J. Kalaivani

Orcid: 0000-0001-7300-3999

Affiliations:
  • SRM Institute of Science and Technology, College of Engineering and Technology, Department of Computing Technologies, Kattankulathur, India


According to our database1, J. Kalaivani authored at least 10 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Advancing regional language fake news detection through interpretable generalized additive neural networks combined with fast text for efficient classification.
Knowl. Inf. Syst., December, 2026

2025
A Robust Approach for Energy-Aware Node Localization in Wireless Sensor Network Using Fitness-Based Hybrid Heuristic Algorithms.
Int. J. Commun. Syst., January, 2025

An intelligent feature selection-based fake news detection model for pandemic situation with optimal attention based multiscale densenet with long short-term memory layer.
Appl. Soft Comput., 2025

2024
Adaptive weighted feature fusion for multiscale atrous convolution-based 1DCNN with dilated LSTM-aided fake news detection using regional language text information.
Expert Syst. J. Knowl. Eng., November, 2024

Fog-Assisted Abnormal Motion Detection System: A Semantic Ontology Approach.
Circuits Syst. Signal Process., September, 2024

EmpowerAbility: A portal for employment & scholarships for differently-abled.
CoRR, 2024

A Self-Operational Convolutional Neural Networks With Convergent Cross-Mapping and Its Application in Parkinson's Disease Classification.
IEEE Access, 2024

2023
Real-time institution video data analysis using fog computing and adaptive background subtraction.
J. Real Time Image Process., October, 2023

An optimal cluster based security and resilience of smart home environments using hybrid soft computing techniques.
Comput. Intell., August, 2023

Data Integrity Protection Using Multi-level Reconstructive Error Data and Auditing for Cloud Storage.
Proceedings of the Intelligent Data Engineering and Analytics, 2023


  Loading...