355 Result(s)
within
Xun **a
Artificial Intelligence
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Article
Open AccessResearch Progress on Bio-inspired Flap**-Wing Rotor Micro Aerial Vehicle Development
Flap**-wing rotor (FWR) is an innovative bio-inspired micro aerial vehicle capable of vertical take-off and landing. This unique design combines active flap** motion and passive wing rotation around a vert...
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Article
Mirror Turing Test: soul test based on poetry
With the rapid development of machine intelligence, an increasing number of websites and servers have been amicably visited or sometimes attached by intelligent machines intensively. Therefore, how to empower ...
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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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Article
Retraction Note: Virtual reality of recognition technologies of the improved contour coding image based on level set and neural network models
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Article
TransDehaze: transformer-enhanced texture attention for end-to-end single image dehaze
Image dehazing plays a pivotal role in enhancing the performance of computer vision applications by restoring the original colors and textures of images affected by haze. Traditional dehazing methods, primaril...
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Article
Learning Hierarchical Visual Transformation for Domain Generalizable Visual Matching and Recognition
Modern deep neural networks are prone to learn domain-dependent shortcuts and thus usually suffer from severe performance degradation when tested in unseen target domains due to their poor ability of out-of-di...
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Article
Deep contour attention learning for scleral deformation from OCT images
Swept-source optical coherence tomography (SS-OCT) is widely used to diagnose high myopia due to its advantage in imaging the ocular anatomic structures. Although the scleral deformation provides information o...
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Article
Detecting fake information with knowledge-enhanced AutoPrompt
The rapid growth of fake news on the Internet poses a challenge to accessing authentic information. Fake news detection plays a crucial role in filtering out false information and improving information accurac...
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Article
Open AccessMulti-objective coyote optimization algorithm based on hybrid elite framework and Meta-Lamarckian learning strategy for optimal power flow problem
A multi-objective coyote optimization algorithm based on hybrid elite framework and Meta-Lamarckian learning strategy (MOCOA-ML) was proposed to solve the optimal power flow (OPF) problem. MOCOA-ML adds extern...
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Article
Autonomy Evaluation of Unmanned Systems Based on Task Models
In this study, relevant work on autonomy evaluation (AE) in recent years was comprehensively reviewed and classified from the perspective of task models, and a closed-loop task models based theoretical framewo...
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Article
A hybrid similarity measure-based clustering approach for mixed attribute data
In mixed attribute clustering, the similarity measure superposition is skewed due to the difference of measuring different attribute types. In this paper, a new clustering approach for mixed attribute data is ...
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Article
A Transformer-Assisted Cascade Learning Network for Choroidal Vessel Segmentation
As a highly vascular eye part, the choroid is crucial in various eye disease diagnoses. However, limited research has focused on the inner structure of the choroid due to the challenges in obtaining sufficient...
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Article
Efficient LiDAR/inertial-based localization with prior map for autonomous robots
A rapid and accurate localization scheme is significant for the application of autonomous robots in a prior map. However, this task remains challenging in the real-time requirement due to the complex scan matc...
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Article
Open AccessActive Exploration Deep Reinforcement Learning for Continuous Action Space with Forward Prediction
The application of reinforcement learning (RL) to the field of autonomous robotics has high requirements about sample efficiency, since the agent expends for interaction with the environment. One method for sa...
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Chapter and Conference Paper
Explicit Composition of Neural Radiance Fields by Learning an Occlusion Field
The neural radiance field (NeRF) is an implicit representation of the appearance and shape of objects based on neural networks. While numerous studies have shown the great performance of NeRF on tasks like fre...
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Chapter and Conference Paper
A Novel SegNet Model for Crack Image Semantic Segmentation in Bridge Inspection
Cracks on bridge surfaces represent a significant defect that demands accurate and efficient inspection methods. However, current approaches for segmenting cracks suffer from low accuracy and slow detection sp...
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Chapter and Conference Paper
Single-Cell Multi-omics Clustering Algorithm Based on Adaptive Weighted Hyper-laplacian Regularization
Modern single-cell sequencing technologies are capable of analyzing multiple molecular patterns from the same single cell, which provides an unprecedented opportunity to analyze cellular heterogeneity from mul...
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Chapter and Conference Paper
LSTM and Transfer Learning Based Underwater Acoustics Broadband Power Amplifier Behavior Modeling
Sonar transmitter identification is an important way to identify the target. The key here is the recognition of the internal power amplifiers, which depends on the accuracy of the power amplifier behavioral model...
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Chapter and Conference Paper
Domain Incremental Learning for EEG-Based Seizure Prediction
When building seizure prediction systems, the typical research scenario is patient-specific. In this scenario, the model is limited to performing well for individual patients and cannot acquire knowledge trans...
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Chapter and Conference Paper
Deep Reinforcement Learning for Delay and Energy-Aware Task Scheduling in Edge Clouds
Edge computing is proving to be a promising model, offering low-latency and high-bandwidth services to the end-users. However, due to the dynamic nature of the network and the heterogeneous computing resources...
