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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…
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Keywords:
efficient binary;
binary convolutional;
fog computing;
bnsc net ... See more keywords
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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…
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Keywords:
separable binary;
neural network;
binary convolutional;
embedded systems ... See more keywords
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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…
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Keywords:
network;
binary convolutional;
stt mram;
convolutional neural ... See more keywords
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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,…
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Keywords:
mobile devices;
neural networks;
binary convolutional;
convolutional neural ... See more keywords