Identifying patterns in spatial information: A survey of methods
Explosive growth in geospatial data and the emergence of new spatial technologies
emphasize the need for automated discovery of spatial knowledge. Spatial data mining is …
emphasize the need for automated discovery of spatial knowledge. Spatial data mining is …
[HTML][HTML] A new methodology for automating acoustic emission detection of metallic fatigue fractures in highly demanding aerospace environments: An overview
The acoustic emission (AE) phenomenon has many attributes that make it desirable as a
structural health monitoring or non-destructive testing technique, including the capability to …
structural health monitoring or non-destructive testing technique, including the capability to …
Max-margin early event detectors
The need for early detection of temporal events from sequential data arises in a wide
spectrum of applications ranging from human-robot interaction to video security. While …
spectrum of applications ranging from human-robot interaction to video security. While …
The use of control charts in health-care and public-health surveillance
WH Woodall - Journal of Quality Technology, 2006 - Taylor & Francis
There are many applications of control charts in health-care monitoring and in public-health
surveillance. We introduce these applications to industrial practitioners and discuss some of …
surveillance. We introduce these applications to industrial practitioners and discuss some of …
Prediction of human activity by discovering temporal sequence patterns
Early prediction of ongoing human activity has become more valuable in a large variety of
time-critical applications. To build an effective representation for prediction, human activities …
time-critical applications. To build an effective representation for prediction, human activities …
Steganalysis of LSB encoding in color images
J Fridrich, M Long - … . Proceedings. Latest Advances in the Fast …, 2000 - ieeexplore.ieee.org
Analyzes the security of least significant bit (LSB) embedding for hiding messages in high-
color-depth digital images. We introduce a powerful steganalytic technique that enables us …
color-depth digital images. We introduce a powerful steganalytic technique that enables us …
Statistical challenges facing early outbreak detection in biosurveillance
G Shmueli, H Burkom - Technometrics, 2010 - Taylor & Francis
Modern biosurveillance is the monitoring of a wide range of prediagnostic and diagnostic
data for the purpose of enhancing the ability of the public health infrastructure to detect …
data for the purpose of enhancing the ability of the public health infrastructure to detect …
Computational epidemiology
Computational epidemiology Page 1 88 CommuniCations of thE aCm | july 2013 | vol. 56 | no.
7 review articles an epidemic is said to arise in a community or region when cases of an illness …
7 review articles an epidemic is said to arise in a community or region when cases of an illness …
Spatial variation in search engine queries
Local aspects of Web search-associating Web content and queries with geography-is a topic
of growing interest. However, the underlying question of how spatial variation is manifested …
of growing interest. However, the underlying question of how spatial variation is manifested …
Spatial big data analytics of influenza epidemic in Vellore, India
The study objective is to develop a big spatial data model to predict the epidemiological
impact of influenza in Vellore, India. Large repositories of geospatial and health data provide …
impact of influenza in Vellore, India. Large repositories of geospatial and health data provide …