Somu Venkateswarlu

According to our database, Somu Venkateswarlu authored at least 9 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of seven.
• Erdős number of six.

2023

Effective Segmentation and Brain Tumor Classification Using Sparse Bayesian ELM in MRI Images.

V. V. S. Sasank, Somu Venkateswarlu

Int. J. Artif. Intell. Tools, June, 2023

2022

FOC-MOP: Fuzzy Optimal Clustering Based Multi-Objective Parameter Route Selection for Energy Efficiency.

Pogula Sreedevi, Somu Venkateswarlu

Wirel. Pers. Commun., 2022

A fault tolerant optimal relay node selection algorithm for Wireless Sensor Networks using modified PSO.

Pogula Sreedevi, Somu Venkateswarlu

Pervasive Mob. Comput., 2022

Hybrid deep neural network with adaptive rain optimizer algorithm for multi-grade brain tumor classification of MRI images.

V. V. S. Sasank, Somu Venkateswarlu

Multim. Tools Appl., 2022

An Efficient Intra-Cluster Data Aggregation and finding the Best Sink location in WSN using EEC-MA-PSOGA approach.

Pogula Sreedevi, Somu Venkateswarlu

Int. J. Commun. Syst., 2022

An automatic tumour growth prediction based segmentation using full resolution convolutional network for brain tumour.

V. V. S. Sasank, Somu Venkateswarlu

Biomed. Signal Process. Control., 2022

2021

Brain tumor classification using modified kernel based softplus extreme learning machine.

V. V. S. Sasank, Somu Venkateswarlu

Multim. Tools Appl., 2021

Design and implementation of Energy Efficient Lightweight Encryption (EELWE) algorithm for medical applications.

Radhika Rani Chintala, Narasinga Rao M. R, Somu Venkateswarlu

CoRR, 2021

2016

Snort Rule Detection for Countering in Network Attacks.

Somu Venkateswarlu, D. B. K. Kamesh, J. K. R. Sastry, S. N. M. Sitara

Proceedings of the 5th International Conference on Frontiers in Intelligent Computing: Theory and Applications, 2016