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ORCIDVidyullatha Pellakuri
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- 2026
[j12]Vidyullatha Pellakuri, Iacovos Ioannou
, G. S. Pradeep Ghantasala, Vasos Vassiliou, Boddu Sekhar Babu:
Gradient-informed MBO with constraint-aware graph refinement network for privacy-preserving federated mask R-CNN segmentation (GIMBO-CAGRN-FL). Expert Syst. Appl. 320: 132185 (2026)- [j11]G. S. Pradeep Ghantasala, Iacovos I. Ioannou, Thrilok Kolla, Vidyullatha Pellakuri, Vijayalakshmi Nanjappan, Michael Savva, Vasos Vassiliou:
A Multilayered Framework for Adaptive and Optimized Real-Time Data Processing in Edge-Fog IoT Environments. IEEE Internet Things J. 13(11): 23549-23575 (2026) - 2025
- [j10]Abhijit Dnyaneshwar Jadhav, Vidyullatha Pellakuri, Ahire Prashant G., Archana Chaugule, Harish U. Tiwari:
Distributed two phase intrusion detection system using machine learning techniques and underlying big data storage and processing architecture- HDFS. Inteligencia Artif. 28(76): 124-148 (2025) - [j9]G. S. Pradeep Ghantasala, Bui Thanh Hung, Prasun Chakrabarti, Sathiyaraj R, Vidyullatha Pellakuri:
Artificial intelligence based machine learning algorithm for prediction of cancer in female anatomy. Multim. Tools Appl. 84(16): 15735-15761 (2025) - [j8]Mahesh Ashok Mahant, Vidyullatha Pellakuri:
Data-driven insights using decision trees and K-nearest neighbors (KNN) for improving child and women's health. Multim. Tools Appl. 84(26): 30781-30804 (2025) - 2024
- [j7]G. S. Pradeep Ghantasala, Kumar Dilip, Vidyullatha Pellakuri, Sarah Allabun, Mohammed S. Alqahtani, Manal Othman, Mohamed Abbas, Ben Othman Soufiene:
Enhanced ovarian cancer survival prediction using temporal analysis and graph neural networks. BMC Medical Informatics Decis. Mak. 24(1): 299 (2024) - [j6]K. Pushpa Rani, Vidyullatha Pellakuri, Koppula Srinivas Rao:
An optimized topic modeling question answering system for web-based questions. Multim. Tools Appl. 83(27): 69581-69599 (2024) - [j5]K. Pushpa Rani, Vidyullatha Pellakuri, Koppula Srinivas Rao:
An Intelligent Tuned Topic Modelling Questing Answering System as Job Assistant. Wirel. Pers. Commun. 135(3): 1761-1782 (2024) - 2023
- [j4]R. Josphineleela, Vidyullatha Pellakuri, R. Thanuja, Diana Moses:
Secure Internet of Thing based data communication in blockchain model using novel teaching-learning optimized fuzzy approach. Trans. Emerg. Telecommun. Technol. 34(7) (2023) - 2021
- [j3]Abhijit Dnyaneshwar Jadhav, Vidyullatha Pellakuri:
Highly accurate and efficient two phase-intrusion detection system (TP-IDS) using distributed processing of HADOOP and machine learning techniques. J. Big Data 8(1): 131 (2021) - [j2]Abhijit Dnyaneshwar Jadhav, Vidyullatha Pellakuri:
Accuracy Based Fault Tolerant Two Phase - Intrusion Detection System (TP-IDS) Using Machine Learning and HDFS. Rev. d'Intelligence Artif. 35(5): 359-366 (2021) - 2020
- [j1]Naushad Varish, Arup Kumar Pal, Rosilah Hassan, Mohammad Kamrul Hasan, Asif Khan, Nikhat Parveen, Debrup Banerjee, Vidyullatha Pellakuri, Amin Ul Haqis, Imran Memon:
Image Retrieval Scheme Using Quantized Bins of Color Image Components and Adaptive Tetrolet Transform. IEEE Access 8: 117639-117665 (2020)
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