Pronab Ghosh

Orcid: 0000-0002-5524-2328

According to our database1, Pronab Ghosh authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
An Intelligent Thyroid Diagnosis System Utilizing Multiple Ensemble and Explainable Algorithms With Medical Supported Attributes.
IEEE Trans. Artif. Intell., June, 2024

Maximizing Group-Based Vehicle Communications and Fairness: A Reinforcement Learning Approach.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

2023
AlzheimerNet: An Effective Deep Learning Based Proposition for Alzheimer's Disease Stages Classification From Functional Brain Changes in Magnetic Resonance Images.
IEEE Access, 2023

MCFGV: Maximizing Communications and Fairness for Groups of Vehicles.
Proceedings of the 34th IEEE Annual International Symposium on Personal, 2023

2022
Early Prediction of Chronic Kidney Disease: A Comprehensive Performance Analysis of Deep Learning Models.
Algorithms, 2022

A Machine Learning based Proposition for Automated and Methodical Prediction of Liver Disease.
Proceedings of the 10th International Conference on Computer and Communications Management, 2022

A Robust Deep Learning based Framework for High-Precision Detection of Liver Disease.
Proceedings of the 10th International Conference on Computer and Communications Management, 2022

2021
Efficient Prediction of Cardiovascular Disease Using Machine Learning Algorithms With Relief and LASSO Feature Selection Techniques.
IEEE Access, 2021

A Comparative Study of Different Machine Learning Tools in Detecting Diabetes.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, 2021

A Performance Based Study on Deep Learning Algorithms in the Effective Prediction of Breast Cancer.
Proceedings of the International Joint Conference on Neural Networks, 2021

Use of Efficient Machine Learning Techniques in the Identification of Patients with Heart Diseases.
Proceedings of the ICISDM 2021: 2021 the 5th International Conference on Information System and Data Mining, Silicon Valley, CA, USA, May 27, 2021

A Robust Deep Learning based Prediction System of Heart Disease using a Combination of Five Datasets.
Proceedings of the 31st International Conference on Computer Theory and Applications, 2021

2019
A Variable Length Key Based Cryptographic Approach on Cloud Data.
Proceedings of the 2019 International Conference on Information Technology (ICIT), 2019


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