S. Rajeshkannan

According to our database, S. Rajeshkannan authored at least 8 papers between 2023 and 2025.

Collaborative distances:

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

2025

Robust stereo depth estimation in autonomous vehicle applications by the integration of planar constraints using ghost residual attention networks.

M. Angelin Ponrani, P. Ezhilarasi, S. Rajeshkannan

Signal Image Video Process., December, 2025

Semantic Segmentation of Remote Sensing Images Using Optimized Pyramidal Dilation Attention Convolutional Neural Network with Transformation Consistency Regularization.

J. Arul King, Y. Madhaveelatha, S. Rajeshkannan, T. R. Vijaya Lakshmi

Int. J. Wavelets Multiresolution Inf. Process., September, 2025

Efficient energy management in wireless sensor networks based on optimized explicit feature interaction-aware graph neural network.

G. Senthilkumar, R. Naveenkumar, S. Rajeshkannan, S. Rama Sree

Peer Peer Netw. Appl., June, 2025

Enhanced brain tumor classification via efficient predefined time adaptive neural network optimized with high-level target navigation pigeon-inspired optimization.

C. Pabitha, Law Kumar Singh, S. Rajeshkannan, T. R. Vijaya Lakshmi

Knowl. Based Syst., 2025

SwinDepth-T: revolutionizing monocular depth estimation with hierarchical transformer-based multiscale feature fusion.

M. Angelin Ponrani, P. Ezhilarasi, S. Rajeshkannan

J. Electronic Imaging, 2025

2024

CSMEC-based deep learning model for detection and classification of brain tumours in MR images.

D. Beaulah Princiba, P. Ezhilarasi, S. Rajeshkannan

Neural Comput. Appl., October, 2024

Unveiling the Secrets of Brain Tumors: A Fuzzy C-Means and U-Net Convolution Approach for Enhanced Segmentation.

J. Pearline Sheba Grace, P. Ezhilarasi, S. Rajeshkannan

Int. J. Comput. Commun. Control, March, 2024

2023

Faster Region Based Convolutional Neural Network for Skin Lesion Segmentation.

G. Murugesan, J. Jeyapriya, M. Hemalatha, S. Rajeshkannan

Intell. Autom. Soft Comput., 2023