Articles with "binary convolutional" as a keyword



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An Efficient Binary Convolutional Neural Network With Numerous Skip Connections for Fog Computing

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Published in 2021 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2021.3052105

Abstract: Fog computing is promising to solve the challenge caused by an extremely large amount of data on cloud computing. In this study, an efficient binary convolutional neural network with numerous skip connections (BNSC-Net) is proposed… read more here.

Keywords: efficient binary; binary convolutional; fog computing; bnsc net ... See more keywords
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Separable Binary Convolutional Neural Network on Embedded Systems

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Published in 2020 at "IEEE Transactions on Computers"

DOI: 10.1109/tc.2020.2973974

Abstract: We have witnessed the tremendous success of deep neural networks. However, this success comes with the considerable memory and computational costs which make it difficult to deploy these networks directly on resource-constrained embedded systems. To… read more here.

Keywords: separable binary; neural network; binary convolutional; embedded systems ... See more keywords

A Multilevel Cell STT-MRAM-Based Computing In-Memory Accelerator for Binary Convolutional Neural Network

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Published in 2018 at "IEEE Transactions on Magnetics"

DOI: 10.1109/tmag.2018.2848625

Abstract: Due to additive operation’s dominated computation and simplified network in binary convolutional neural network (BCNN), it is promising for Internet of Things scenarios which demand ultralow power consumption. By means of fully exploiting the in-memory… read more here.

Keywords: network; binary convolutional; stt mram; convolutional neural ... See more keywords
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MB-CNN: Memristive Binary Convolutional Neural Networks for Embedded Mobile Devices

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Published in 2018 at "Journal of Low Power Electronics and Applications"

DOI: 10.3390/jlpea8040038

Abstract: Applications of neural networks have gained significant importance in embedded mobile devices and Internet of Things (IoT) nodes. In particular, convolutional neural networks have emerged as one of the most powerful techniques in computer vision,… read more here.

Keywords: mobile devices; neural networks; binary convolutional; convolutional neural ... See more keywords