Zobrazeno 1 - 10
of 581
pro vyhledávání: '"K Bittner"'
Autor:
Micaela Gobeille, Ava K. Bittner, Alexis G. Malkin, Jeffrey Ho, Cecilia Idman-Rait, Max Estabrook, Nicole C. Ross, for the CARE Study Team
Publikováno v:
Health and Quality of Life Outcomes, Vol 22, Iss 1, Pp 1-10 (2024)
Abstract Background While general self-efficacy is known to relate to achievement in many areas, it has rarely been evaluated in individuals with low vision. Here we explore the psychometric properties and targeting of the New General Self Efficacy S
Externí odkaz:
https://doaj.org/article/48f1dc8dd1a2419c9cc2dd764b2354f5
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-2-2024, Pp 81-88 (2024)
Recent advancements in deep learning have enabled the possibility to identify unit-level building sections from very high resolution satellite images. By learning from the examples, deep models can capture patterns from the low-resolution roof textur
Externí odkaz:
https://doaj.org/article/949fbcbbac9a4633a858e0cba2ca1f36
Autor:
D. Panangian, K. Bittner
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-2-2024, Pp 185-192 (2024)
A low-resolution digital surface model (DSM) features distinctive attributes impacted by noise, sensor limitations and data acquisition conditions, which failed to be replicated using simple interpolation methods like bicubic. This causes super-resol
Externí odkaz:
https://doaj.org/article/8f56c7ad82eb43a289fd850b425a235e
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-2-2024, Pp 217-222 (2024)
Nowadays, deep learning allows to automatically learn features from data. Buildings are one of the most important objects in urban environments. They are used in applications such as inputs to building reconstruction, disaster monitoring, city planin
Externí odkaz:
https://doaj.org/article/7ddedc3aa734427998f00c5f96bd0ef4
Autor:
G. Mutreja, K. Bittner
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 315-321 (2023)
This research paper presents a comprehensive evaluation of various self-supervised learning models for building roof type classification. We conduct linear evaluation experiments for the models pretrained on both the ImageNet1K dataset and a custom b
Externí odkaz:
https://doaj.org/article/c1fe5a3d11af475bbcd0976e6f10170a
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-1-W1-2023, Pp 925-933 (2023)
Remotely sensed Earth elevation data or digital surface model (DSM) typically contains both terrain and above-ground information such as vegetation and man-made constructions. However, many applications require pure bare-terrain data, also known as d
Externí odkaz:
https://doaj.org/article/b2181fc12862476d9651ca824cb63ef8
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-1-W1-2023, Pp 971-979 (2023)
Deep learning is a powerful tool to extract both individual building and roof plane polygons. But deep learning requires a large amount of labeled data. Hence, publicly available level of detail (LoD)-2 datasets are a natural choice to train fully co
Externí odkaz:
https://doaj.org/article/882fb534da7a4ee29c1cc889ebe535d1
Autor:
Edmund Arthur, Swetha Ravichandran, Peter J. Snyder, Jessica Alber, Jennifer Strenger, Ava K. Bittner, Rima Khankan, Stephanie L. Adams, Nicole M. Putnam, Karin R. Lypka, Juan A. Piantino, Stuart Sinoff
Publikováno v:
Alzheimer’s Research & Therapy, Vol 15, Iss 1, Pp 1-15 (2023)
Abstract Background Compared to standard neuro-diagnostic techniques, retinal biomarkers provide a probable low-cost and non-invasive alternative for early Alzheimer’s disease (AD) risk screening. We have previously quantified the periarteriole and
Externí odkaz:
https://doaj.org/article/7792c22f00984214abe1f046f4dd8b47
Autor:
C Goudelocke, H Ruiz, B Linder, G Villegas, K Shah, J Slopsema, K Bittner, X Li, N Carlson, L Jungbauer Nikolas
Publikováno v:
Continence, Vol 7, Iss , Pp 100935- (2023)
Externí odkaz:
https://doaj.org/article/267fa4e006994d0f82ac09a5003f198b
Publikováno v:
Environmental Advances, Vol 12, Iss , Pp 100369- (2023)
Amines are being widely used in industrial, chemical and pharmaceutical industries. Yet, few studies involve simple inexpensive methods to determine the presence or concentrations of these compounds in surface water. Many molecular probes used for th
Externí odkaz:
https://doaj.org/article/ed0e5f7f6ead42d7bc747ac29e1f2060