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Jayakrushna Sahoo
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2020 – today
- 2024
- [j10]Chinju John, Jayakrushna Sahoo, Irish K. Sajan, Manu Madhavan, Oommen K. Mathew:
CNN-BLSTM based deep learning framework for eukaryotic kinome classification: An explainability based approach. Comput. Biol. Chem. 112: 108169 (2024) - [j9]Sheema Madhusudhanan, Arun Cyril Jose, Jayakrushna Sahoo, Reza Malekian:
PRIMϵ: Novel Privacy-Preservation Model With Pattern Mining and Genetic Algorithm. IEEE Trans. Inf. Forensics Secur. 19: 571-585 (2024) - [c2]Akarsh K. Nair, Jayakrushna Sahoo, Linga Reddy Cenkeramaddi, Gaurav Jaswal, Ebin Deni Raj:
Mobile_FL: A streamlined FL framework for process optimisation via client clustering using rough c-means algorithm. CPSS@AsiaCCS 2024: 88-97 - 2023
- [j8]Ruchi Rani, Jayakrushna Sahoo, Sivaiah Bellamkonda, Sumit Kumar, Sanjeev Kumar Pippal:
Role of Artificial Intelligence in Agriculture: An Analysis and Advancements With Focus on Plant Diseases. IEEE Access 11: 137999-138019 (2023) - [j7]Rakesh P. Badoni, Jayakrushna Sahoo, Shwetabh Srivastava, Mukesh Mann, D. K. Gupta, Swati Verma, Predrag S. Stanimirovic, Lev A. Kazakovtsev, Darjan Karabasevic:
An Exploration and Exploitation-Based Metaheuristic Approach for University Course Timetabling Problems. Axioms 12(8): 720 (2023) - [j6]Akarsh K. Nair, Jayakrushna Sahoo, Ebin Deni Raj:
Privacy preserving Federated Learning framework for IoMT based big data analysis using edge computing. Comput. Stand. Interfaces 86: 103720 (2023) - [j5]Akarsh K. Nair, Ebin Deni Raj, Jayakrushna Sahoo:
A robust analysis of adversarial attacks on federated learning environments. Comput. Stand. Interfaces 86: 103723 (2023) - [j4]Pushpi Rani, Dilip K. Shaw, Jayakrushna Sahoo:
A node combination approach with fuzziness in shortest path problem. Int. J. Adv. Intell. Paradigms 26(3/4): 336-348 (2023) - 2022
- [c1]Nikhil Kumar Ghanghor, Chinju John, Jayakrushna Sahoo:
MFNet: A Facial Recognition Pipeline for Masked Faces Using FaceNet. CVIP (1) 2022: 604-614
2010 – 2019
- 2016
- [j3]Jayakrushna Sahoo, Ashok Kumar Das, Adrijit Goswami:
An efficient fast algorithm for discovering closed+ high utility itemsets. Appl. Intell. 45(1): 44-74 (2016) - 2015
- [j2]Jayakrushna Sahoo, Ashok Kumar Das, Adrijit Goswami:
An efficient approach for mining association rules from high utility itemsets. Expert Syst. Appl. 42(13): 5754-5778 (2015) - [j1]Jayakrushna Sahoo, Ashok Kumar Das, Adrijit Goswami:
An effective association rule mining scheme using a new generic basis. Knowl. Inf. Syst. 43(1): 127-156 (2015) - 2014
- [i1]Jayakrushna Sahoo, Ashok Kumar Das, Adrijit Goswami:
An Algorithm for Mining High Utility Closed Itemsets and Generators. CoRR abs/1410.2988 (2014)
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