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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
352019
Colorectal multi-class image classification using deep learning models
MSN Raju, BS Rao
Bulletin of Electrical Engineering and Informatics 11 (1), 195-200, 2022
162022
Ghost-resNeXt: an effective deep learning based on mature and immature WBC classification
SSR Bairaboina, SR Battula
Applied Sciences 13 (6), 4054, 2023
102023
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
102011
An effective WBC segmentation and classification using MobilenetV3–ShufflenetV2 based deep learning framework
BSS Rao, BS Rao
IEEE Access 11, 27739-27748, 2023
92023
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
62023
A Review on Alzheimer’s disease through analysis of MRI images using Deep Learning Techniques
BS Rao, M Aparna
IEEE Access, 2023
52023
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
52023
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
Xception-Fractalnet: Hybrid Deep Learning Based Multi-Class Classification of Alzheimer’s Disease.
M Aparna, BS Rao
Computers, Materials & Continua 74 (3), 2023
42023
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
42023
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
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
EfficientNet-XGBoost: an effective white-blood-cell segmentation and classification framework
BSS SivaRao, BS Rao
Nano Biomedicine and Engineering 15 (2), 126-135, 2023
32023
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
32016
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
22022
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
22022
Scalable epidemic message passing interface fault tolerance
SS Kolisetty, BS Rao
Bulletin of Electrical Engineering and Informatics 11 (2), 998-1006, 2022
22022
Colorectal cancer disease classification using Mobilenetv2 based on deep learning
MSN Raju, MSBS Rao
International Journal of Software Innovation (IJSI) 10 (1), 1-18, 2022
22022
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