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Published in 2020 at "International Journal of Control, Automation and Systems"
DOI: 10.1007/s12555-019-1014-4
Abstract: Advances in convolutional neural networks (CNNs) have driven the development of computer vision. Recent CNN architectures, such as those with skip residual connections (ResNets) or densely connected architectures (DenseNets), have facilitated backpropagation and improved the…
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Keywords:
neural network;
deep convolutional;
network architectures;
cnn ... See more keywords
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Published in 2017 at "Nature Communications"
DOI: 10.1038/s41467-017-01305-w
Abstract: Hyperconnected network architectures can endow nanomaterials with remarkable mechanical properties that are fundamentally controlled by designing connectivity into the intrinsic molecular structure. For hybrid organic–inorganic nanomaterials, here we show that by using 1,3,5 silyl benzene…
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Keywords:
stiffness;
network;
glass;
hyperconnected molecular ... See more keywords
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Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-42557-4
Abstract: Automated diagnosis of tuberculosis (TB) from chest X-Rays (CXR) has been tackled with either hand-crafted algorithms or machine learning approaches such as support vector machines (SVMs) and convolutional neural networks (CNNs). Most deep neural network…
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Keywords:
network;
efficient deep;
visualization;
tuberculosis ... See more keywords
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Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-020-80194-4
Abstract: To perform an accurate protein synthesis, ribosomes accomplish complex tasks involving the long-range communication between its functional centres such as the peptidyl transfer centre, the tRNA bindings sites and the peptide exit tunnel. How information…
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Keywords:
protein;
network;
protein network;
evolution ribosomal ... See more keywords
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Published in 2023 at "IEEE Computational Intelligence Magazine"
DOI: 10.1109/mci.2023.3245799
Abstract: Neural architecture search (NAS) has been widely studied to design high-performance network architectures automatically. However, existing approaches require more search time and substantial resource consumption due to their intensive architecture evaluations. Moreover, recently developed NAS…
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Keywords:
network architectures;
low cost;
architecture;
search ... See more keywords
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Published in 2019 at "IEEE Vehicular Technology Magazine"
DOI: 10.1109/mvt.2019.2904185
Abstract: The fifth generation (5G) of mobile networks is envisioned to support new applications having demanding requirements, such as low latency and high reliability, which is the focus of this article along with enhanced traditional mobile…
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Keywords:
demanding performance;
network architectures;
low latency;
performance requirements ... See more keywords
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Published in 2022 at "Symmetry"
DOI: 10.3390/sym14071391
Abstract: A number of modern techniques for neural network training and recognition enhancement are based on their structures’ symmetry. Such approaches demonstrate impressive results, both for recognition practice, and for understanding of data transformation processes in…
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Keywords:
network architectures;
neural network;
survey symmetrical;
symmetrical neural ... See more keywords