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Battula Srinivasa Rao
Observed names:
B. Srinivasa Rao,
B. Srinivasa Rao, Dr.,
Dr. B Srinivasa Rao
Observed institutions:
Jawaharlal Nehru Technological University, Kakinada,
University of Hyderabad,
VIT-AP University,
Vellore Institute of Technology University
ORCID:
0000-0003-2242-3656
Observed ORCID:
0000-0003-2242-3656
OpenAlex ID:
A5063316692
A Review on Alzheimer’s Disease Through Analysis of MRI Images Using Deep Learning Techniques
2023
·
Battula Srinivasa Rao
, Mudiyala Aparna
·
IEEE Access
·
44
PDF
An Effective WBC Segmentation and Classification Using MobilenetV3–ShufflenetV2 Based Deep Learning Framework
2023
·
Bairaboina Sai Sambasiva Rao
, Battula Srinivasa Rao
·
IEEE Access
·
41
PDF
Colorectal multi-class image classification using deep learning models
2022
·
Mallela Siva Naga Raju
, Battula Srinivasa Rao
·
Bulletin of Electrical Engineering and Informatics
·
29
PDF
Lung and colon cancer classification using hybrid principle component analysis network‐extreme learning machine
2022
·
Mallela Siva Naga Raju
, Battula Srinivasa Rao
·
Concurrency and Computation Practice and Experience
·
23
Optimized MobileNetV3: a deep learning-based Parkinson’s disease classification using fused images
2023
·
Sukanya Pechetti
, Battula Srinivasa Rao
·
PeerJ Computer Science
·
18
Multi-class Classification of Alzheimer’s Disease Using Deep Learning and Transfer Learning on 3D MRI Images
2024
·
Battula Srinivasa Rao
, Mudiyala Aparna
, et al.
·
Traitement du signal
·
14
Detection and diagnosis of diabetic eye diseases using two phase transfer learning approach
2024
·
Vamsi Krishna Madduri
, Battula Srinivasa Rao
·
PeerJ Computer Science
·
13
An effective Alzheimer’s disease segmentation and classification using Deep ResUnet and Efficientnet
2023
·
Battula Srinivasa Rao
, Mudiyala Aparna
, et al.
·
Journal of Biomolecular Structure and Dynamics
·
12
EfficientNet - XGBoost: An Effective White-Blood-Cell Segmentation and Classification Framework
2023
·
Bairaboina Sai Samba SivaRao
, Battula Srinivasa Rao
·
Nano Biomedicine and Engineering
·
11
PDF
A novel automated deep learning approach for Alzheimer's disease classification
2022
·
Mudiyala Aparna
, Battula Srinivasa Rao
·
IAES International Journal of Artificial Intelligence
·
11
PDF
An approach for heart disease detection by enhancing training phase of neural network using hybrid algorithm
2014
·
B. Srinivasa Rao
, K. Nageswara Rao
, et al.
·
IEEE International Advance Computing Conference
·
11
Xception-Fractalnet: Hybrid Deep Learning Based Multi-Class Classification of Alzheimer’s Disease
2022
·
Mudiyala Aparna
, Battula Srinivasa Rao
·
Computers, materials & continua/Computers, materials & continua (Print)
·
10
PDF
Classification of Colon and Lung Cancer Through Analysis of Histopathology Images Using Deep Learning Models
2022
·
Mallela Siva Naga Raju
, Battula Srinivasa Rao
·
Ingénierie des systèmes d information
·
8
PDF
Classification of Colon Cancer through analysis of histopathology images using Transfer Learning
2022
·
M Siva Naga Raju
, Dr. B Srinivasa Rao
·
IEEE International Symposium on Sustainable Energy, Signal Processing and Cyber Security (iSSSC)
·
6
Histopathological Image Classification Using Deep Neural Networks with Fine-Tuning
2021
·
A. S. Vidyun
, B. Srinivasa Rao
, et al.
·
Advances in intelligent systems and computing
·
6
An Insight in to Privacy Preserving Data Mining Methods
2013
·
K. Srinivasa Rao
, B. Srinivasa Rao
·
The SIJ Transactions on Computer Science Engineering & its Applications (CSEA)
·
5
Enhanced Classification of Alzheimer’s Disease Stages via Weighted Optimized Deep Neural Networks and MRI Image Analysis
2023
·
Mudiyala Aparna
, Battula Srinivasa Rao
·
Traitement du signal
·
4
PDF
Dimensionality reduction and hierarchical clustering in framework for hyperspectral image segmentation
2019
·
K. Mallikharjuna Rao
, B. Srinivasa Rao
, et al.
·
Bulletin of Electrical Engineering and Informatics
·
4
PDF
An Outlook of Medical Image Analysis via Transfer Learning Approaches
2022
·
Mallela Siva Nagaraju
, Battula Srinivasa Rao
·
Traitement du signal
·
3
PDF
Conversion Prediction from Click-Stream: Modeling Market Prediction and Customer Predictability
2020
·
Battula Srinivasa Rao
, B. V. Srividya
·
TEST Engineering & Management
·
3
Efficient failure detection and consensus at extreme-scale systems
2022
·
Soma Sekhar Kolisetty
, Battula Srinivasa Rao
·
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering
·
2
PDF
Scalable epidemic message passing interface fault tolerance
2022
·
Soma Sekhar Kolisetty
, Battula Srinivasa Rao
·
Bulletin of Electrical Engineering and Informatics
·
2
PDF
An optimised deep learning approach for alzheimer’s disease classification
2024
·
Perla Pawan Phanieswar
, Konda Sarvari Harshitha
, et al.
·
IAES International Journal of Artificial Intelligence
·
1
PDF
An Approach to Classify and Segment Diabetic Retinopathy and Retinopathy of Prematurity
2023
·
Madduri Vamsi Krishna
, Battula Srinivasa Rao
·
Traitement du signal
·
1
PDF
Privacy-Aware Artificial Intelligence with Homomorphic Encryption using Machine Learning
2023
·
B. Srinivasa Rao
, Saumitra Chattopadhyay
, et al.
·
International Conference on Sustainable Computing and Smart Systems (ICSCSS)
·
1
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Works count:
37
Citation count:
283
H-index:
11
I10-index:
12
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