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Parvathaneni Naga Srinivasu
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2020 – today
- 2024
- [j22]G. V. Eswara Rao
, Rajitha Bakthula
Hybrid framework for respiratory lung diseases detection based on classical CNN and quantum classifiers from chest X-rays. Biomed. Signal Process. Control. 88(Part B): 105567 (2024) - [j21]Parvathaneni Naga Srinivasu
XAI-driven model for crop recommender system for use in precision agriculture. Comput. Intell. 40(1) (2024) - [j20]Varada Rajkumar Kukkala, Surapaneni Phani Praveen, Naga Satya Koti Mani Kumar Tirumanadham, Parvathaneni Naga Srinivasu:
A Study on Outlier Detection and Feature Engineering Strategies in Machine Learning for Heart Disease Prediction. Comput. Syst. Sci. Eng. 48(5): 1085-1112 (2024) - [j19]Pratiyush Guleria, Parvathaneni Naga Srinivasu
Diabetes prediction using Shapley additive explanations and DSaaS over machine learning classifiers: a novel healthcare paradigm. Multim. Tools Appl. 83(14): 40677-40712 (2024) - 2023
- [j18]N. Sushma
A Unified Metering System Deployed for Water and Energy Monitoring in Smart City. IEEE Access 11: 80429-80447 (2023) - [j17]Aruna Animish Pavate, Rajesh Bansode, Parvathaneni Naga Srinivasu
Associative Discussion Among Generating Adversarial Samples Using Evolutionary Algorithm and Samples Generated Using GAN. IEEE Access 11: 143757-143770 (2023) - [j16]K. Muthamil Sudar
TFAD: TCP flooding attack detection in software-defined networking using proxy-based and machine learning-based mechanisms. Clust. Comput. 26(2): 1461-1477 (2023) - [j15]Sirisati Ranga Swamy, Surapaneni Phani Praveen, Shakeel Ahmed
Multi-Features Disease Analysis Based Smart Diagnosis for COVID-19. Comput. Syst. Sci. Eng. 45(1): 869-886 (2023) - [j14]T. Bala Murali Krishna, Surapaneni Phani Praveen, Shakeel Ahmed
Software-driven secure framework for mobile healthcare applications in IoMT. Intell. Decis. Technol. 17(2): 377-393 (2023) - [j13]Radhakrishnan Sujatha, Jyotir Moy Chatterjee
A transfer learning-based system for grading breast invasive ductal carcinoma. IET Image Process. 17(7): 1979-1990 (2023) - [j12]U. Sirisha, Surapaneni Phani Praveen, Parvathaneni Naga Srinivasu
Statistical Analysis of Design Aspects of Various YOLO-Based Deep Learning Models for Object Detection. Int. J. Comput. Intell. Syst. 16(1): 126 (2023) - [j11]Shakeel Ahmed
A Software Framework for Intelligent Security Measures Regarding Sensor Data in the Context of Ambient Assisted Technology. Sensors 23(14): 6564 (2023) - 2022
- [j10]Parvathaneni Naga Srinivasu
6G Driven Fast Computational Networking Framework for Healthcare Applications. IEEE Access 10: 94235-94248 (2022) - [j9]Sumeet Goyal, Digvijay Pandey, Harjinder Singh, Joginder Singh, Rahul Kakkar, Parvathaneni Naga Srinivasu
Mathematical modelling for prediction of spread of corona virus and artificial intelligence/machine learning-based technique to detect COVID-19 via smartphone sensors. Int. J. Model. Identif. Control. 41(1/2): 43-52 (2022) - [j8]Parvathaneni Naga Srinivasu
Probabilistic Buckshot-Driven Cluster Head Identification and Accumulative Data Encryption in WSN. J. Circuits Syst. Comput. 31(17): 2250303:1-2250303:29 (2022) - [j7]Adarsh Vulli
Fine-Tuned DenseNet-169 for Breast Cancer Metastasis Prediction Using FastAI and 1-Cycle Policy. Sensors 22(8): 2988 (2022) - 2021
- [j6]Deepalakshmi P., Prudhvi Krishna T., Siri Chandana S., Lavanya K., Parvathaneni Naga Srinivasu
Plant Leaf Disease Detection Using CNN Algorithm. Int. J. Inf. Syst. Model. Des. 12(1): 1-21 (2021) - [j5]Parvathaneni Naga Srinivasu
Probabilistic Deep Q Network for real-time path planning in censorious robotic procedures using force sensors. J. Real Time Image Process. 18(5): 1773-1785 (2021) - [j4]Parvathaneni Naga Srinivasu
Self-Learning Network-based segmentation for real-time brain M.R. images through HARIS. PeerJ Comput. Sci. 7: e654 (2021) - [j3]Parvathaneni Naga Srinivasu
Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM. Sensors 21(8): 2852 (2021) - 2020
- [j2]Parvathaneni Naga Srinivasu
Volumetric Estimation of the Damaged Area in the Human Brain from 2D MR Image. Int. J. Inf. Syst. Model. Des. 11(1): 74-92 (2020) - [j1]Parvathaneni Naga Srinivasu
A comparative review of optimisation techniques in segmentation of brain MR images. J. Intell. Fuzzy Syst. 38(5): 6031-6043 (2020)
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