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  Published Paper Details:

  Paper Title

Review on Sensor Data Acquisition With LabVIEW

  Authors

  Samrudhi .S. Chidrwar,  Sumeet saibi,  Parimal Patil

  Keywords

LabVIEW software, Machine Learning, Sensors, Data Acquisition

  Abstract


In recent years many techniques has shown potential in solving the real-world problems. The objective of this paper is to put together the popular optimization techniques for understanding and utilize them for the benefit of the society. The early prediction of the disease can help the social health to be more leaning towards positive ratio. The main aim is to make the person aware about the health and the problems that he will be facing. This can lead the person to consult the doctor or physician at the correct time and acquire proper treatment or measures as required. As it is well said, precautions are better than cure, one must be cautious about the health factor and look deep into it. This project aims at spreading awareness among people by using different biomedical sensors that are available. For the easy analysis of the data that is been collected in the real time can be graphically represented by using the most popular LabVIEW software. Looking forward into the global technical world around, we can see the new technologies like artificial intelligence and machine learning emerging into the data handling. This machine learning will help us to calculate and optimize accurate results and the prediction rate would be more efficient.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT23A5480

  Paper ID - 238837

  Page Number(s) - M533-M538

  Pubished in - Volume 11 | Issue 5 | May 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Samrudhi .S. Chidrwar,  Sumeet saibi,  Parimal Patil,   "Review on Sensor Data Acquisition With LabVIEW", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 5, pp.M533-M538, May 2023, Available at :http://www.ijcrt.org/papers/IJCRT23A5480.pdf

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ISSN: 2320-2882
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Journal Starting Year (ESTD) : 2013
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
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