Zobrazeno 1 - 10
of 26 571
pro vyhledávání: '"Rio, P"'
Autor:
Periáñez, África, del Río, Ana Fernández, Nazarov, Ivan, Jané, Enric, Hassan, Moiz, Rastogi, Aditya, Tang, Dexian
Mobile health has the potential to revolutionize health care delivery and patient engagement. In this work, we discuss how integrating Artificial Intelligence into digital health applications-focused on supply chain, patient management, and capacity
Externí odkaz:
http://arxiv.org/abs/2409.16098
Autor:
Yamada, Ryosuke, Hara, Kensho, Kataoka, Hirokatsu, Makihara, Koshi, Inoue, Nakamasa, Yokota, Rio, Satoh, Yutaka
Throughout the history of computer vision, while research has explored the integration of images (visual) and point clouds (geometric), many advancements in image and 3D object recognition have tended to process these modalities separately. We aim to
Externí odkaz:
http://arxiv.org/abs/2409.13535
Autor:
Dulski, K., Beyene, E., Chug, N., Curceanu, C., Czerwiński, E., Das, M., Gorgol, M., Jasińska, B., Kacprzak, K., Kapłon, Ł., Korcyl, G., Kozik, T., Kubat, K., Kumar, D., Lisowski, E., Lisowski, F., Mędrala-Sowa, J., Niedźwiecki, S., Pandey, P., Parzych, S., del Rio, E. Perez, Rädler, M., Sharma, S., Skurzok, M., Tayefi, K., Tanty, P., Stępień, E. Ł., Moskal, P.
Positron Annihilation Lifetime Spectroscopy (PALS) is a well-established non-destructive technique used for nanostructural characterization of porous materials. It is based on the annihilation of a positron and an electron. Mean positron lifetime in
Externí odkaz:
http://arxiv.org/abs/2409.07963
Applying Multi-Fidelity Bayesian Optimization in Chemistry: Open Challenges and Major Considerations
Multi fidelity Bayesian optimization (MFBO) leverages experimental and or computational data of varying quality and resource cost to optimize towards desired maxima cost effectively. This approach is particularly attractive for chemical discovery due
Externí odkaz:
http://arxiv.org/abs/2409.07190
Autor:
Bethel, E. Wes, Cramer, Vianna, del Rio, Alexander, Narins, Lothar, Pestano, Chris, Verma, Satvik, Arias, Erick, Bertelli, Nicola, Perciano, Talita, Shiraiwa, Syun'ichi, Villar, Álvaro Sánchez, Wallace, Greg, Wright, John C.
This work presents a detailed case study on using Generative AI (GenAI) to develop AI surrogates for simulation models in fusion energy research. The scope includes the methodology, implementation, and results of using GenAI to assist in model develo
Externí odkaz:
http://arxiv.org/abs/2409.06122
During coating processes, dust deposition can lead to an uneven thickness in the resulting film, posing significant problems in industrial processes. Our study explores the effects of solid defects using a vertical cylindrical fiber deposited on a si
Externí odkaz:
http://arxiv.org/abs/2409.04260
Autor:
Heuser, Annika, Kendall, Tyler, del Rio, Miguel, McNamara, Quinten, Bhandari, Nishchal, Miller, Corey, Jetté, Migüel
Common measures of accuracy used to assess the performance of automatic speech recognition (ASR) systems, as well as human transcribers, conflate multiple sources of error. Stylistic differences, such as verbatim vs non-verbatim, can play a significa
Externí odkaz:
http://arxiv.org/abs/2409.03059
Autor:
Ohtani, Go, Tadokoro, Ryu, Yamada, Ryosuke, Asano, Yuki M., Laina, Iro, Rupprecht, Christian, Inoue, Nakamasa, Yokota, Rio, Kataoka, Hirokatsu, Aoki, Yoshimitsu
In this work, we investigate the understudied effect of the training data used for image super-resolution (SR). Most commonly, novel SR methods are developed and benchmarked on common training datasets such as DIV2K and DF2K. However, we investigate
Externí odkaz:
http://arxiv.org/abs/2409.00768
Autor:
Bloor, Maximilian, Ahmed, Akhil, Kotecha, Niki, Mercangöz, Mehmet, Tsay, Calvin, Chanona, Ehecactl Antonio Del Rio
This work proposes a control-informed reinforcement learning (CIRL) framework that integrates proportional-integral-derivative (PID) control components into the architecture of deep reinforcement learning (RL) policies. The proposed approach augments
Externí odkaz:
http://arxiv.org/abs/2408.13566
Autor:
Saida, Hiromi, Matsui, Sena A., Takeuchi, Tsutomu T., Nishiyama, Shogo, Saitou, Rio, Takamori, Yohsuke, Takahashi, Masaaki
We have performed a parametrized post-Newtonian (PPN) test of a black hole spacetime using observational data of the star S0-2/S2 orbiting the massive black hole at our galactic center Sgr A*. After introducing our PPN model of black hole spacetime,
Externí odkaz:
http://arxiv.org/abs/2408.11284