نتایج جستجو برای: spatiotemporal analysis

تعداد نتایج: 2846431  

2016
V. Capparelli C. Franzke A. Vecchio M. P. Freeman N. W. Watkins

The Open University's repository of research publications and other research outputs A spatiotemporal analysis of U.S. station temperature trends over the last century Journal Article (2013). A spatiotemporal analysis of U.S. station temperature trends over the last century. Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyright ow...

Journal: :IJAGR 2015
Judith Gelernter Kathleen M. Carley

Spatiotemporal social network analysis can show relationships among people at a particular time and location. This paper presents an algorithm that mines text for person and location words and creates connections among words. It shows how this algorithm output, when chunked by time intervals, may be visualized by third-party social network analysis software in the form of standard network pin d...

2016
V. Capparelli C. Franzke A. Vecchio M. P. Freeman N. W. Watkins

The Open University's repository of research publications and other research outputs A spatiotemporal analysis of U.S. station temperature trends over the last century Journal Article (2013). A spatiotemporal analysis of U.S. station temperature trends over the last century. Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyright ow...

Journal: :Vision Research 2011
Barbara Blakeslee Mark E. McCourt

Brightness induction refers to a class of visual illusions in which the perceived intensity of a region of space is influenced by the luminance of surrounding regions. These illusions are significant because they provide insight into the neural organization of the visual system. A novel quadrature-phase motion cancelation technique was developed to measure the magnitude of the grating induction...

2004
Anthony Stefanidis Kristin Eickhorst Peggy Agouris

Efficient modelling of spatiotemporal change as it is depicted in multitemporal imagery is an important step towards the efficient analysis and management of large motion imagery (MI) datasets. Furthermore, the development of concise representation schemes of MI content is essential for the search, retrieval, interchange, query, and visualization of the information included in MI datasets. Towa...

Journal: :Frontiers in Neuroinformatics 2018

Journal: :the archives of bone and joint surgery 0
mokhtar arazpour department of orthotics and prosthetics, university of social welfare and rehabilitation science, tehran, knee and sport medicine education and research center, milad hospital, tehran, iran fateme bahramian knee and sport medicine education and research center, milad hospital, tehran, iran atefe aboutorabi department of orthotics and prosthetics, university of social welfare and rehabilitation science, tehran, knee and sport medicine education and research center, milad hospital, tehran, iran seyed taghi nourbakhsh orthopedic surgeon, knee and sport medicine research and education center, milad hospital, tehran, iran ardeshir alidousti hormozgan university of medical sciences, knee and sport medicine research and education center, milad hospital, tehran, iran hamidreza aslani shahid beheshti university of medical sciences, knee and sport medicine education and research center, milad hospital, tehran, iran

background: patellofemoral pain syndrome (pfps) is one of the most frequent causes of anterior knee pain in adolescents and adults. this disorder can have a big effect on patients’ ability and quality of life and gait.   methods: this review included all articles published during 1990 to 2016. an extensive literature search was performed in databases of science direct, google scholar, pubmed an...

Journal: :ISPRS Int. J. Geo-Information 2015
Shashi Shekhar Zhe Jiang Reem Y. Ali Emre Eftelioglu Xun Tang Venkata M. V. Gunturi Xun Zhou

Explosive growth in geospatial and temporal data as well as the emergence of new technologies emphasize the need for automated discovery of spatiotemporal knowledge. Spatiotemporal data mining studies the process of discovering interesting and previously unknown, but potentially useful patterns from large spatiotemporal databases. It has broad application domains including ecology and environme...

Journal: :INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY 2020

2009

Spatiotemporal data generally undergo fluctuations. Identifying a sequence of changes in spatiotemporal data and investigating patterns of the detected changes are commonly required across many domains for analysis, prediction, and decision-making. However, most current analytical tools do not support both functions, so there has been a limitation in comprehensively analyzing dynamics in ongoin...

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