Zobrazeno 1 - 10
of 15 884
pro vyhledávání: '"P. Lana"'
In the realm of human-machine interaction, artificial intelligence has become a powerful tool for accelerating data modeling tasks. Object detection methods have achieved outstanding results and are widely used in critical domains like autonomous dri
Externí odkaz:
http://arxiv.org/abs/2411.00818
Autor:
Li, Yijun, Choi, Ki Sueng, Dunlop, Boadie W., Craighead, Wade Edward, Mayberg, Helen S., Garmire, Lana, Guo, Ying, Kang, Jian
Brain connectivity analysis is crucial for understanding brain structure and neurological function, shedding light on the mechanisms of mental illness. To study the association between individual brain connectivity networks and the clinical character
Externí odkaz:
http://arxiv.org/abs/2410.02965
Autor:
Bikmukhametov, Farid, Glazko, Lana, Muravev, Yaroslav, Pozdeev, Dmitrii, Vasiliev, Evgeni, Krasikov, Sergey, Krasikova, Mariia
Acoustic black holes represent a special class of metastructures allowing efficient absorption based on the slow sound principle. The decrease of the wave speed is associated with the spatial variation of acoustic impedance, while the absorption prop
Externí odkaz:
http://arxiv.org/abs/2409.02731
Autor:
Dehghani, Farzaneh, Dibaji, Mahsa, Anzum, Fahim, Dey, Lily, Basdemir, Alican, Bayat, Sayeh, Boucher, Jean-Christophe, Drew, Steve, Eaton, Sarah Elaine, Frayne, Richard, Ginde, Gouri, Harris, Ashley, Ioannou, Yani, Lebel, Catherine, Lysack, John, Arzuaga, Leslie Salgado, Stanley, Emma, Souza, Roberto, Santos, Ronnie de Souza, Wells, Lana, Williamson, Tyler, Wilms, Matthias, Wahid, Zaman, Ungrin, Mark, Gavrilova, Marina, Bento, Mariana
Artificial Intelligence (AI) has paved the way for revolutionary decision-making processes, which if harnessed appropriately, can contribute to advancements in various sectors, from healthcare to economics. However, its black box nature presents sign
Externí odkaz:
http://arxiv.org/abs/2408.15550
Autor:
Araujo, Eduardo C., Codeço, Claudia T., Loch, Sandro, Vacaro, Luã B., Freitas, Laís P., Lana, Raquel M., Bastos, Leonardo S., de Almeida, Iasmim F., Valente, Fernanda, Carvalho, Luiz M., Coelho, Flávio C.
The influence of climate on mosquito-borne diseases like dengue and chikungunya is well-established, but comprehensively tracking long-term spatial and temporal trends across large areas has been hindered by fragmented data and limited analysis tools
Externí odkaz:
http://arxiv.org/abs/2407.21286
Autor:
Calixto, Camilo, Soldatelli, Matheus D., Li, Bo, Pierotich, Lana, Gholipour, Ali, Warfield, Simon K., Karimi, Davood
There is a growing interest in using diffusion MRI to study the white matter tracts and structural connectivity of the fetal brain. Recent progress in data acquisition and processing suggests that this imaging modality has a unique role in elucidatin
Externí odkaz:
http://arxiv.org/abs/2408.03942
Autor:
Luo, Sizuo, Weissenbilder, Robin, Laurell, Hugo, Bello, Roger Y., Marante, Carlos, Ammitzböll, Mattias, Neoričić, Lana, Ljungdahl, Anton, Squibb, Richard J., Feifel, Raimund, Gisselbrecht, Mathieu, Arnold, Cord L., Martín, Fernando, Lindroth, Eva, Argenti, Luca, Busto, David, L'Huillier, Anne
Fano resonances are ubiquitous phenomena appearing in many fields of physics, e.g. atomic or molecular photoionization, or electron transport in quantum dots. Recently, attosecond interferometric techniques have been used to measure the amplitude and
Externí odkaz:
http://arxiv.org/abs/2406.17539
Autor:
Mobeen, Surrayya, Cristobal, Jann, Singoji, Shashank, Rassas, Basaam, Izadi, Mohammadreza, Shayan, Zeinab, Yazdanshenas, Amin, Kaur, Harneet, Barnsley, Robert, Elliott, Lana, Faieghi, Reza
The neural moving horizon estimator (NMHE) is a relatively new and powerful state estimator that combines the strengths of neural networks (NNs) and model-based state estimation techniques. Various approaches exist for constructing NMHEs, each with i
Externí odkaz:
http://arxiv.org/abs/2406.15578
Autor:
Mateen, Syed Abdul, Malvia, Niharika, Khader, Syed Abdul, Wang, Danny, Srinivasan, Deepti, Yang, Chi-Fu Jeffrey, Schumacher, Lana, Manjanna, Sandeep
Publikováno v:
ICRA-RAMI Workshop, May 2024, Japan
This paper presents an approach for surgical phase recognition using video data, aiming to provide a comprehensive understanding of surgical procedures for automated workflow analysis. The advent of robotic surgery, digitized operating rooms, and the
Externí odkaz:
http://arxiv.org/abs/2406.09185
Peter Gacs proposed a one-dimensional cellular automaton capable of a robust self-reproduction. Because the automaton is exceptionally large and complicated, very few people have ever succeeded in simulating it on a computer or analyzing its behavior
Externí odkaz:
http://arxiv.org/abs/2405.04060