556 Result(s)
within
**aofei **
Computer Science
English
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Chapter and Conference Paper
CFDM-IME: A Collaborative Fault Diagnosis Method for Intelligent Manufacturing Equipment
The stability of the intelligent manufacturing industry will directly affect the development of the social economy. The privacy of data among different smart factories (SF) leads to a lack of generalization of...
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Chapter and Conference Paper
CRE: An Efficient Ciphertext Retrieval Scheme Based on Encoder
Searchable Encryption is utilized to address the issue of searching for outsourced encrypted data on third-party untrusted cloud servers. Traditional approaches for ciphertext retrieval are limited to basic ke...
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Chapter and Conference Paper
A Command-Activated Hardware Trojan Detection Method Based on LUNAR Framework
Hardware Trojans have become a major challenge to ICs due to their serious damage to the reliability and security. However, hardware Trojans can be activated in a variety of ways, making accurate activation of...
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Chapter and Conference Paper
Attention Auxiliary Supervision for Continuous Sign Language Recognition
Continuous Sign Language Recognition (CSLR) is a challenging task in the field of action recognition. It requires splitting a video into an indefinite number of glosses, which belong to different classes. Nowa...
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Article
Open AccessDisentangled representation transformer network for 3D face reconstruction and robust dense alignment
This paper proposes a disentangled representation transformer network (DRTN) for 3D dense face alignment and reconstruction. Unlike traditional 3DMM-based approaches, the target parameters, such as shape, expr...
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Article
ARCHER: a ReRAM-based accelerator for compressed recommendation systems
Modern recommendation systems are widely used in modern data centers. The random and sparse embedding lookup operations are the main performance bottleneck for processing recommendation systems on traditional ...
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Article
Spin-orbit torque efficiency enhancement to tungsten-based SOT-MTJs by interface modification with an ultrathin MgO
The effect of the MgO interlayer in the W/CoFeB interface on the charge-to-spin current conversion efficiency was experimentally investigated by changing the MgO interlayer thicknesses. Experimental results sh...
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Article
A survey on dynamic graph processing on GPUs: concepts, terminologies and systems
Graphs that are used to model real-world entities with vertices and relationships among entities with edges, have proven to be a powerful tool for describing real-world problems in applications. In most real-w...
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Article
Design of a Fully Autonomous Indoor Spray Robot
Indoor spraying is a crucial component of the construction industry. The future evolution of the spraying industry will inexorably involve the substitution of robot-assisted autonomous spraying for manual spra...
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Article
GFNet: gated fusion network for video saliency prediction
Most of the cutting-edge 3D convolutional-based video saliency prediction models adopt a fully convolutional encoder-decoder architecture, which provides a good spatiotemporal representation of salient regions...
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Article
Open AccessFocus-RCNet: a lightweight recyclable waste classification algorithm based on focus and knowledge distillation
Waste pollution is a significant environmental problem worldwide. With the continuous improvement in the living standards of the population and increasing richness of the consumption structure, the amount of d...
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Article
Attention-based efficient robot grasp detection network
To balance the inference speed and detection accuracy of a grasp detection algorithm, which are both important for robot gras** tasks, we propose an encoder–decoder structured pixel-level grasp detection neu...
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Article
Reconfiguring star inventors with commercialization: a case of the graphene sector
Star inventors are the most outstanding innovators in the technology field. Most extant literature defines star inventors along the lines of performance and social relationship. This paper presents a three-dim...
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Article
Combining Temporal and Interactive Features for Rumor Detection: A Graph Neural Network Based Model
Social media has been develo** rapidly and brings along several advantages. However, information spreading on social media with an unverified status, which tends to be rumors later becomes a potential threat...
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Article
Depth-guided deep filtering network for efficient single image bokeh rendering
Bokeh effect is usually used to highlight major contents in an image. Limited by the small sensors, cameras on smartphones are less sensitive to the depth information and cannot directly produce bokeh effect a...
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Article
A large-scale holistic measurement of crowdsourced edge cloud platform
Edge clouds have become a de-facto paradigm to deliver low and stable networks to delay-critical applications such as Web services and AR/VR. A unique form of edge clouds is those crowdsourced from third parti...
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Article
Reversible data hiding using a transformer predictor and an adaptive embedding strategy
In the field of reversible data hiding (RDH), designing a high-precision predictor to reduce the embedding distortion and develo** an effective embedding strategy to minimize the distortion caused by embeddi...
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Article
PCTMF-Net: heart sound classification with parallel CNNs-transformer and second-order spectral analysis
Heart disease is a common condition worldwide and has become one of the leading causes of death worldwide. The electrocardiogram (PCG) is a safe, painless, and non-invasive test that captures bioacoustic infor...
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Article
Improving generalization of image recognition with multi-branch generation network and contrastive learning
Aiming at the phenomenon that the recognition performance of the Image Recognition model trained by the source domain dataset decreases significantly after it is transplanted to the target domain dataset with ...
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Article
Hierarchical framework integrating rapidly-exploring random tree with deep reinforcement learning for autonomous vehicle
This paper proposes a systematic driving framework where the decision making module of reinforcement learning (RL) is integrated with rapidly-exploring random tree (RRT) as motion planning. RL is used to gener...
