Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Darian Frajberg"'
Publikováno v:
Day 2 Tue, November 01, 2022.
Shell Autonomous Integrity Recognition (AIR) on C3 AI Platform is an Artificial Intelligence (AI) application that allows pressure equipment and structural steel inspectors to quickly and easily make use of automated image capture and evaluation to s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4df5f6aa552e9ad028cd58219dc9d129
https://doi.org/10.2118/211838-ms
https://doi.org/10.2118/211838-ms
Publikováno v:
Applied Geomatics. 12:225-246
Landform detection and analysis from Digital Elevation Models (DEM) of the Earth has been boosted by the availability of high-quality public data sets. Current landform identification methods apply heuristic algorithms based on predefined landform fe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d8363a2095088dd597d30215d135c87
https://doi.org/10.1007/s12518-019-00295-2
https://doi.org/10.1007/s12518-019-00295-2
Publikováno v:
Virtual Reality. 24:123-141
Virtual reality is a powerful interaction mechanism that holds the promise of engaging users, not only for entertainment, but also for social and environmental purposes. In this paper we present PeakLensVR, a virtual reality mobile application that e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf3f98ad106dcd8d92591cfaf3d0e37f
https://doi.org/10.1007/s10055-019-00385-x
https://doi.org/10.1007/s10055-019-00385-x
Publikováno v:
Artificial Intelligence and Mobile Services – AIMS 2019-8th International Conference, Held as Part of the Services Conference Federation, SCF 2019, San Diego, CA, USA, June 25–30, 2019, Proceedings
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::a516a80495d972a6c7629189cb99ecc3
Autor:
Chenhao Tan, David J. Crandall, Darian Frajberg, Joni Salminen, Juhi Kulshrestha, Amit Sharma, Rumi Chunara, Megan French, Jisun An, Bernard J. Jansen, Samuel Hardman Taylor, Amit Sheth, Daniel M. Romero, Sanjaya Wijeratne, Yelena Mejova
Publikováno v:
AI Magazine; Vol 39 No 4: Winter 2018; 36-44
The Workshop Program of the Association for the Advancement of Artificial Intelligence’s 12th International Conference on Web and Social Media (AAAI-18) was held at Stanford University, Stanford, California USA, on Monday, June 25, 2018. There were
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da0f127924b9ec56f9de58b654668161
http://aaai.org/ojs/index.php/aimagazine/article/view/2835
http://aaai.org/ojs/index.php/aimagazine/article/view/2835
Publikováno v:
DSAA
Open Source Geographical Information Systems, such as OpenStreetMap (OSM), offer a valuable alternative to proprietary solutions for the development of voluntary environment monitoring systems. However, the quantity and quality of information stored
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e616810edb912062c2890fbffd4d79fe
http://hdl.handle.net/11311/1107584
http://hdl.handle.net/11311/1107584
Web applications must quickly adapt to new business demands to keep clients onboard. When unexpected and unforeseen requirements appear, the changes pose challenges to software engineers as they were not considered in the application design and such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::61a4c1284364b785f28ae83ad135dae5
Wiley Online Library
Wiley Online Library
Publikováno v:
AIKE
Analyzing Digital Elevation Model (DEM) data to identify and classify landforms is an important task, which can contribute to improve the availability and quality of public open source cartography and to develop novel applications for tourism and env
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b89318a34a0942618ea443d0c46dd68e
http://hdl.handle.net/11311/1107587
http://hdl.handle.net/11311/1107587
Publikováno v:
WWW (Companion Volume)
Location-based mobile outdoor applications are powerful tools that can engage users in social and environmental tasks and support the emerging paradigm of citizen science. In this paper we present PeakLensVR, a virtual reality location-based mobile a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebe6f95a478e5564bc07451bb2a53461
http://hdl.handle.net/11311/1061230
http://hdl.handle.net/11311/1061230
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2017 ISBN: 9783319686110
ICANN (2)
ICANN (2)
Outdoor augmented reality applications are an emerging class of software systems that demand the fast identification of natural objects, such as plant species or mountain peaks, in low power mobile devices. Convolutional Neural Networks (CNN) have ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9c701ab331be118465d5b92ee847cdf6
http://hdl.handle.net/11311/1058516
http://hdl.handle.net/11311/1058516