S. Ramesh

According to our database, S. Ramesh authored at least 16 papers between 2021 and 2024.

Collaborative distances:

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

2024

A recurrent neural network architecture for android mobile data analysis for detecting malware infected data.

Prabhu Murugan, A. Manimaran, Ramesh Sundar, Prabakar Dakshinamoorthy, Gnanajeyaraman Rajaram, Shruti Garg

Soft Comput., November, 2024

Efficient protection of golden nutri cereal implementing enhanced disease identification injecting hybrid split-attention mechanism through Novel SANDNES Mechanism.

A Divya, D. Sungeetha, Ramesh Sundar

Multim. Tools Appl., November, 2024

Future directions of artificial intelligence integration: Managing strategies and opportunities.

Ramesh Sundar, Ziaul Haque Choudhury, M. Chiranjivi, Gayatri Parasa, Praseeda Ravuri, M. Sivaram, Balambigai Subramanian, Kireet Muppavaram, Vijaya Madhavi Lakshmi. Challa

J. Intell. Fuzzy Syst., March, 2024

Correction: Multivariate clustering for maximizing the small cell users' performance based on the dynamic interference alignment.

Prabakar Dakshinamoorthy, Saminadan Vaitilingam, Ramesh Sundar

Wirel. Networks, January, 2024

2023

Multivariate clustering for maximizing the small cell users' performance based on the dynamic interference alignment.

Prabakar Dakshinamoorthy, Saminadan Vaitilingam, Ramesh Sundar

Wirel. Networks, October, 2023

Microgrid based VANET monitoring and energy management in 5G networks by reinforcement deep learning techniques.

A. Selvakumar, S. Ramesh, Thirumalaisamy Manikandan, G. Michael, U. Arul, R. Gnanajeyaraman

Comput. Electr. Eng., October, 2023

Automatic speech emotion detection using hybrid of gray wolf optimizer and naïve Bayes.

S. Ramesh, S. Gomathi, S. Sasikala, Thapasimuthu Rajeswari Saravanan

Int. J. Speech Technol., September, 2023

Vehicular network energy storage system with renewable analysis using deep learning architectures.

S. Ramesh, Thirumalaisamy Manikandan, R. Gnanajeyaraman, U. Arul, G. Michael, A. Selvakumar

Comput. Electr. Eng., September, 2023

Integration of IoT and edge cloud computing for smart microgrid energy management in VANET using machine learning.

U. Arul, R. Gnanajeyaraman, A. Selvakumar, S. Ramesh, Thirumalaisamy Manikandan, G. Michael

Comput. Electr. Eng., September, 2023

Optimization of Energy and Security in Mobile Sensor Network Using Classification Based Signal Processing in Heterogeneous Network.

S. Ramesh, S. Nirmalraj, S. Murugan, Manikandan Ramachandran, Fadi Al-Turjman

J. Signal Process. Syst., March, 2023

Optimization of Retention in Ferroelectricity Boosted Gate Stacks for 3D NAND.

Laurent Breuil, Mihaela Ioana Popovici, J. Stiers, Antonio Arreghini, S. Ramesh, Geert Van den Bosch, Jan Van Houdt, Maarten Rosmeulen

Proceedings of the IEEE International Memory Workshop, 2023

2022

Segmentation and classification of breast cancer using novel deep learning architecture.

S. Ramesh, S. Sasikala, S. Gomathi, V. Geetha, V. Anbumani

Neural Comput. Appl., 2022

K-Means Cluster-Based Interference Alignment With Adam Optimizer in Convolutional Neural Networks.

Tirupathaiah Kanaparthi, S. Ramesh, Ravi Sekhar Yarrabothu

Int. J. Inf. Secur. Priv., 2022

Cardiac disease diagnosis using feature extraction and machine learning based classification with Internet of Things(IoT).

Muthulakshmi Venkatesan, Priya Lakshmipathy, Vani Vijayan, Ramesh Sundar

Concurr. Comput. Pract. Exp., 2022

Transfer learning based recurrent neural network algorithm for linguistic analysis.

S. Sasikala, S. Ramesh, S. Gomathi, Balambigai Subramanian, V. Anbumani

Concurr. Comput. Pract. Exp., 2022

2021

Segmentation and classification of brain tumors using modified median noise filter and deep learning approaches.

S. Ramesh, S. Sasikala, Nirmala Paramanandham

Multim. Tools Appl., 2021