V. Seethalakshmi

According to our database, V. Seethalakshmi authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

HCO-RLF: Hybrid classification optimization using recurrent learning and fuzzy for COVID-19 detection on CT images.

K. Balasamy, V. Seethalakshmi

Biomed. Signal Process. Control., 2025

2024

FACNN: fuzzy-based adaptive convolution neural network for classifying COVID-19 in noisy CXR images.

S. Suganyadevi, V. Seethalakshmi

Medical Biol. Eng. Comput., September, 2024

Medical Image Analysis Through Deep Learning Techniques: A Comprehensive Survey.

K. Balasamy, V. Seethalakshmi, S. Suganyadevi

Wirel. Pers. Commun., August, 2024

Deep Learning Based Alzheimer Disease Diagnosis: A Comprehensive Review.

S. Suganyadevi, A. Shiny Pershiya, K. Balasamy, V. Seethalakshmi, Saroj Bala, Kumud Arora

SN Comput. Sci., April, 2024

Deep recurrent learning based qualified sequence segment analytical model (QS2AM) for infectious disease detection using CT images.

S. Suganyadevi, V. Seethalakshmi

Evol. Syst., April, 2024

2022

CVD-HNet: Classifying Pneumonia and COVID-19 in Chest X-ray Images Using Deep Network.

S. Suganyadevi, V. Seethalakshmi

Wirel. Pers. Commun., 2022

Real-coded multi-objective genetic algorithm with effective queuing model for efficient job scheduling in heterogeneous Hadoop environment.

V. Seethalakshmi, Govindasamy Vaiyapuri, Akila Venkatesan

J. King Saud Univ. Comput. Inf. Sci., 2022

A review on deep learning in medical image analysis.

S. Suganyadevi, V. Seethalakshmi, K. Balasamy

Int. J. Multim. Inf. Retr., 2022

2021

Mitigation of Malicious Flooding in Software Defined Networks Using Dynamic Access Control List.

J. Ramprasath, V. Seethalakshmi

Wirel. Pers. Commun., 2021

Improved Network Monitoring Using Software-Defined Networking for DDoS Detection and Mitigation Evaluation.

J. Ramprasath, V. Seethalakshmi

Wirel. Pers. Commun., 2021

Secure access of resources in software-defined networks using dynamic access control list.

J. Ramprasath, V. Seethalakshmi

Int. J. Commun. Syst., 2021

2020

Hybrid gradient descent spider monkey optimization (HGDSMO) algorithm for efficient resource scheduling for big data processing in heterogenous environment.

V. Seethalakshmi, Govindasamy Vaiyapuri, Akila Venkatesan

J. Big Data, 2020