Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Brian C. Hadley"'
Autor:
Colin Jaques, Carrie Mason, Thaddaeus A. Webster, Brian C. Hadley, Marissa Dickson, John K Busa
Publikováno v:
Bioprocess and Biosystems Engineering. 44:127-140
The use of Raman models for glucose and phenylalanine concentrations to provide the signal for a control algorithm to continuously adjust the feed rate of two separate supplemental feeds during the fed-batch culture of a CHOK1SV GS-KO® cell line in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c4f50e41f21a7d9f6e7b77edbb46dbe
https://doi.org/10.1007/s00449-020-02429-y
https://doi.org/10.1007/s00449-020-02429-y
Publikováno v:
Biotechnology Progress. 34:730-737
The monitoring and control of bioprocesses is of the utmost importance in order to provide a consistent, safe, and high-quality product for consumers. Current monitoring and control schemes rely on infrequent and time consuming offline sampling metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e43f977d5cf41a55c2e64e537de6df8a
https://doi.org/10.1002/btpr.2633
https://doi.org/10.1002/btpr.2633
Publikováno v:
Rangeland Ecology & Management. 70:644-655
Remotely sensed imagery at multiple spatial scales is used increasingly in conjunction with field data to estimate rangeland indicators (e.g., vegetation cover) and meet the growing need for landscape-scale monitoring and assessment of rangelands. Re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef1312bd19374e4e12cbd3860551cf41
https://doi.org/10.1016/j.rama.2017.02.004
https://doi.org/10.1016/j.rama.2017.02.004
Publikováno v:
Ecological Indicators. 73:156-165
Accurate and timely spatial predictions of vegetation cover from remote imagery are an important data source for natural resource management. High-quality in situ data are needed to develop and validate these products. Point-intercept sampling techni
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::60f45b27a96088ce9a79d24a21fd0610
https://doi.org/10.1016/j.ecolind.2016.09.034
https://doi.org/10.1016/j.ecolind.2016.09.034
Publikováno v:
Biotechnology progress. 34(3)
The monitoring and control of bioprocesses is of the utmost importance in order to provide a consistent, safe, and high-quality product for consumers. Current monitoring and control schemes rely on infrequent and time consuming offline sampling metho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::c7a850795fbc2065c1f165c1b64d6974
https://pubmed.ncbi.nlm.nih.gov/29603893
https://pubmed.ncbi.nlm.nih.gov/29603893
Autor:
Brian C. Hadley, Michael E. Hodgson, Lewis A. Lapine, Maria Garcia-Quijano, John R. Jensen, John B. Gladden
Publikováno v:
Photogrammetric Engineering & Remote Sensing. 74:1137-1146
This research evaluated the vertical accuracy of two lidar-derived elevation datasets acquired from two different altitudes over a clay-capped hazardous waste site located on the Savannah River Site (SRs), South Carolina, using the same Optech ALTM 2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::636962b9364885f420fb31f9815aea64
https://doi.org/10.14358/pers.74.9.1137
https://doi.org/10.14358/pers.74.9.1137
Autor:
Eduarda Teixeira, Zhongwu Wang, Jungho Im, Brian C. Hadley, Bruce A. Davis, Abraham L. Nel, John R. Jensen, Maria Garcia-Quijano
Publikováno v:
Geocarto International. 21:5-18
Effective water resource management improves food production and conserves scare water resources, especially in developing countries such as South Africa. The goal of this project was to assist the Republic of South Africa Department of Water Affairs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d04725b64058f2264829ea8fa136deb3
https://doi.org/10.1080/10106040608542378
https://doi.org/10.1080/10106040608542378
Publikováno v:
Geocarto International. 20:21-28
This paper reports the results of a quantitative comparison of empirical and model based atmospheric correction techniques for the radiometric calibration of a Digital Airborne Imaging Spectrometer (DAIS) 3715 hyperspectral image dataset. Empirical l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::167a3d27dbbef7211ee362eba908bd92
https://doi.org/10.1080/10106040508542360
https://doi.org/10.1080/10106040508542360