35,452 Result(s)
within
**hu Wang
Artificial Intelligence
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Article
Performance Enhancement of Aquivion-based Ionic Polymer Metal Composites for Cylindrical Actuators
As a kind of ionic artificial muscle material, Ionic Polymer–Metal Composites (IPMCs) have the advantages of a low drive current, light weight, and significant flexibility. IPMCs are widely used in the fields ...
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Article
Event-Driven Heterogeneous Network for Video Deraining
Restoring clear frames from rainy videos poses a significant challenge due to the swift motion of rain streaks. Traditional frame-based visual sensors, which record dense scene content synchronously, struggle ...
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Effective multi-scale enhancement fusion method for low-light images based on interest-area perception OCTM and “pixel healthiness” evaluation
Low-light images suffer from low contrast and low dynamic range. However, most existing single-frame low-light image enhancement algorithms are not good enough in terms of detail preservation and color express...
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CoFF-CHP: coarse-to-fine filters with concept heuristic prompt for few-shot relation classification
Few-shot relation classification (RC) is a crucial task that aims to identify the relationships between entity pairs with limited mentions. However, this task is challenging due to the insufficient amount of a...
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Setting a double-capacitive neuron coupled with Josephson junction and piezoelectric source
Perception of voice means acoustic electric conversion in the auditory system, and changes of external magnetic field can affect the neural activities by taming the channel current via some field components in...
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Article
Packet header-based reweight-long short term memory (Rew-LSTM) method for encrypted network traffic classification
With the development of Internet technology, cyberspace security has become a research hotspot. Network traffic classification is closely related to cyberspace security. In this paper, the problem of classific...
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Preference detection of the humanoid robot face based on EEG and eye movement
The face of a humanoid robot can affect the user experience, and the detection of face preference is particularly important. Preference detection belongs to a branch of emotion recognition that has received mu...
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Article
TOCOL: improving contextual representation of pre-trained language models via token-level contrastive learning
Self-attention, which allows transformers to capture deep bidirectional contexts, plays a vital role in BERT-like pre-trained language models. However, the maximum likelihood pre-training objective of BERT may...
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Article
Retraction Note: Editorial: neural computing in next-generation virtual reality technology
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Article
Spatially-Varying Illumination-Aware Indoor Harmonization
In this paper, we address the problem of spatially-varying illumination-aware indoor harmonization. Existing image harmonization works either focus on extracting no more than 2D information (e.g., low-level st...
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Article
The error sample feature compensation method for improving the robustness of underwater classification and recognition models
With the intensification of ocean exploration and development in recent years, the navigation equipment in the marine environment has become increasingly diversified, making the marine environment more complex...
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Article
Multi-scale pyramidal hash learning for traditional building facade image retrieval
Retrieving images captured of buildings is a critical need for intelligent urban management and tourism services. The different shooting angles, locations and distances lead to images under the same building o...
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Article
Correction: Learning sample-aware threshold for semi-supervised learning
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Article
Sequential attention layer-wise fusion network for multi-view classification
Graph convolutional network has shown excellent performance in multi-view classification. Currently, to output a fused node embedding representation in multi-view scenarios, existing researches tend to ensure ...
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Dual-branch feature fusion dehazing network via multispectral channel attention
Image information degradation significantly complicates single-image dehazing. Despite the noteworthy progress of learning-based methods in removing haze, many existing algorithms focus solely on haze removal ...
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Article
Incorporating self-attentions into robust spatial-temporal graph representation learning against dynamic graph perturbations
This paper proposes a Robust Spatial-Temporal Graph Neural Network (RSTGNN), which overcomes the limitations faced by graph-based models against dynamic graph perturbations using robust spatial-temporal self-a...
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Article
Time series clustering of dynamical systems via deterministic learning
A recent deterministic learning theory has achieved locally-accurate identification of unknown system dynamics. This article presents a novel application of deterministic learning theory to unsupervised learni...
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Article
Fall detection algorithm based on pyramid network and feature fusion
Accidental falls are the second leading cause of accidental death of the elderly. Early intervention measures can reduce the problem. However, so far, there are few related studies using Transformer coding mod...
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Article
Oriented R-CNN and Beyond
Currently, two-stage oriented detectors are superior to single-stage competitors in accuracy, but the step of generating oriented proposals is still time-consuming, thus hindering the inference speed. This pap...
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Article
Vagus nerve electrical stimulation in the recovery of upper limb motor functional impairment after ischemic stroke
Ischemic stroke (IS) is characterized by high mortality, disability rates, and a high risk of recurrence. Motor dysfunction, such as limb hemiparesis, dysphagia, auditory disorders, and speech disorders, usual...
