Peak Pattern Classification in Mass Spectrometer Data using Deep Learning Techniques-Reference-Cited by-同舟云学术

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Peak Pattern Classification in Mass Spectrometer Data using Deep Learning Techniques

Published:2024-05-02 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 International Conference on Electronics, Computing, Communication and Control Technology (ICECCC)
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Author:

K Ushas A¹,B Dhanya M²,Panachakel Jerrin Thomas¹,S Deepak³,H Viji⁴,Thampi Smitha V²,Thampi R Satheesh²

Affiliation:

1. College of Engineering Trivandrum,Department of CSE,Thiruvananthapuram,India

2. ISRO,Space Physics Laboratory, VSSC,Thiruvananthapuram,India

3. Govt. Engineering College,Department of ECE,Thrissur,India

4. Computer & IT Group VSSC, ISRO,Thiruvananthapuram,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10592863/10592866/10593905.pdf?arnumber=10593905

Reference12 articles.

1. Chandra’s Atmospheric Composition Explorer-2 Onboard Chandrayaan-2 to Study the Lunar Neutral Exosphere

2. Argon‐40 in Lunar Exosphere: Observations From CHACE‐2 on Chandrayaan‐2 Orbiter

3. Peak Filter Algorithm for the calibration of mass spectra from CHACE-2 aboard Chandrayaan-2 orbiter

4. Machine learning approaches for automatic classification of single-particle mass spectrometry data;Guanzhong;EGU sphere,2023

5. 1D-CNN Network Based Real-Time Aerosol Particle Classification With Single-Particle Mass Spectrometry

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