Venkata Subbaiah Desanamukula

According to our database, Venkata Subbaiah Desanamukula authored at least 5 papers between 2020 and 2025.

Collaborative distances:

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

2025

Prediction of Alzheimer's Disease Using Modified DNN with Optimal Feature Selection Based on Seagull Optimization.

Ashok Bhansali, Devulapalli Sudheer, Shrikant Tiwari, Venkata Subbaiah Desanamukula, Faiyaz Ahmad

J. Imaging Inform. Medicine, 2025

2023

A mass correlation based deep learning approach using deep Convolutional neural network to classify the brain tumor.

Gandi Satyanarayana, P. Appala Naidu, Venkata Subbaiah Desanamukula, Kadupukotla Satish kumar, B. Chinna Rao

Biomed. Signal Process. Control., March, 2023

2021

Driver drowsiness detection system based on infinite feature selection algorithm and support vector machine.

Venkata Subbaiah Desanamukula, Pushkal Padala, K. Venkata Rao

Int. J. Knowl. Based Intell. Eng. Syst., 2021

l, r-Stitch Unit: Encoder-Decoder-CNN Based Image-Mosaicing Mechanism for Stitching Non-Homogeneous Image Sequences.

Premith Kumar Chilukuri, Preethi Padala, Pushkal Padala, Venkata Subbaiah Desanamukula, Prasad Reddy Pvgd

IEEE Access, 2021

2020

AMMDAS: Multi-Modular Generative Masks Processing Architecture With Adaptive Wide Field-of-View Modeling Strategy.

Venkata Subbaiah Desanamukula, Premith Kumar Chilukuri, Pushkal Padala, Preethi Padala, Prasad Reddy Pvgd

IEEE Access, 2020