email lakshmiks@rajagiritech.edu.in
Website people.rajagiritech.ac.in/lakshmiks
PUBLICATION-CONFERENCE/JOURNAL DETAILS
Year Title of the Paper-Conference/Journal Details
2022 Automated Generation of Meeting Minutes Using Deep Learning Techniques
International Journal of Computing and Digital Systems
2022 An innovative framework for extracting adverse drug reactions of single medication and combined medications from medical transcriptions and online reviews
Songklanakarin Journal of Science and Technology
2021 Container ID Detection and Recognition
ICSCSP 2020
2021 Disease and Adverse Drug Reaction Prediction using Machine Learning
International Journal of Pharmaceutical Sciences Review and Research
2021 Hybrid approach for disease comorbidity and disease gene prediction using heterogeneous dataset
International Journal of Electrical and Computer Engineering (IJECE)
2021 VECTOR BASED APPROACH FOR DISEASE COMORBIDITY PREDICTION USING HETEROGENEOUS LARGE SCALE DATASET
INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING
2021 A Hybrid Model for Prediction and Progression of COVID-19 Using Clinical Text Data and Chest X-rays
Lecture Notes in Networks and Systems
2019 Movie success prediction using ensemble classifier
Conference - International Conference on Computer Communication and Informatics (ICCCI -2020)
2019 Network based approach for discovering novel gene-phenotypic association and disease co morbidities using ontological data
International Conference on Computational Intelligence and Data Science (ICCIDS 2019)
2019 Comparative analysis of vehicle make and model recognition using deep learning techniques.
Second IEEE International Conference on Intelligent Computing Instrumentation and Control Technologies.
2019 An enhanced approach for movie review analysis using deep learning techniques
4th International Conference on Communication and Electronic Systems
2018 A Comparative Analysis of Adverse Drug Reaction Prediction Techniques
International Journal of Pharmaceutical Sciences Review and Research
2018 A novel approach for disease comorbidity prediction using weighted association rule mining
Journal of Ambient Intelligence and Humanized Computing
2018 Joint Slot Filling and Intent Prediction for Natural Language Understanding in Frames Dataset.
International Conference on Inventive Research in Computing Applications (ICIRCA 2018)
2017 Predicting hyperlipidemia using enhanced ensemble classifier
International Journal of Engineering and Technology(UAE)
2017 Extracting Association Rules from Medical Health Records Using Multi-Criteria Decision Analysis
International Conference on Advances in Computing & Communications (ICACC-2017)
2016 Gene Ontology Mining: A Survey
2014 Extending MANETRouting Protocol by adding Gateway Mode
2013 Improved Autonomous Network Reconfiguration System
2013 Link Failure Recovery using Autonomous Network Reconfiguration System in Wireless Mesh Networks
2013 Position based Anonymous Routing Scheme in MANETs
2013 Association rule extraction from medical transcripts of diabetic patients
2013 Wireless Device Localization using Vehicular Ad-Hoc Network