Overcoming the challenges of noisy data during the calibration of NIR As a PAT technique to measure roller compacted ribbon density

Mary Ellen Crowley; Avril Hegarty; Michael McAuliffe; Graham O'Mahony; Luke Kiernan; Kevin Hayes; Abina Crean

Overcoming the challenges of noisy data during the calibration of NIR As a PAT technique to measure roller compacted ribbon density

Mary Ellen Crowley
, Avril Hegarty
, Michael McAuliffe
, Graham O'Mahony
, Luke Kiernan
, Kevin Hayes
, Abina Crean

School of Pharmacy

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

Original language	English
Title of host publication	Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting
Publisher	AIChE
Pages	145-149
Number of pages	5
ISBN (Electronic)	9781510834453
Publication status	Published - 2016
Event	Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting - San Francisco, United States Duration: 13 Nov 2016 → 18 Nov 2016

Publication series

Name	Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting

Conference

Conference	Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting
Country/Territory	United States
City	San Francisco
Period	13/11/16 → 18/11/16

Cite this

Crowley, M. E., Hegarty, A., McAuliffe, M., O'Mahony, G., Kiernan, L., Hayes, K., & Crean, A. (2016). Overcoming the challenges of noisy data during the calibration of NIR As a PAT technique to measure roller compacted ribbon density. In Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting (pp. 145-149). (Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting). AIChE.

Crowley, Mary Ellen ; Hegarty, Avril ; McAuliffe, Michael et al. / Overcoming the challenges of noisy data during the calibration of NIR As a PAT technique to measure roller compacted ribbon density. Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting. AIChE, 2016. pp. 145-149 (Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting).

@inproceedings{1f6e319d05f74cbda582f0091946a0fa,

title = "Overcoming the challenges of noisy data during the calibration of NIR As a PAT technique to measure roller compacted ribbon density",

author = "Crowley, \{Mary Ellen\} and Avril Hegarty and Michael McAuliffe and Graham O'Mahony and Luke Kiernan and Kevin Hayes and Abina Crean",

year = "2016",

language = "English",

series = "Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting",

publisher = "AIChE",

pages = "145--149",

booktitle = "Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting",

note = "Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting ; Conference date: 13-11-2016 Through 18-11-2016",

}

Crowley, ME, Hegarty, A, McAuliffe, M, O'Mahony, G, Kiernan, L, Hayes, K & Crean, A 2016, Overcoming the challenges of noisy data during the calibration of NIR As a PAT technique to measure roller compacted ribbon density. in Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting. Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting, AIChE, pp. 145-149, Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting, San Francisco, United States, 13/11/16.

Overcoming the challenges of noisy data during the calibration of NIR As a PAT technique to measure roller compacted ribbon density. / Crowley, Mary Ellen; Hegarty, Avril; McAuliffe, Michael et al.
Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting. AIChE, 2016. p. 145-149 (Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting).

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

TY - GEN

T1 - Overcoming the challenges of noisy data during the calibration of NIR As a PAT technique to measure roller compacted ribbon density

AU - Crowley, Mary Ellen

AU - Hegarty, Avril

AU - McAuliffe, Michael

AU - O'Mahony, Graham

AU - Kiernan, Luke

AU - Hayes, Kevin

AU - Crean, Abina

PY - 2016

Y1 - 2016

UR - https://www.scopus.com/pages/publications/85019076381

M3 - Conference proceeding

AN - SCOPUS:85019076381

T3 - Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting

SP - 145

EP - 149

BT - Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting

PB - AIChE

T2 - Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting

Y2 - 13 November 2016 through 18 November 2016

ER -

Crowley ME, Hegarty A, McAuliffe M, O'Mahony G, Kiernan L, Hayes K et al. Overcoming the challenges of noisy data during the calibration of NIR As a PAT technique to measure roller compacted ribbon density. In Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting. AIChE. 2016. p. 145-149. (Pharmaceutical Discovery, Development and Manufacturing Forum 2016 - Core Programming Area at the 2016 AIChE Annual Meeting).

Overcoming the challenges of noisy data during the calibration of NIR As a PAT technique to measure roller compacted ribbon density

Publication series

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Cite this