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The surveillance state of behavioral automation

open access: yesCurrent Opinion in Neurobiology, 2012
Genetics' demand for increased throughput is driving automatization of behavior analysis far beyond experimental workhorses like circadian monitors and the operant conditioning box. However, the new automation is not just faster: it is also allowing new kinds of experiments, many of which erase the boundaries of the traditional neuroscience disciplines
Schaefer, A., Claridge-Chang, A.
openaire   +3 more sources

Spread of Carbapenem-Resistant Klebsiella pneumoniae in Hub and Spoke Connected Health-Care Networks: A Case Study from Italy

open access: yesMicroorganisms, 2019
The study describes the spread of carbapenem-resistant Klebsiella pneumoniae (CRKP) in a regional healthcare network in Italy. The project included several stages: (1) Establishment of a laboratory-based regional surveillance network, including all the ...
Pamela Barbadoro   +6 more
doaj   +1 more source

Human Activity Recognition by Edge Computing Based Convolutional Neural Network [PDF]

open access: yesITM Web of Conferences, 2023
Human activity recognition has become a hotly debated research topic due to its numerous important and futuristic applications, such as automated surveillance, automated vehicles, language interpretation, and human-computer interfaces. (HCI).
Jange Usha S., Rajeshwari B.
doaj   +1 more source

Automated UAV tasks for search and surveillance [PDF]

open access: yes2016 IEEE Conference on Control Applications (CCA), 2016
There is growing interest in using unmanned aerial vehicles to assist in operations that require search and surveillance. However, a challenge remains in providing the right level of automation. Manual teleoperation and waypoint-based planning provide a great deal of flexibility but require significant human effort, whereas high levels of automation ...
Kingston, Derek   +2 more
openaire   +2 more sources

Sufficient reduction methods for multivariate health surveillance [PDF]

open access: yes, 2013
Surveillance systems aim to detect sudden changes or aberrations in data series which might signal the possibility of disease outbreaks. Early detection with a low false alarm rate (FAR) is the main aim of outbreak detection as used in health ...
Siripanthana, Sawaporn
core   +6 more sources

Facing Surveillance: Personified Surveillance, Algorithmic Injustice, and the Myth of Big Brother in Post-Snowden Popular Culture

open access: yes, 2022
This article examines an archive of recent films, fiction, and interactive media that use personified representations of surveillance to depict and critique real-world surveillance practices.
Kelly, Nicholas
core   +1 more source

From Banal Surveillance to Function Creep: Automated License Plate Recognition (ALPR) in Denmark

open access: yes, 2022
This article discusses how Automated License Plate Recognition (ALPR) has been implemented in Denmark across three different sectors: parking, environmental zoning, and policing.
Raetzsch, Christoph, Pereira, Gabriel
core   +1 more source

Crowd Anomaly Detection for Automated Video Surveillance [PDF]

open access: yes6th International Conference on Imaging for Crime Prevention and Detection (ICDP-15), 2015
Video-based crowd behaviour detection aims at tackling challenging problems such as automating and identifying changing crowd behaviours under complex real life situations. In this paper, real-time crowd anomaly detection algorithms have been investigated.
Jing Wang 0033, Zhijie Xu
openaire   +1 more source

Current state and potential of hospitals for automated healthcare-associated infection surveillance: data from 24 European countries, 2022 to 2023

open access: yesEurosurveillance
BACKGROUND Although electronic health records are increasingly used for automated surveillance (AS) of healthcare-associated infections (HAIs), implementation is still a challenge.
ECDC PPS study group on automated surveillance of HAIs
doaj   +1 more source

Review of software for space-time disease surveillance

open access: yesInternational Journal of Health Geographics, 2010
Disease surveillance makes use of information technology at almost every stage of the process, from data collection and collation, through to analysis and dissemination.
Nelson Trisalyn A, Robertson Colin
doaj   +1 more source

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