Saravanan Alagarsamy

According to our database, Saravanan Alagarsamy authored at least 9 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Fuzzy-Based Optimization Techniques for Segmenting the Tumors in Multimodal MRI Images.

Saravanan Alagarsamy, Deivanayagampillai Nagarajan, Vishnuvarthanan Govindaraj

Oper. Res. Forum, March, 2025

2024

Smart system for identifying the various pathologies in MR brain image using Monkey Search based Interval Type-II Fuzzy C-Means technique.

Harish Garg, Saravanan Alagarsamy, Deivanayagampillai Nagarajan, A. Senthilkumar

Multim. Tools Appl., December, 2024

Intelligent Multigrade Brain Tumor Identification in MRI: A Metaheuristic-Based Uncertain Set Framework.

Saravanan Alagarsamy, Vishnuvarthanan Govindaraj, A. Shahina, Deivanayagampillai Nagarajan

IEEE Trans. Artif. Intell., November, 2024

Detecting Epileptic Seizures Using Symplectic Geometry Decomposition-Based Features and Gaussian Deep Boltzmann Machines.

K. Visalini, Saravanan Alagarsamy, S. P. Raja

Int. J. Image Graph., July, 2024

2023

Automated Brain Tumor Segmentation for MR Brain Images Using Artificial Bee Colony Combined With Interval Type-II Fuzzy Technique.

Saravanan Alagarsamy, Vishnuvarthanan Govindaraj, A. Senthilkumar

IEEE Trans. Ind. Informatics, November, 2023

Neonatal seizure detection using deep belief networks from multichannel EEG data.

K. Visalini, Saravanan Alagarsamy, Deivanayagampillai Nagarajan

Neural Comput. Appl., May, 2023

2022

Performance enhancement and ANN prediction of R600a vapour compression refrigeration system using CuO/Sio₂ hybrid nanolubricants: an energy conservation approach.

A. Senthilkumar, A. Anderson, Saravanan Alagarsamy

Neural Comput. Appl., 2022

2021

Smart Identification of Topographically Variant Anomalies in Brain Magnetic Resonance Imaging Using a Fish School-Based Fuzzy Clustering Approach.

Saravanan Alagarsamy, Yudong Zhang, Vishnuvarthanan Govindaraj, Rajasekaran Murugan Pallikonda, Sakthivel Sankaran

IEEE Trans. Fuzzy Syst., 2021

2017

A fully automated hybrid methodology using Cuckoo-based fuzzy clustering technique for magnetic resonance brain image segmentation.

Saravanan Alagarsamy, Kartheeban Kamatchi, Vishnuvarthanan Govindaraj, Arunprasath Thiyagarajan

Int. J. Imaging Syst. Technol., 2017