Zobrazeno 1 - 10
of 2 612
pro vyhledávání: '"Ruiz, Miguel A"'
Publikováno v:
Applied Soft Computing, vol. 148, p. 110914, Nov. 2023
Identifying client needs to provide optimal services is crucial in tourist destination management. The events held in tourist destinations may help to meet those needs and thus contribute to tourist satisfaction. As with product management, the creat
Externí odkaz:
http://arxiv.org/abs/2410.19741
Bayesian estimation is a vital tool in robotics as it allows systems to update the belief of the robot state using incomplete information from noisy sensors. To render the state estimation problem tractable, many systems assume that the motion and me
Externí odkaz:
http://arxiv.org/abs/2408.00907
A fundamental task in robotics is to navigate between two locations. In particular, real-world navigation can require long-horizon planning using high-dimensional RGB images, which poses a substantial challenge for end-to-end learning-based approache
Externí odkaz:
http://arxiv.org/abs/2303.04011
Autor:
Leon Ruiz Miguel Mesias, Gil Gonzales Nahún, Vilchez Ramos Estaylor Marcelino, Chafloque Pinedo Luisa Enith
Publikováno v:
Frontiers in Built Environment, Vol 10 (2024)
The San Martín region, located in the Peruvian jungle, presents ecological constraints regarding environmental tourism, encompassing natural and cultural resources. However, unplanned urban growth is degrading the urban landscape, with the town cent
Externí odkaz:
https://doaj.org/article/f55966d82ead44a79e638f2823cc7a74
Publikováno v:
In Engineering Structures 1 January 2025 322 Part A
Publikováno v:
In Journal of Organometallic Chemistry 1 December 2024 1022
Publikováno v:
In Construction and Building Materials 8 November 2024 450
Publikováno v:
In Journal of Organometallic Chemistry 1 February 2025 1025
Autor:
Richerme, Philip, Revelle, Melissa C., Saha, Debadrita, Lopez-Ruiz, Miguel Angel, Dwivedi, Anurag, Norrell, Sam A., Yale, Christopher G., Lobser, Daniel, Burch, Ashlyn D., Clark, Susan M., Smith, Jeremy M., Sabry, Amr, Iyengar, Srinivasan S.
Calculating the observable properties of chemical systems is often classically intractable and is widely viewed as a promising application of quantum information processing. Yet one of the most common and important chemical systems in nature - the hy
Externí odkaz:
http://arxiv.org/abs/2204.08571
In this work, we consider the problem of learning a perception model for monocular robot navigation using few annotated images. Using a Vision Transformer (ViT) pretrained with a label-free self-supervised method, we successfully train a coarse image
Externí odkaz:
http://arxiv.org/abs/2203.03682