V. Seethalakshmi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Dynamic Access Control

Weakly Supervised

Top Venues

Wirel. Pers. Commun.

Int. J. Multim. Inf. Retr.

Medical Biol. Eng. Comput.

Publications

S. Suganyadevi, V. Seethalakshmi
Deep recurrent learning based qualified sequence segment analytical model (QS2AM) for infectious disease detection using CT images. Evol. Syst. 15 (2) (2024)
S. Suganyadevi, V. Seethalakshmi
FACNN: fuzzy-based adaptive convolution neural network for classifying COVID-19 in noisy CXR images. Medical Biol. Eng. Comput. 62 (9) (2024)
S. Suganyadevi, A. Shiny Pershiya, K. Balasamy, V. Seethalakshmi, Saroj Bala, Kumud Arora
Deep Learning Based Alzheimer Disease Diagnosis: A Comprehensive Review. SN Comput. Sci. 5 (4) (2024)
K. Balasamy, V. Seethalakshmi, S. Suganyadevi
Medical Image Analysis Through Deep Learning Techniques: A Comprehensive Survey. Wirel. Pers. Commun. 137 (3) (2024)
S. Suganyadevi, V. Seethalakshmi, K. Balasamy
A review on deep learning in medical image analysis. Int. J. Multim. Inf. Retr. 11 (1) (2022)
V. Seethalakshmi, Govindasamy Vaiyapuri, Akila Venkatesan
Real-coded multi-objective genetic algorithm with effective queuing model for efficient job scheduling in heterogeneous Hadoop environment. J. King Saud Univ. Comput. Inf. Sci. 34 (6 Part B) (2022)
S. Suganyadevi, V. Seethalakshmi
CVD-HNet: Classifying Pneumonia and COVID-19 in Chest X-ray Images Using Deep Network. Wirel. Pers. Commun. 126 (4) (2022)
J. Ramprasath, V. Seethalakshmi
Improved Network Monitoring Using Software-Defined Networking for DDoS Detection and Mitigation Evaluation. Wirel. Pers. Commun. 116 (3) (2021)
J. Ramprasath, V. Seethalakshmi
Mitigation of Malicious Flooding in Software Defined Networks Using Dynamic Access Control List. Wirel. Pers. Commun. 121 (1) (2021)
J. Ramprasath, V. Seethalakshmi
Secure access of resources in software-defined networks using dynamic access control list. Int. J. Commun. Syst. 34 (1) (2021)
V. Seethalakshmi, Govindasamy Vaiyapuri, Akila Venkatesan
Hybrid gradient descent spider monkey optimization (HGDSMO) algorithm for efficient resource scheduling for big data processing in heterogenous environment. J. Big Data 7 (1) (2020)