Sanam Narejo
Orcid: 0000-0002-3537-8949
  According to our database1,
  Sanam Narejo
  authored at least 18 papers
  between 2015 and 2025.
  
  
Collaborative distances:
Collaborative distances:
Timeline
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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    on orcid.org
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Bibliography
  2025
A Machine Learning Framework for Major Depressive Disorder (MDD) Detection Using Non-invasive EEG Signals.
    
  
    Wirel. Pers. Commun., January, 2025
    
  
Optimizing Route Efficiency in Formula One (F1) Vehicles Using Reinforcement Learning Algorithms.
    
  
    Proceedings of the 4th IEEE International Conference on AI in Cybersecurity, 2025
    
  
  2024
Clustering uncertain overlapping symptoms of multiple diseases in clinical diagnosis.
    
  
    PeerJ Comput. Sci., 2024
    
  
  2023
Correction to: A review of machine learning-based human activity recognition for diverse applications.
    
  
    Neural Comput. Appl., March, 2023
    
  
  2022
Scientific Workflow Makespan Minimization in Edge Multiple Service Providers Environment.
    
  
    Wirel. Pers. Commun., 2022
    
  
    Wirel. Pers. Commun., 2022
    
  
A review of machine learning-based human activity recognition for diverse applications.
    
  
    Neural Comput. Appl., 2022
    
  
Big data analytics and classification of cardiovascular disease using machine learning.
    
  
    J. Intell. Fuzzy Syst., 2022
    
  
  2021
Novel Cost Efficient Resource Allocation Technique Based on Deadline and Budget Constraints for Edge Users.
    
  
    Wirel. Pers. Commun., 2021
    
  
    PeerJ Comput. Sci., 2021
    
  
    Proceedings of the Pattern Recognition and Artificial Intelligence, 2021
    
  
  2020
Short-Term Prediction Model for Multi-currency Exchange Using Artificial Neural Network.
    
  
    Proceedings of the 3rd International Conference on Information and Computer Technologies, 2020
    
  
  2018
    Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018
    
  
A Predictive Model of Artificial Neural Network for Fuel Consumption in Engine Control System.
    
  
    Proceedings of the Multidisciplinary Approaches to Neural Computing, 2018
    
  
    PhD thesis, 2018
    
  
  2015
Automated Extraction of the Coronary Tree by Integrating Localized Aorta-Based Intensity Distribution Statistics in Active Contour Segmentation.
    
  
    Proceedings of the International Conference on Developments of E-Systems Engineering, 2015