E. Sivasankar

Orcid: 0000-0001-7906-6384

Affiliations:
  • National Institute of Technology, Department of Computer Science and Engineering, Tiruchirappalli, India


According to our database1, E. Sivasankar authored at least 33 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Utilizing social media for emergency response: a tweet classification system using attention-based BiLSTM and CNN for resource management.
Multim. Tools Appl., April, 2024

Applying social media in emergency response: an attention-based bidirectional deep learning system for location reference recognition in disaster tweets.
Appl. Intell., April, 2024

2023
BBC-FND: An ensemble of deep learning framework for textual fake news detection.
Comput. Electr. Eng., September, 2023

CTrL-FND: content-based transfer learning approach for fake news detection on social media.
Int. J. Syst. Assur. Eng. Manag., June, 2023

A hybrid deep learning framework for privacy preservation in edge computing.
Comput. Secur., June, 2023

Multimodal tweet classification in disaster response systems using transformer-based bidirectional attention model.
Neural Comput. Appl., 2023

Aspect-based summarisation in the big data environment.
Int. J. Adv. Intell. Paradigms, 2023

2022
CB-Fake: A multimodal deep learning framework for automatic fake news detection using capsule neural network and BERT.
Multim. Tools Appl., 2022

Enhancing multimodal disaster tweet classification using state-of-the-art deep learning networks.
Multim. Tools Appl., 2022

2021
An enhanced sentiment dictionary for domain adaptation with multi-domain dataset in Tamil language (ESD-DA).
Soft Comput., 2021

Analysis and prediction of breast cancer through feature selection and classification techniques.
Int. J. Medical Eng. Informatics, 2021

2020
Rough set-based feature selection for credit risk prediction using weight-adjusted boosting ensemble method.
Soft Comput., 2020

Hyperparameter tuning in convolutional neural networks for domain adaptation in sentiment classification (HTCNN-DASC).
Soft Comput., 2020

Efficient feature selection techniques for sentiment analysis.
Multim. Tools Appl., 2020

2019
A novel optimization algorithm for recommender system using modified fuzzy c-means clustering approach.
Soft Comput., 2019

Hybrid PPFCM-ANN model: an efficient system for customer churn prediction through probabilistic possibilistic fuzzy clustering and artificial neural network.
Neural Comput. Appl., 2019

A novel Adaptive Genetic Neural Network (AGNN) model for recommender systems using modified k-means clustering approach.
Multim. Tools Appl., 2019

Identification of important biomarkers for detection of chronic kidney disease using feature selection and classification algorithms.
Int. J. Medical Eng. Informatics, 2019

A study of feature selection techniques for predicting customer retention in telecommunication sector.
Int. J. Bus. Inf. Syst., 2019

A Study of Feature Extraction techniques for Sentiment Analysis.
CoRR, 2019

An efficient system for customer churn prediction through particle swarm optimization based feature selection model with simulated annealing.
Clust. Comput., 2019

2018
Relation Networks for Optic Disc and Fovea Localization in Retinal Images.
CoRR, 2018

Computing efficient features using rough set theory combined with ensemble classification techniques to improve the customer churn prediction in telecommunication sector.
Computing, 2018

An Efficient Context-Aware Music Recommendation Based on Emotion and Time Context.
Proceedings of the Data Science and Big Data Analytics, 2018

2017
Channel Status based Sliding Contention Window (CS-SCW) algorithm: A Fuzzy Control Approach for Medium Access in Wireless Networks.
Soft Comput., 2017

2014
Optimized Multilevel Threshold Selection Using Evolutionary Computing.
Proceedings of the 17th International Conference on Network-Based Information Systems, 2014

A Novel Cross Layer Approach to Enhance QoS Performance in Multihop Adhoc Networks.
Proceedings of the 17th International Conference on Network-Based Information Systems, 2014

Modern Framework for Distributed Healthcare Data Analytics Based on Hadoop.
Proceedings of the Information and Communication Technology, 2014

2013
Two level verification for detection of DNS rebinding attacks.
Int. J. Syst. Assur. Eng. Manag., 2013

2012
Prevention of XSS attacks using STCD: server side tagging and client side differentiation.
ACM SIGSOFT Softw. Eng. Notes, 2012

2011
Appendicitis diagnosis system using fuzzy logic- and neural network-based classifier.
Int. J. Medical Eng. Informatics, 2011

Comparison of Dimensionality Reduction Techniques Using a Backpropagation Neural Network Based Classifier.
Int. J. Inf. Acquis., 2011

2010
Implementation of Support Vector Machines for Classification of Clinical Datasets.
Int. J. Inf. Acquis., 2010


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