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Srinivasa Rao Battula
Srinivasa Rao Battula
Professor of Computer and Information Sciences, University of Hyderabad
Verified email at uohyd.ac.in
Title
Cited by
Cited by
Year
A survey on business intelligence tools for marketing, financial, and transportation services
CS Reddy, RS Sangam, B Srinivasa Rao
Smart Intelligent Computing and Applications: Proceedings of the Second …, 2019
422019
Colorectal multi-class image classification using deep learning models
MSN Raju, BS Rao
Bulletin of Electrical Engineering and Informatics 11 (1), 195-200, 2022
202022
An effective WBC segmentation and classification using MobilenetV3–ShufflenetV2 based deep learning framework
BSS Rao, BS Rao
IEEE Access 11, 27739-27748, 2023
172023
Ghost-ResNeXt: An effective deep learning based on mature and immature WBC classification
SSR Bairaboina, SR Battula
Applied Sciences 13 (6), 4054, 2023
142023
Lung and colon cancer classification using hybrid principle component analysis network-extreme learning machine
MSN Raju, BS Rao
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 35 (1), 2023
142023
A Review on Alzheimer’s disease through analysis of MRI images using Deep Learning Techniques
BS Rao, M Aparna
IEEE Access, 2023
112023
A novel automated deep learning approach for Alzheimer’s disease classification
M Aparna, BS Rao
IAES International Journal of Artificial Intelligence 12 (1), 451, 2023
92023
A new approach for evolution of end to end security in wireless sensor network
SA Devi, RV Babu, BS Rao
International Journal on Computer Science and Engineering 3 (6), 2531-2543, 2011
92011
Xception-Fractalnet: Hybrid Deep Learning Based Multi-Class Classification of Alzheimer’s Disease.
M Aparna, BS Rao
Computers, Materials & Continua 74 (3), 2023
82023
Lung and colon cancer classification using hybrid principle component analysis network‐extreme learning machine
MS Naga Raju, B Srinivasa Rao
Concurrency and Computation: Practice and Experience 35 (1), e7361, 2023
62023
Colorectal Cancer Disease Classification and Segmentation Using A Novel Deep Learning Approach.
M Raju, BS Rao
International Journal of Intelligent Engineering & Systems 15 (4), 2022
52022
Classification of Colon Cancer through analysis of histopathology images using Transfer Learning
MSN Raju, BS Rao
2022 IEEE 2nd International Symposium on Sustainable Energy, Signal …, 2022
42022
Classification of Colon and Lung Cancer Through Analysis of Histopathology Images Using Deep Learning Models.
MSN Raju, BS Rao
Ingenierie des Systemes d'Information 27 (6), 2022
42022
Edge Assisted Architecture for Performing Precision Agriculture
P Lingudu, N Majji, B Sasala, VV Nelli, YS Rao, S Battula
2022 IEEE Region 10 Symposium (TENSYMP), 1-5, 2022
42022
Dimensionality reduction and hierarchical clustering in framework for hyperspectral image segmentation
KM Rao, BS Rao, BS Chandana, J Harikiran
Bulletin of Electrical Engineering and Informatics 8 (3), 1081-1087, 2019
42019
Modeling and simulation of IIR seeker for an aerospace vehicle
BS Rao, SK Satnami, M Prasad, LS Kumar, D Narayana
2016 IEEE Annual India Conference (INDICON), 1-4, 2016
42016
An Efficient Anti-noise Fast FCM clustering for Glioblastoma Multiforme Tumor segmentation
BS Rao, ES Reddy
International Journal of Computer Science and Information Security 14 (4), 126, 2016
42016
A survey on Glioblastoma Multiforme Tumor Segmentation through MR images
S Srinivasa Rao, E Sreenivasa Reddy
International Journal of Scientific & Engineering Research 7 (2), 1311-1322, 2016
42016
Multi-class Classification of Alzheimer's Disease Using Deep Learning and Transfer Learning on 3D MRI Images.
BS Rao, M Aparna, SS Kolisetty, H Janapana, YV Koteswararao
Traitement du Signal 41 (3), 2024
32024
An effective Alzheimer’s disease segmentation and classification using Deep ResUnet and Efficientnet
BS Rao, M Aparna, J Harikiran, TS Reddy
Journal of Biomolecular Structure and Dynamics, 1-12, 2023
32023
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