Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Claire D'Este"'
Publikováno v:
Information Processing in Agriculture, Vol 1, Iss 1, Pp 42-50 (2014)
Shellfish farms are closed for harvest when microbial pollutants are present. Such pollutants are typically present in rainfall runoff from various land uses in catchments. Experts currently use a number of observable parameters (river flow, rainfall
Externí odkaz:
https://doaj.org/article/5b0668e8c88a4e6c953fbeaa07347363
Publikováno v:
Sensors, Vol 12, Iss 7, Pp 9476-9501 (2012)
Online automated quality assessment is critical to determine a sensor’s fitness for purpose in real-time applications. A Dynamic Bayesian Network (DBN) framework is proposed to produce probabilistic quality assessments and represent the uncertainty
Externí odkaz:
https://doaj.org/article/c59752f62f1848fab6bda3435ba9f468
Publikováno v:
Sensors, Vol 12, Iss 3, Pp 2874-2898 (2012)
When designing sensor networks, we need to ensure they produce representative and relevant data, but this must be offset by the financial cost of placing sensors. We describe a novel automated method for generating and combining cost and benefit valu
Externí odkaz:
https://doaj.org/article/d6e1567c660b4ab386b157cecbc12105
Autor:
Ashfaqur Rahman, Claire D'Este
Publikováno v:
Computers and Electronics in Agriculture. 110:241-248
A novel application of machine learning to identify the cause of closure of shellfish farms.A novel feature ranking algorithm that deals with class imbalance problem.A novel class balancing ensemble classifier to predict the shellfish farm closure. S
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88b23ca01a8b19bb541d122cf3bdcbf9
https://doi.org/10.1016/j.compag.2014.11.023
https://doi.org/10.1016/j.compag.2014.11.023
Publikováno v:
Engineering Applications of Artificial Intelligence. 34:58-65
Spatially distributed regions may have different influences that affect the underlying physical processes and make it inappropriate to directly relocate learned models. We may also be aiming to detect rare events for which we have examples in some re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e445fec0d9b2ff2602ba5b866b6c0fb
https://doi.org/10.1016/j.engappai.2014.05.007
https://doi.org/10.1016/j.engappai.2014.05.007
Publikováno v:
Information Processing in Agriculture, Vol 1, Iss 1, Pp 42-50 (2014)
Shellfish farms are closed for harvest when microbial pollutants are present. Such pollutants are typically present in rainfall runoff from various land uses in catchments. Experts currently use a number of observable parameters (river flow, rainfall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bc643677f72fe32952727c7d5ada348
https://doi.org/10.1016/j.inpa.2014.05.001
https://doi.org/10.1016/j.inpa.2014.05.001
Publikováno v:
Journal of Field Robotics. 32:152-166
Passive acoustics represent a low-cost approach to detecting and avoiding other marine vehicles using limited computing and power resources. We present a robust safety behavior for long-term environmental sensing of rivers and estuaries demonstrated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53113534875d10482ddba73420fd2171
https://doi.org/10.1002/rob.21529
https://doi.org/10.1002/rob.21529
Publikováno v:
Environmental Modelling & Software. 52:264-272
The purpose of this research was to develop a knowledge recommendation architecture based on unsupervised machine learning and unified resource description framework (RDF) for integrated environmental sensory data sources. In developing this architec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40136c0ba551bc291e23f03c089c87e9
https://doi.org/10.1016/j.envsoft.2013.10.004
https://doi.org/10.1016/j.envsoft.2013.10.004
Autor:
Claire D'Este, Ritaban Dutta
Publikováno v:
International Journal of Research in Engineering and Technology. :248-253
In this paper artificial neural network based senso r informatics architecture has been investigated; i ncluding proposed continuous daily estimation of area wise surface soil moisture using cosmic ray sensor’s neutron count time serie s. Study was
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ddc48931adf8ff3a0777e704edf11e8
https://doi.org/10.15623/ijret.2013.0208040
https://doi.org/10.15623/ijret.2013.0208040
Publikováno v:
Sensors, Vol 12, Iss 7, Pp 9476-9501 (2012)
Sensors; Volume 12; Issue 7; Pages: 9476-9501
Sensors (Basel, Switzerland)
Sensors; Volume 12; Issue 7; Pages: 9476-9501
Sensors (Basel, Switzerland)
Online automated quality assessment is critical to determine a sensor's fitness for purpose in real-time applications. A Dynamic Bayesian Network (DBN) framework is proposed to produce probabilistic quality assessments and represent the uncertainty o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bbff551156155f9019c83674dbc027dd
http://www.mdpi.com/1424-8220/12/7/9476
http://www.mdpi.com/1424-8220/12/7/9476