Sundaram Divya Meena

Orcid: 0000-0002-5256-5076

According to our database1, Sundaram Divya Meena authored at least 12 papers between 2018 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Enhancing exploration-exploitation in harmony search for airborne hyperspectral imaging band selection (E3HS).
Turkish J. Electr. Eng. Comput. Sci., October, 2023

Integrated animal monitoring system with animal detection and classification capabilities: a review on image modality, techniques, applications, and challenges.
Artif. Intell. Rev., October, 2023

Land use and land cover classification with hyperspectral data: A comprehensive review of methods, challenges and future directions.
Neurocomputing, June, 2023

SWIN transformer based contrastive self-supervised learning for animal detection and classification.
Multim. Tools Appl., March, 2023

An intelligent protection framework for intrusion detection in cloud environment based on covariance matrix self-adaptation evolution strategy and multi-criteria decision-making.
J. Intell. Fuzzy Syst., 2023

Global-Local Attention-Based Butterfly Vision Transformer for Visualization-Based Malware Classification.
IEEE Access, 2023

2022
Comprehensive review on intelligent security defences in cloud: Taxonomy, security issues, ML/DL techniques, challenges and future trends.
J. King Saud Univ. Comput. Inf. Sci., November, 2022

2021
Smart Animal Detection and Counting Framework for Monitoring Livestock in an Autonomous Unmanned Ground Vehicle Using Restricted Supervised Learning and Image Fusion.
Neural Process. Lett., 2021

2020
A New Supervised Clustering Framework Using Multi Discriminative Parts and Expectation-Maximization Approach for a Fine-Grained Animal Breed Classification (SC-MPEM).
Neural Process. Lett., 2020

Invariant Features-Based Fuzzy Inference System for Animal Detection and Recognition Using Thermal Images.
Int. J. Fuzzy Syst., 2020

2019
An Efficient Framework for Animal Breeds Classification Using Semi-Supervised Learning and Multi-Part Convolutional Neural Network (MP-CNN).
IEEE Access, 2019

2018
Stacked Convolutional Autoencoder for Detecting Animal Images in Cluttered Scenes with a Novel Feature Extraction Framework.
Proceedings of the Soft Computing for Problem Solving, 2018


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