Pronab Ghosh
Orcid: 0000-0002-5524-2328
  According to our database1,
  Pronab Ghosh
  authored at least 16 papers
  between 2019 and 2025.
  
  
Collaborative distances:
Collaborative distances:
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Bibliography
  2025
Advances in Artificial Intelligence and Blockchain Technologies for Early Detection of Human Diseases.
    
  
    IEEE Trans. Comput. Soc. Syst., February, 2025
    
  
Optimizing Data Stream Freshness for Enhanced Communication in Autonomous Vehicle Networks.
    
  
    Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025
    
  
  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
    
  
Hybrid Reinforcement Learning for Data Stream Freshness in Autonomous Vehicle Networks.
    
  
    Proceedings of the 2024 IEEE Global Communications 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
    
  
    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
    
  
    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
    Proceedings of the 2019 International Conference on Information Technology (ICIT), 2019