Zobrazeno 1 - 10
of 26 732
pro vyhledávání: '"Kapp"'
Autor:
De la Garza-Ramos C, Montazeri SA, Musto KR, Kapp MD, Lewis AR, Frey G, Paz-Fumagalli R, Ilyas S, Harnois DM, Majeed U, Patel T, Toskich B
Publikováno v:
Journal of Hepatocellular Carcinoma, Vol Volume 10, Pp 987-996 (2023)
Cynthia De la Garza-Ramos,1 S Ali Montazeri,1 Kaitlyn R Musto,1 Melissa D Kapp,1 Andrew R Lewis,1 Gregory Frey,1 Ricardo Paz-Fumagalli,1 Sumera Ilyas,2 Denise M Harnois,3 Umair Majeed,4 Tushar Patel,3 Beau Toskich1 1Division of Interventional Radiolo
Externí odkaz:
https://doaj.org/article/36e7b464fc524caebb5972935f4673a7
In Anbetracht des steigenden Umweltbewusstseins vieler Unternehmen wird in diesem Vortrag vorgestellt, wie Machine Learning (ML) eingesetzt werden kann, um Produktionsanlagen ressourcenschonender zu betreiben. Es wird ein Verfahren vorgestellt, mit d
Externí odkaz:
https://htwk-leipzig.qucosa.de/id/qucosa%3A83866
https://htwk-leipzig.qucosa.de/api/qucosa%3A83866/attachment/ATT-0/
https://htwk-leipzig.qucosa.de/api/qucosa%3A83866/attachment/ATT-0/
Publikováno v:
UrbanAI: Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Advances in Urban-AI 2024
This paper introduces SurfaceAI, a pipeline designed to generate comprehensive georeferenced datasets on road surface type and quality from openly available street-level imagery. The motivation stems from the significant impact of road unevenness on
Externí odkaz:
http://arxiv.org/abs/2409.18922
Autor:
Zastudil, Cynthia, Holyfield, Christine, Kapp, Christine, Crosland, Xandria, Lorah, Elizabeth, Zimmerman, Tara, MacNeil, Stephen
Millions of people worldwide rely on alternative and augmentative communication devices to communicate. Visual scene displays (VSDs) can enhance communication for these individuals by embedding communication options within contextualized images. Howe
Externí odkaz:
http://arxiv.org/abs/2408.11137
Road unevenness significantly impacts the safety and comfort of traffic participants, especially vulnerable groups such as cyclists and wheelchair users. To train models for comprehensive road surface assessments, we introduce StreetSurfaceVis, a nov
Externí odkaz:
http://arxiv.org/abs/2407.21454
Publikováno v:
ACM Computing Surveys, Volume 56, Issue 4 2023
Although highly valuable for a variety of applications, urban mobility data is rarely made openly available as it contains sensitive personal information. Synthetic data aims to solve this issue by generating artificial data that resembles an origina
Externí odkaz:
http://arxiv.org/abs/2407.09198
Autor:
Kapp, Alexandra
Publikováno v:
Proceedings on Privacy Enhancing Technologies Symposium 2022
Human mobility data is a crucial resource for urban mobility management, but it does not come without personal reference. The implementation of security measures such as anonymization is thus needed to protect individuals' privacy. Often, a trade-off
Externí odkaz:
http://arxiv.org/abs/2407.03732
Autor:
Kapp, Alexandra, Mihaljević, Helena
Publikováno v:
SIGSPATIAL 2023: Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems
In recent years, there has been a surge in the development of models for the generation of synthetic mobility data. These models aim to facilitate the sharing of data while safeguarding privacy, all while ensuring high utility and flexibility regardi
Externí odkaz:
http://arxiv.org/abs/2407.03237
Autor:
Kapp, Leandri
Sport, undeniably, plays a large role in society today. Over the years it has developed into an immensely lucrative industry, not only on the field of play but also off the field. In the modern-day digital environment where a vast portion of the worl
Externí odkaz:
http://hdl.handle.net/2263/79877
Autor:
Schmidt, Lena, Hair, Kaitlyn, Graziozi, Sergio, Campbell, Fiona, Kapp, Claudia, Khanteymoori, Alireza, Craig, Dawn, Engelbert, Mark, Thomas, James
Publikováno v:
Proceedings of the 3rd Workshop on Augmented Intelligence for Technology-Assisted Reviews Systems, 2024
This paper describes a rapid feasibility study of using GPT-4, a large language model (LLM), to (semi)automate data extraction in systematic reviews. Despite the recent surge of interest in LLMs there is still a lack of understanding of how to design
Externí odkaz:
http://arxiv.org/abs/2405.14445