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Published in 2019 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.12.077
Abstract: Abstract Recent years have witnessed great success of Single Image Super-Resolution (SISR) with convolutional neural network (CNN) based models. Most existing Super-Resolution (SR) networks use bicubic upscaled images as input or directly use low-resolution images…
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Keywords:
resolution;
shape;
super resolution;
attention ... See more keywords
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Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2938617
Abstract: Long-term Electrocardiogram (ECG) analysis has become a common means of diagnosing cardiovascular diseases. In order to reduce the workload of cardiologists and accelerate diagnosis, an automated patient-specific heartbeat classification method based on a customized convolutional…
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Keywords:
neural network;
channel wise;
convolutional neural;
classification ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3170704
Abstract: Change detection methods aim to identify significantly changed areas in co-registered bitemporal images taken of the same area. Since not only do bitemporal images usually have different environmental conditions (i.e., different weather conditions, noises, and…
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Keywords:
channel wise;
change detection;
network;
detection ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3210134
Abstract: Privacy-preserving deep learning (PPDL), which leverages Homomorphic Encryption (HE), has attracted attention as a promising approach to ensure the privacy of deep learning applications’ data. While recent studies have developed and evaluated the HE-based PPDL…
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Keywords:
channel wise;
neural network;
homomorphic encryption;
che ... See more keywords
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Published in 2019 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2018.2867183
Abstract: Traffic sign detection is challenging in cases of a complex background, occlusions, distortions, and so on. To overcome the above-mentioned challenges, this paper pays close attention to channel-wise feature responses to propose an end-to-end deep…
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Keywords:
channel wise;
sign detection;
feature;
traffic sign ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3199390
Abstract: Graph convolutional networks (GCNs) have shown success in many graph-based applications as they can combine node features and graph topology to obtain expressive embeddings. While there exist numerous GCN variants, a typical graph convolution layer…
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Keywords:
channel wise;
wise scale;
graph convolution;
scale transformation ... See more keywords
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Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3143836
Abstract: Highly sophisticated control based on a brain-computer interface (BCI) requires decoding kinematic information from brain signals. The forearm is a region of the upper limb that is often used in everyday life, but intuitive movements…
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Keywords:
channel wise;
neural network;
classification;
convolutional neural ... See more keywords