Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Xuegong Zhou"'
Autor:
Siyu Xiong, Guoqing Wu, Xitian Fan, Xuan Feng, Zhongcheng Huang, Wei Cao, Xuegong Zhou, Shijin Ding, Jinhua Yu, Lingli Wang, Zhifeng Shi
Publikováno v:
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-15 (2021)
Abstract Background Brain tumor segmentation is a challenging problem in medical image processing and analysis. It is a very time-consuming and error-prone task. In order to reduce the burden on physicians and improve the segmentation accuracy, the c
Externí odkaz:
https://doaj.org/article/41f73b7b7bd44c5c9d3fb3a0f4674bcd
Publikováno v:
ACM Transactions on Reconfigurable Technology and Systems. 16:1-28
Field-programmable gate arrays (FGPAs) are widely used because of the superiority in flexibility and lower non-recurring engineering cost. How to optimize the routing architecture is a key problem for FPGA architects because it has a large impact on
Publikováno v:
2022 International Conference on Field-Programmable Technology (ICFPT).
Publikováno v:
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 38:2330-2342
Placement has always been the most time-consuming part of the field programmable gate array (FPGA) compilation flow. Conventional simulated annealing has been unable to keep pace with ever increasing sizes of designs and FPGA chip resources. Without
Publikováno v:
2021 International Conference on Field-Programmable Technology (ICFPT).
Autor:
Guoqing Wu, Jinhua Yu, Wei Cao, Shijin Ding, Lingli Wang, Xuan Feng, Xuegong Zhou, Zhongcheng Huang, Zhifeng Shi, Siyu Xiong, Xitian Fan
Publikováno v:
BMC Bioinformatics
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-15 (2021)
BMC Bioinformatics, Vol 22, Iss 1, Pp 1-15 (2021)
Background Brain tumor segmentation is a challenging problem in medical image processing and analysis. It is a very time-consuming and error-prone task. In order to reduce the burden on physicians and improve the segmentation accuracy, the computer-a
Publikováno v:
ACM Transactions on Reconfigurable Technology and Systems. 12:1-16
NPN classification of Boolean functions is a powerful technique used in many logic synthesis and technology mapping tools in both standard cell and FPGA design flows. Computing the canonical form is the most common approach of Boolean function classi
Publikováno v:
FPT
Nonlinear layers (NLs) are indispensable parts of deep neural networks (DNNs). Targeting different inference tasks, NLs vary with different DNN models. Based on input range reduction and piecewise polynomial approximation, this paper proposes a low-c
Publikováno v:
FPT
Field Programmable Gate Arrays (FPGAs) are widely used because of the superiority in flexibility and low nonrecurring engineering cost. The routing architecture has a large impact on the FPGA area, delay and routability. Hence, it is important to opt
Publikováno v:
FPT
Tandem mass spectrometry-based database searching has currently been a significant technique for protein identification in proteomics. The ever-growing protein databases induce severe challenges for efficient database searching engines. Profiling ana