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Queyam, Abdullah Bin
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1

A Non-Invasive Multi-Parameter System for Feto-Maternal Wel..:

, In: 2024 11th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO),
Patel, Meghal ; Queyam, Abdullah Bin - p. 1-6 , 2024
Link: https://doi.org/10.1109/..
 
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2

LabVIEW-Enabled Synthetic Signal for Empowering Fetal-Mater..:

Queyam, Abdullah Bin ; Kumar, Ramesh ; Ratnesh, Ratneshwar Kumar.
ECS Journal of Solid State Science and Technology.  13 (2024)  5 - p. 057005 , 2024
Link: https://doi.org/10.1149/..
 
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3

Simulation and Analysis of Heart Disease Predictor Using Ma..:

, In: 2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT),
Queyam, Abdullah Bin ; Dixit, Ashutosh ; Kumar, Indubhushan. - p. 1-5 , 2024
Link: https://doi.org/10.1109/..
 
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4

Quantification of Feto-Maternal Heart Rate from Abdominal E..:

Bin Queyam, Abdullah ; Kumar Pahuja, Sharvan ; Singh, Dilbag
Technologies.  5 (2017)  4 - p. 68 , 2017
Link: https://doi.org/10.3390/..
 
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5

N on - Invasive Feto - Maternal Well - Being Monitoring: A ..:

Abdullah Bin Queyam ; Sharvan Kumar Pahuja ; Dilbag Singh
http://www.jestr.org/downloads/Volume10Issue1/fulltext251012017.pdf.  , 2017
Link: https://doaj.org/article..
 
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6

Quantification of Feto-Maternal Heart Rate from Abdominal E..:

Abdullah Bin Queyam ; Sharvan Kumar Pahuja ; Dilbag Singh
Assistive Technologies.  , 2017
Link: https://doi.org/10.3390/..
 
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7

Quantification of Feto-Maternal Heart Rate from Abdominal E..:

Abdullah Bin Queyam ; Sharvan Kumar Pahuja ; Dilbag Singh
https://www.mdpi.com/2227-7080/5/4/68.  , 2017
Link: https://doi.org/10.3390/..
 
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