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Project nGene.org® - Hemodynamic Software

Symbiotic Machine Learning in Web 4.0

Custom-Built Open-Source Dual-Mode Deep Learning Engine (Under Development):

Balancing Browser-Based Lightweight Algorithms with Local-Backend Intelligence

Homepage    | Machine Learning    | Key Considerations for Designing Deep Learning Algorithm    | Architectural Frameworks to Leverage Ventilation Protocols into Software    | Ventilator Test-Lung    | Federated Learning

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Major:
Minor:
Major: Testcases_nGeneDL_LinearAlgebra
Minor: test_early_stopping

Pulmonary Vascular System


      
    

    
    

      

      

	
Browser-Based PyScript Deep Learning Engine

	
	

	  
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Local-Backended JavaScript Deep Learning Engine

	
	

	
	

	  
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Custom-Built Lightweight Open-Source FastICA Algorithm for In-Browser Use


  
Due to the limitations of Pyodide which does not include support for the librosa Python library, we will exclusively work with WAV files, specifically those with a sample rate of 44100 Hz. No other types of audio files will be considered.

  

    
      
  


  

    
    
  


  
    


	
	



      



    


    














  © 2013 Hyunsuk Frank Roh, MD. All Rights Reserved.

  Project nGene.org® is a registered trademark.

  nGene Hemodynamic Research Center