Zobrazeno 1 - 10
of 41 554
pro vyhledávání: '"A. Del Río"'
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
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:
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
We prove that any tensor product factorization with a commutative factor of a modular group algebra over a prime field comes from a direct product decomposition of the group basis. This extends previous work by Carlson and Kov\'acs for the commutativ
Externí odkaz:
http://arxiv.org/abs/2408.09036
Autor:
del Río, Ana Fernández, Leong, Michael Brennan, Saraiva, Paulo, Nazarov, Ivan, Rastogi, Aditya, Hassan, Moiz, Tang, Dexian, Periáñez, África
This paper introduces a reinforcement learning (RL) platform that enhances end-to-end user journeys in healthcare digital tools through personalization. We explore a case study with SwipeRx, the most popular all-in-one app for pharmacists in Southeas
Externí odkaz:
http://arxiv.org/abs/2408.08024
Autor:
del Río, Ana Fernández, Leong, Michael Brennan, Saraiva, Paulo, Nazarov, Ivan, Rastogi, Aditya, Hassan, Moiz, Tang, Dexian, Periáñez, África
Pharmacies are critical in healthcare systems, particularly in low- and middle-income countries. Procuring pharmacists with the right behavioral interventions or nudges can enhance their skills, public health awareness, and pharmacy inventory managem
Externí odkaz:
http://arxiv.org/abs/2408.07647
Autor:
Periáñez, África, Schmitz, Kathrin, Makhupula, Lazola, Hassan, Moiz, Moleko, Moeti, del Río, Ana Fernández, Nazarov, Ivan, Rastogi, Aditya, Tang, Dexian
By providing evidence-based clinical decision support, digital tools and electronic health records can revolutionize patient management, especially in resource-poor settings where fewer health workers are available and often need more training. When
Externí odkaz:
http://arxiv.org/abs/2408.07629
Autor:
Dadgar, M., Parzych, S., Ardebili, F. Tayefi, Baran, J., Chug, N., Curceanu, C., Czerwinski, E., Dulski, K., Eliyan, K., Gajos, A., Hiesmayr, B. C., Kacprzak, K., Kaplon, L., Klimaszewski, K., Konieczka, P., Korcyl, G., Kozik, T., Krzemien, W., Kumar, D., Niedzwiecki, S., Panek, D., del Rio, E. Perez, Raczynski, L., Sharma, S., Shivani, Shopa, R. Y., Skurzok, M., Ardebili, K. Tayefi, Vandenberghe, S., Wislicki, W., Stepien, E., Moskal, P.
The growing interest in human-grade total body positron emission tomography (PET) systems has also application in small animal research. Due to the existing limitations in human-based studies involving drug development and novel treatment monitoring,
Externí odkaz:
http://arxiv.org/abs/2408.00574