Zobrazeno 1 - 10
of 2 723
pro vyhledávání: '"Jordão P"'
Layer pruning offers a promising alternative to standard structured pruning, effectively reducing computational costs, latency, and memory footprint. While notable layer-pruning approaches aim to detect unimportant layers for removal, they often rely
Externí odkaz:
http://arxiv.org/abs/2411.14345
Fault tolerant on-chip photonic quantum computation is enormously helped by (a) deterministic generation of the needed thousands to millions of photon qubits from (b) quantum emitters in designed spatially ordered arrays to enable networks for implem
Externí odkaz:
http://arxiv.org/abs/2411.04412
Autor:
Baratela, Eduardo Alves, Xavier, Felipe Jordão, Peron, Thomas, Villas-Boas, Paulino Ribeiro, Rodrigues, Francisco Aparecido
Soccer attracts the attention of many researchers and professionals in the sports industry. Therefore, the incorporation of science into the sport is constantly growing, with increasing investments in performance analysis and sports prediction indust
Externí odkaz:
http://arxiv.org/abs/2409.13098
Autor:
Rosangela Duarte de Medeiros Person, Carine Prisco Arnoni, Janaína Guilhem Muniz, Tatiane Aparecida de Paula Vendrame, Flavia Roche Moreira Latini, Afonso José Pereira Cortez, Jordão Pellegrino, Jr, Lilian Maria de Castilho
Publikováno v:
Hematology, Transfusion and Cell Therapy, Vol 42, Iss 4, Pp 365-372 (2020)
Background: We evaluated different technological approaches and anti-D clones to propose the most appropriate serologic strategy in detecting the largest numbers of D variants in blood donors. Methods: We selected 101 samples from Brazilian blood don
Externí odkaz:
https://doaj.org/article/4f0bd4b0ac544558a5d3e1ccf213b428
Deep neural networks have been the predominant paradigm in machine learning for solving cognitive tasks. Such models, however, are restricted by a high computational overhead, limiting their applicability and hindering advancements in the field. Exte
Externí odkaz:
http://arxiv.org/abs/2405.17081
Autor:
Gonzalez, Karina, Jordão, Thaís
We present estimates for the covering numbers of the unit ball of Reproducing Kernel Hilbert Spaces (RKHSs) of functions on $M^d$ a d-dimensional compact two-point homogeneous space. The RKHS is generated by a continuous zonal/isotropic positive defi
Externí odkaz:
http://arxiv.org/abs/2405.08140
Realization of the long sought on-chip scalable photonic quantum information processing networks has been thwarted by the absence of spatially-ordered and scalable on-demand single photon emitters with emission figures-of-merit exceeding the required
Externí odkaz:
http://arxiv.org/abs/2312.15132
In this work, we describe a method for large-scale 3D cell-tracking through a segmentation selection approach. The proposed method is effective at tracking cells across large microscopy datasets on two fronts: (i) It can solve problems containing mil
Externí odkaz:
http://arxiv.org/abs/2308.04526
Autor:
Victor H. B. Tsukahara, Jordão N. O. Junior, Tamiris Prizon, Rafael N. Ruggiero, Carlos D. Maciel
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-16 (2024)
Abstract Purpose The objective is to suggest time as an important variable to consider in the network model, specifically when discussing causality. Methods There is a consideration of the context of functional connectivity because of the time import
Externí odkaz:
https://doaj.org/article/c55a638b9b394fa9984e9876ef38f339
Autor:
Rostand Moreira Fernandes, João Paulo Jordão Pontes, Celso Eduardo Rezende Borges, Demócrito Ribeiro de Brito Neto, Anastácio de Jesus Pereira, Vergílio Pereira Carvalho, Lucas Gonçalves Gomes, Fernando Cássio do Prado Silva
Publikováno v:
Hearts, Vol 5, Iss 3, Pp 349-364 (2024)
In cardiac surgery, poststernotomy pain is a significant issue, peaking within 48 h and requiring proper analgesia for both acute relief and avoidance of chronicization. Opioids are commonly used for pain management postsurgery but pose risks such as
Externí odkaz:
https://doaj.org/article/09dc44e740cb4b4ebab9340fdbcedb9a