Výsledky vyhledávání

Akademický článek

Point-of-Care Blood Testing in Severe Mental Illness: A Mixed-Methods Evaluation

Autor: Monty Lyman, Jack Fanshawe, Josh Brewin, Thomas Fanshawe, Philip Turner

Publikováno v: BJPsych Open, Vol 10, Pp S58-S59 (2024)

Aims There is a significant mortality gap between the general population and people with SMI. This is especially prominent in those with psychotic disorders, underpinned by an increased risk of cardiometabolic disease. Identifying patients at risk ea

Externí odkaz: https://doaj.org/article/b4b90c89eab44b99ba0770b3db21f0e5

Zobrazit plný text záznamu

Pit30M: A Benchmark for Global Localization in the Age of Self-Driving Cars

Autor: Shenlong Wang, Sasha Doubov, Julieta Martinez, Raquel Urtasun, loan Andrei Barsan, Jack Fan, Gellert Mattyus

Publikováno v: IROS

We are interested in understanding whether retrieval-based localization approaches are good enough in the context of self-driving vehicles. Towards this goal, we introduce Pit30M, a new image and LiDAR dataset with over 30 million frames, which is 10

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8c8304b2e514829a1deaa00d0a75f99
https://doi.org/10.1109/iros45743.2020.9340924

Zobrazit plný text záznamu

A Full-Color Micro LEDs Display Based on IGZO TFT

Autor: Xin Zhang, Bo He, Jack Fan, Chia-En Lee, Yang Sun, Shu-jhih Chen, Qiuyan Fang, Min Zhang

Publikováno v: 2020 IEEE 3rd International Conference on Electronics Technology (ICET).

Micro LED has shown a great potential for next generation of display owing to their fascinating optoelectronic characteristics and power efficient. In this paper, we investigated full-color Micro LED display through integrating three color RGB Micro

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::056a7e17e6d5bf5a08d75f8aabb957b2
https://doi.org/10.1109/icet49382.2020.9119705

Zobrazit plný text záznamu

DAGMapper: Learning to Map by Discovering Lane Topology

Autor: Raquel Urtasun, Xinyu Wu, Jack Fan, Wei-Chiu Ma, Namdar Homayounfar, Justin Liang

Publikováno v: ICCV

One of the fundamental challenges to scale self-driving is being able to create accurate high definition maps (HD maps) with low cost. Current attempts to automate this process typically focus on simple scenarios, estimate independent maps per frame

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a53b544627af88c8c24869e343e2385

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání