Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Yi Shiang Shiu"'
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 814 (2023)
Early production warnings are usually labor-intensive, even with remote sensing techniques in highly intensive but fragmented growing areas with various phenological stages. This study used high-resolution unmanned aerial vehicle (UAV) images with a
Externí odkaz:
https://doaj.org/article/5ad566569a414dbeae67d3fec1d345f4
Autor:
Yi-Shiang Shiu, Yung-Chung Chuang
Publikováno v:
Remote Sensing, Vol 11, Iss 2, p 111 (2019)
Precisely estimating the yield of paddy rice is crucial for national food security and development evaluation. Rice yield estimation based on satellite imagery is usually performed with global regression models; however, estimation errors may occur b
Externí odkaz:
https://doaj.org/article/2fc912942a5d44158c66a6920d8ba0a2
Publikováno v:
International Review for Spatial Planning and Sustainable Development. 9:10-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6a9852cd3b938d02352995c7aae782e
https://doi.org/10.14246/irspsd.9.1_10
https://doi.org/10.14246/irspsd.9.1_10
Autor:
Yung-Chung Matt Chuang, Yi-Shiang Shiu
Publikováno v:
Sensors, Vol 16, Iss 5, p 594 (2016)
Tea is an important but vulnerable economic crop in East Asia, highly impacted by climate change. This study attempts to interpret tea land use/land cover (LULC) using very high resolution WorldView-2 imagery of central Taiwan with both pixel and obj
Externí odkaz:
https://doaj.org/article/6281e27d15d4478c9965050261307f64
Publikováno v:
Computers & Electrical Engineering. 49:221-235
Display Omitted The development of a Mobile Health Information Recommendation system which integrates Cloud Computing, and Context-aware technology, and applies Collaborative Filtering technique for information recommendation.Through the collaborativ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2bdff57c01cdcbc2f436c844875846a9
https://doi.org/10.1016/j.compeleceng.2015.07.017
https://doi.org/10.1016/j.compeleceng.2015.07.017
Autor:
Yung-Chung Chuang, Yi-Shiang Shiu
Publikováno v:
The Science of the total environment.
Development in mountainous areas is inevitable in countries with high population densities, but the actual relationship between development and landslides remains uncertain. Clarifying the key current or historical factors resulting in landslides is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1205b6c9c1ae3c11523f5b65c7ff00e9
https://pubmed.ncbi.nlm.nih.gov/29890594
https://pubmed.ncbi.nlm.nih.gov/29890594
Publikováno v:
Journal of Earth Science and Engineering. 7
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4eee26a8c6e00e7fe7ff269f4d2e4345
https://doi.org/10.17265/2159-581x/2017.03.001
https://doi.org/10.17265/2159-581x/2017.03.001
Publikováno v:
Human Interface and the Management of Information: Supporting Learning, Decision-Making and Collaboration ISBN: 9783319585239
HCI (4)
HCI (4)
In this paper, we present a mobile-based participatory sensing method to engage citizens’ participation in the living quality evaluation. The system called City Probe consists of the APP and the platform to provide the location-based services. City
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::774571bbf10a45ce7b7272d0122faeeb
https://doi.org/10.1007/978-3-319-58524-6_41
https://doi.org/10.1007/978-3-319-58524-6_41
Autor:
Yi-Shiang Shiu, Yung-Chung Matt Chuang
Publikováno v:
Sensors, Vol 16, Iss 5, p 594 (2016)
Sensors; Volume 16; Issue 5; Pages: 594
Sensors (Basel, Switzerland)
Sensors; Volume 16; Issue 5; Pages: 594
Sensors (Basel, Switzerland)
Tea is an important but vulnerable economic crop in East Asia, highly impacted by climate change. This study attempts to interpret tea land use/land cover (LULC) using very high resolution WorldView-2 imagery of central Taiwan with both pixel and obj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c006b08195dbd824b6132f712dfcc8b8
http://www.mdpi.com/1424-8220/16/5/594
http://www.mdpi.com/1424-8220/16/5/594
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783319467702
CDVE
CDVE
In this paper, we introduce the City Probe, a participatory sensing system that can quantify citizens’ perception of places. City Probe recruits citizens to participate in the spatial identification and assessment. It includes the smartphone APP th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::622d6f58da5eba3d082941208a342403
https://doi.org/10.1007/978-3-319-46771-9_9
https://doi.org/10.1007/978-3-319-46771-9_9