Jayakrushna Sahoo

According to our database, Jayakrushna Sahoo authored at least 17 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Efficiency and Performance Optimization in Large Language Models through IB Fine-Tuning.

Ashly Ann Jo, Ebin Deni Raj, Jayakrushna Sahoo

ACM Trans. Intell. Syst. Technol., June, 2025

Enhancing mammogram classification using explainable Conditional Self-Attention Generative Adversarial Network.

K. K. Sreekala, Jayakrushna Sahoo

Expert Syst. Appl., 2025

ComFLEX: A Communication efficient FL training framework for Edge computing environments.

Satya Srinivasa Arun Kumar Chavali, Akarsh K. Nair, Jayakrushna Sahoo

Proceedings of the International Wireless Communications and Mobile Computing, 2025

2024

PRIMϵ: Novel Privacy-Preservation Model With Pattern Mining and Genetic Algorithm.

Sheema Madhusudhanan, Arun Cyril Jose, Jayakrushna Sahoo, Reza Malekian

IEEE Trans. Inf. Forensics Secur., 2024

CNN-BLSTM based deep learning framework for eukaryotic kinome classification: An explainability based approach.

Chinju John, Jayakrushna Sahoo, Irish K. Sajan, Manu Madhavan, Oommen K. Mathew

Comput. Biol. Chem., 2024

TransProtFam: A Transformer Derived Deep Learning Model for Hierarchical Protein Family Annotation.

Chinju John, Jayakrushna Sahoo

Proceedings of the IEEE International Conference on Computer Vision and Machine Intelligence, 2024

Mobile_FL: A streamlined FL framework for process optimisation via client clustering using rough c-means algorithm.

Akarsh K. Nair, Jayakrushna Sahoo, Linga Reddy Cenkeramaddi, Gaurav Jaswal, Ebin Deni Raj

Proceedings of the 10th ACM Cyber-Physical System Security Workshop, 2024

2023

Privacy preserving Federated Learning framework for IoMT based big data analysis using edge computing.

Akarsh K. Nair, Jayakrushna Sahoo, Ebin Deni Raj

Comput. Stand. Interfaces, August, 2023

A robust analysis of adversarial attacks on federated learning environments.

Akarsh K. Nair, Ebin Deni Raj, Jayakrushna Sahoo

Comput. Stand. Interfaces, August, 2023

An Exploration and Exploitation-Based Metaheuristic Approach for University Course Timetabling Problems.

Rakesh P. Badoni, Jayakrushna Sahoo, Shwetabh Srivastava, Mukesh Mann, D. K. Gupta, Swati Verma, Predrag S. Stanimirovic, Lev A. Kazakovtsev, Darjan Karabasevic

Axioms, August, 2023

A node combination approach with fuzziness in shortest path problem.

Pushpi Rani, Dilip K. Shaw, Jayakrushna Sahoo

Int. J. Adv. Intell. Paradigms, 2023

Role of Artificial Intelligence in Agriculture: An Analysis and Advancements With Focus on Plant Diseases.

Ruchi Rani, Jayakrushna Sahoo, Sivaiah Bellamkonda, Sumit Kumar, Sanjeev Kumar Pippal

IEEE Access, 2023

2022

MFNet: A Facial Recognition Pipeline for Masked Faces Using FaceNet.

Nikhil Kumar Ghanghor, Chinju John, Jayakrushna Sahoo

Proceedings of the Computer Vision and Image Processing - 7th International Conference, 2022

2016

An efficient fast algorithm for discovering closed+ high utility itemsets.

Jayakrushna Sahoo, Ashok Kumar Das, Adrijit Goswami

Appl. Intell., 2016

2015

An effective association rule mining scheme using a new generic basis.

Jayakrushna Sahoo, Ashok Kumar Das, Adrijit Goswami

Knowl. Inf. Syst., 2015

An efficient approach for mining association rules from high utility itemsets.

Jayakrushna Sahoo, Ashok Kumar Das, Adrijit Goswami

Expert Syst. Appl., 2015

2014

An Algorithm for Mining High Utility Closed Itemsets and Generators.

Jayakrushna Sahoo, Ashok Kumar Das, Adrijit Goswami

CoRR, 2014