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Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-020-04754-6
Abstract: Nowadays, it has become well known that efficient training of deep neural networks plays a vital role in various successful applications. To achieve this goal, it is impractical to use only one computer, especially when…
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Keywords:
parallel training;
belief networks;
deep belief;
distributed parallel ... See more keywords
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Published in 2021 at "ISA transactions"
DOI: 10.1016/j.isatra.2021.01.026
Abstract: Firefly algorithm (FA) is a meta-heuristic optimization algorithm inspired by nature. Due to its superior performance, it has been widely used in real life. However, it also has some shortcomings in some optimization cases, such…
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Keywords:
parallel firefly;
communication;
communication strategies;
distributed parallel ... See more keywords
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Published in 2021 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2021.3067379
Abstract: This article presents the design and implementation of a low-cost software-defined radio-frequency identification (RFID) system for distributed parallel sensing. We aim to implement essential sensing functionalities with low-cost commodity radio components and provide full access…
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Keywords:
rfid;
distributed parallel;
software defined;
low cost ... See more keywords
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Published in 2024 at "IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems"
DOI: 10.1109/tcad.2023.3340128
Abstract: 3-D imaging sonar is crucial in the exploration of marine resources, and the development of portable device with high-imaging quality and high-real-time performance is the general trend. However, traditional framework methods are limited by the…
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Keywords:
distributed parallel;
fpga based;
accelerator;
acoustic imaging ... See more keywords
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Published in 2025 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2025.3624287
Abstract: Hyperspectral unmixing addresses the challenge of mixed pixels in hyperspectral images by identifying the number of pure pixels (endmembers), extracting their spectral signatures, and estimating their proportions (abundances) in each pixel composing the scene. Traditional…
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Keywords:
hyperspectral unmixing;
distributed parallel;
scale;
geometric distance ... See more keywords
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Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.940214
Abstract: Aberrant methylation is one of the early detectable events in many tumors, which is very promising for pan-cancer early-stage diagnosis and prognosis. To efficiently analyze the big pan-cancer methylation data and to overcome the co-methylation…
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Keywords:
distributed parallel;
methylation;
early stage;
pan cancer ... See more keywords
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Published in 2022 at "Algorithms"
DOI: 10.3390/a15040108
Abstract: Deep learning, with increasingly large datasets and complex neural networks, is widely used in computer vision and natural language processing. A resulting trend is to split and train large-scale neural network models across multiple devices…
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Keywords:
neural network;
trinity;
adaptive distributed;
method ... See more keywords
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Published in 2025 at "Applied Sciences"
DOI: 10.3390/app151910375
Abstract: To address the technical challenges in dynamic monitoring of grout diffusion patterns under complex geological conditions, in this study, a distributed parallel grouting monitoring system based on electrical resistivity tomography was developed. The system achieves…
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Keywords:
system;
resistivity;
distributed parallel;
grouting monitoring ... See more keywords