S. Chandra Mohan Reddy

According to our database, S. Chandra Mohan Reddy authored at least 10 papers between 2020 and 2026.

Collaborative distances:

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

2026

Hybrid convolution (1D/2D)-based adaptive and attention-aided residual DenseNet approach on brain-computer interface for automatic imagined speech recognition framework.

Jalagadugu Anusha, S. Chandramohan Reddy

Comput. Speech Lang., 2026

2025

MRI Brain tumor segmentation and classification with improved U-Net model.

Palleti Venkata Kusuma, S. Chandra Mohan Reddy

Multim. Tools Appl., January, 2025

Brain tumor segmentation and classification using MRI: Modified segnet model and hybrid deep learning architecture with improved texture features.

Palleti Venkata Kusuma, S. Chandra Mohan Reddy

Comput. Biol. Chem., 2025

2024

Deep concatenated features with improved heuristic-based recurrent neural network for hyperspectral image classification.

Venkata Dasu Marri, Veera Narayana Reddy P., S. Chandra Mohan Reddy

Multim. Tools Appl., May, 2024

A robust feature selection method based on meta-heuristic optimization for speech emotion recognition.

Kesava Rao Bagadi, Chandra Mohan Reddy Sivappagari

Evol. Intell., April, 2024

Power optimized intelligent Handoff mechanism for 5G-Heterogeneous network.

Kiran Mannem, Pasumarthy Nageswara Rao, S. Chandra Mohan Reddy

Multim. Tools Appl., 2024

2023

High-performance mobility management using KGMO in heterogeneous network.

Kiran Mannem, Pasumarthy Nageswara Rao, S. Chandra Mohan Reddy

Int. J. Wirel. Mob. Comput., 2023

2021

Single-loop sigma delta modulator design and verification for cognitive IoT applications.

Vamsee Krishna S., Sudhakara P. Reddy, S. Chandra Mohan Reddy

Int. J. Pervasive Comput. Commun., 2021

RNN-based multispectral satellite image processing for remote sensing applications.

Venkata Dasu Marri, Veera Narayana Reddy P., S. Chandra Mohan Reddy

Int. J. Pervasive Comput. Commun., 2021

2020

An Instinctive Application of Spatially Weighted Possibilistic Clustering Methods for the Detection of Lesions in Diabetic Retinopathy Images in Multi-dimensional Kernel Space.

R. Ravindraiah, S. Chandra Mohan Reddy

Wirel. Pers. Commun., 2020