Zobrazeno 1 - 10
of 12 759
pro vyhledávání: '"Bryan, M"'
Autor:
Ibik, Adaeze L., Drout, Maria R., Gaensler, Bryan M., Scholz, Paul, Sridhar, Navin, Margalit, Ben, Law, Casey J., Clarke, Tracy E., Tendulkar, Shriharsh P., Michilli, Daniele, Eftekhari, Tarraneh, Bhardwaj, Mohit, Burke-Spolaor, Sarah, Chatterjee, Shami, Cook, Amanda M., Hessels, Jason W. T., Kirsten, Franz, Joseph, Ronniy C., Kaspi, Victoria M., Lazda, Mattias, Masui, Kiyoshi W., Nimmo, Kenzie, Pandhi, Ayush, Pearlman, Aaron B., Pleunis, Ziggy, Rafiei-Ravandi, Masoud, Shin, Kaitlyn, Smith, Kendrick M.
The identification of persistent radio sources (PRSs) coincident with two repeating fast radio bursts (FRBs) supports FRB theories requiring a compact central engine. However, deep non-detections in other cases highlight the diversity of repeating FR
Externí odkaz:
http://arxiv.org/abs/2409.11533
Autor:
Wu, Shixun, Ding, Yitong, Zhai, Yujia, Liu, Jinyang, Huang, Jiajun, Jian, Zizhe, Dai, Huangliang, Di, Sheng, Wong, Bryan M., Chen, Zizhong, Cappello, Franck
K-means is a widely used algorithm in clustering, however, its efficiency is primarily constrained by the computational cost of distance computing. Existing implementations suffer from suboptimal utilization of computational units and lack resilience
Externí odkaz:
http://arxiv.org/abs/2408.01391
Autor:
Anumarlapudi, Akash, Dobie, Dougal, Kaplan, David L., Murphy, Tara, Horesh, Assaf, Lenc, Emil, Driessen, Laura N., Duchesne, Stefan W., Dykaar, Ms. Hannah, Gaensler, Bryan M., Galvin, Timothy J., Grundy, J. A., Heald, George, Hotan, Aidan, Huynh, Minh, Leung, James, McConnell, David, Moss, Vanessa A., Pritchard, Joshua, Raja, Wasim, Rose, Kovi, Sivakoff, Gregory R., Wang, Yuanming, Wang, Ziteng, Wieringa, Mark, Whiting, M. T.
Late-time ($\sim$ year) radio follow-up of optically-discovered tidal disruption events (TDEs) is increasingly resulting in detections at radio wavelengths, and there is growing evidence for this late-time radio activity to be common to the broad cla
Externí odkaz:
http://arxiv.org/abs/2407.12097
Autor:
Turishcheva, Polina, Fahey, Paul G., Vystrčilová, Michaela, Hansel, Laura, Froebe, Rachel, Ponder, Kayla, Qiu, Yongrong, Willeke, Konstantin F., Bashiri, Mohammad, Baikulov, Ruslan, Zhu, Yu, Ma, Lei, Yu, Shan, Huang, Tiejun, Li, Bryan M., De Wulf, Wolf, Kudryashova, Nina, Hennig, Matthias H., Rochefort, Nathalie L., Onken, Arno, Wang, Eric, Ding, Zhiwei, Tolias, Andreas S., Sinz, Fabian H., Ecker, Alexander S
Understanding how biological visual systems process information is challenging because of the nonlinear relationship between visual input and neuronal responses. Artificial neural networks allow computational neuroscientists to create predictive mode
Externí odkaz:
http://arxiv.org/abs/2407.09100
Autor:
O'Grady, Anna J. G., Drout, Maria R., Neugent, Kathryn F., Ludwig, Bethany, Gotberg, Ylva, Gaensler, Bryan M.
Recent works have constrained the binary fraction of evolved populations of massive stars in local galaxies such as red supergiants and Wolf-Rayet stars, but the binary fraction of yellow supergiants (YSGs) in the Hertzsprung Gap remains unconstraine
Externí odkaz:
http://arxiv.org/abs/2406.17177
Autor:
Dieguez, Adrian Perez, Choi, Min, Okyay, Mahmut, Del Ben, Mauro, Wong, Bryan M., Ibrahim, Khaled Z.
Tuning searches are pivotal in High-Performance Computing (HPC), addressing complex optimization challenges in computational applications. The complexity arises not only from finely tuning parameters within routines but also potential interdependenci
Externí odkaz:
http://arxiv.org/abs/2403.08131
Class activation maps (CAMs) are commonly employed in weakly supervised semantic segmentation (WSSS) to produce pseudo-labels. Due to incomplete or excessive class activation, existing studies often resort to offline CAM refinement, introducing addit
Externí odkaz:
http://arxiv.org/abs/2402.17891
We present 3D Points Splatting Hand Reconstruction (3D-PSHR), a real-time and photo-realistic hand reconstruction approach. We propose a self-adaptive canonical points upsampling strategy to achieve high-resolution hand geometry representation. This
Externí odkaz:
http://arxiv.org/abs/2312.13770
Autor:
Corponi, Filippo, Li, Bryan M., Anmella, Gerard, Valenzuela-Pascual, Clàudia, Mas, Ariadna, Pacchiarotti, Isabella, Valentí, Marc, Grande, Iria, Benabarre, Antonio, Garriga, Marina, Vieta, Eduard, Young, Allan H, Lawrie, Stephen M., Whalley, Heather C., Hidalgo-Mazzei, Diego, Vergari, Antonio
Personal sensing, leveraging data passively and near-continuously collected with wearables from patients in their ecological environment, is a promising paradigm to monitor mood disorders (MDs), a major determinant of worldwide disease burden. Howeve
Externí odkaz:
http://arxiv.org/abs/2311.04215