T. Kalavathi Devi

Orcid: 0000-0003-3356-6601

According to our database1, T. Kalavathi Devi authored at least 12 papers between 2020 and 2025.

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

Timeline

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Bibliography

2025
High Performance MAC Unit Design with Grouping and Decomposition Multiplier and 18 T Gate Diffusion Input-Transmission Gate Adder.
Circuits Syst. Signal Process., April, 2025

Stochastic gradient boosted distributed decision trees security approach for detecting cyber anomalies and classifying multiclass cyber-attacks.
Comput. Secur., 2025

2024
Artificial neural networks-based improved Levenberg-Marquardt neural network for energy efficiency and anomaly detection in WSN.
Wirel. Networks, August, 2024

Design and Analysis of Master Slave D Flip Flop Using Pass Transistor.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

Detection and Characterization of Thyroid Cancer Nodule Using Deep Neural Networks -A Review.
Proceedings of the 15th International Conference on Computing Communication and Networking Technologies, 2024

2023
Non-invasive method for the prediction of micronutrient deficiency using sequential learning techniques.
Comput. methods Biomech. Biomed. Eng. Imaging Vis., November, 2023

IoT Based Pulp Quality Enhancement Through Bleaching Process in ECF Plant.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023

2022
Low Complexity Modified Viterbi Decoder with Convolution Codes for Power Efficient Wireless Communication.
Wirel. Pers. Commun., 2022

Smart IoT Based Solar Powered Lawn Mower Robot.
Proceedings of the 13th International Conference on Computing Communication and Networking Technologies, 2022

2021
Early Detection of Lung Carcinoma Using Machine Learning.
Intell. Autom. Soft Comput., 2021

Prediction of Sulfur Content in Copra Using Machine Learning Algorithm.
Appl. Artif. Intell., 2021

2020
Segmentation Analysis Techniques and Identifying Stress Ratio of Human Lumbar Spine Using ANSYS.
J. Medical Imaging Health Informatics, 2020


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