Rapid Quantification of NaDCC for Water Purification Tablets in Commercial Production Using ATR-FTIR Spectroscopy Based on Machine Learning Techniques

Hamzeh Asadi; Tom O’Mahony; Julie Lambert; Kenneth N Brown

Rapid Quantification of NaDCC for Water Purification Tablets in Commercial Production Using ATR-FTIR Spectroscopy Based on Machine Learning Techniques

Hamzeh Asadi
, Tom O’Mahony
, Julie Lambert
, Kenneth N Brown

School of Computer Science and Information Technology

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

Original language	English
Title of host publication	Irish Conference on Artificial Intelligence and Cognitive Science
Pages	106-120
Number of pages	15
Publication status	Published - 2022

Cite this

@inproceedings{b4637997aefd47b3a20ef8745fba1350,

title = "Rapid Quantification of NaDCC for Water Purification Tablets in Commercial Production Using ATR-FTIR Spectroscopy Based on Machine Learning Techniques",

author = "Hamzeh Asadi and Tom O{\textquoteright}Mahony and Julie Lambert and Brown, \{Kenneth N\}",

year = "2022",

language = "English",

pages = "106--120",

booktitle = "Irish Conference on Artificial Intelligence and Cognitive Science",

}

Rapid Quantification of NaDCC for Water Purification Tablets in Commercial Production Using ATR-FTIR Spectroscopy Based on Machine Learning Techniques. / Asadi, Hamzeh; O’Mahony, Tom; Lambert, Julie et al.
Irish Conference on Artificial Intelligence and Cognitive Science. 2022. p. 106-120.

Research output: Chapter in Book/Report/Conference proceedings › Conference proceeding › peer-review

TY - GEN

T1 - Rapid Quantification of NaDCC for Water Purification Tablets in Commercial Production Using ATR-FTIR Spectroscopy Based on Machine Learning Techniques

AU - Asadi, Hamzeh

AU - O’Mahony, Tom

AU - Lambert, Julie

AU - Brown, Kenneth N

PY - 2022

Y1 - 2022

M3 - Conference proceeding

SP - 106

EP - 120

BT - Irish Conference on Artificial Intelligence and Cognitive Science

ER -