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Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions

Autor: Diaz-Ruiz, Carlos A., Xia, Youya, You, Yurong, Nino, Jose, Chen, Junan, Monica, Josephine, Chen, Xiangyu, Luo, Katie, Wang, Yan, Emond, Marc, Chao, Wei-Lun, Hariharan, Bharath, Weinberger, Kilian Q., Campbell, Mark

Advances in perception for self-driving cars have accelerated in recent years due to the availability of large-scale datasets, typically collected at specific locations and under nice weather conditions. Yet, to achieve the high safety requirement, t

Externí odkaz: http://arxiv.org/abs/2208.01166

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Akademický článek

Data-driven 2D grain growth microstructure prediction using deep learning and spectral graph theory

Autor: Niño, José, Johnson, Oliver K.

Publikováno v: In Computational Materials Science 31 January 2025 247

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Akademický článek

Persisting in tough times across Hong Kong, mainland China, and the Philippines: grit, achievement goal orientation, and science engagement

Autor: Jesus Alfonso D. Datu, Ming Ming Chiu, Nino Jose Mateo, Lan Yang

Publikováno v: International Journal of STEM Education, Vol 11, Iss 1, Pp 1-16 (2024)

Abstract Background Past studies of grit's educational benefits, such as science engagement, showed mixed results across cultures. So, we elaborated the prior model of grit (perseverance of effort, consistency of interest) with adaptability to situat

Externí odkaz: https://doaj.org/article/09c734d590b74168b406c55a50873fa0

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Akademický článek

Assessment of healthcare accessibility and travel distance on intrapartum fetal death: a retrospective cohort study

Autor: Vinicius Cesar Moterani, Joelcio Francisco Abbade, Vera Therezinha Medeiros Borges, Cecilia Guimarães Ferreira Fonseca, Nathalia Desiderio, Nino Jose Wilson Moterani Junior, Laura Bresciani Bento Gonçalves Moterani

Publikováno v: Revista Panamericana de Salud Pública, Vol 47, Iss 149, Pp 1-10 (2023)

Objective. To determine if there was an association between intrapartum stillbirths and both traveled distance for delivery and delivery care accessibility, assessing periods before and during the COVID-19 pandemic. Methods. This is a population-base

Externí odkaz: https://doaj.org/article/caa5b1dc977848c7a39156d072a91747

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