2,023 Result(s)
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Development of a humanoid robot control system based on AR-BCI and SLAM navigation
Brain-computer interface (BCI)-based robot combines BCI and robotics technology to realize the brain’s intention to control the robot, which not only opens up a new way for the daily care of the disabled indiv...
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Open AccessA Region-Selective Anti-compression Image Encryption Algorithm Based on Deep Networks
In recent years, related research has focused on how to safely transfer and protect the privacy of images in social network services while providing easy access by authorized users. To safeguard privacy, we su...
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Relabeling and policy distillation of hierarchical reinforcement learning
Hierarchical reinforcement learning (HRL) is a promising method to extend traditional reinforcement learning to solve more complex tasks. HRL can solve the problems of long-term reward sparsity and credit assi...
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Open AccessDeep learning-driven automated quality assessment of ultra-widefield optical coherence tomography angiography images for diabetic retinopathy
Image quality assessment (IQA) of fundus images constitutes a foundational step in automated disease analysis. This process is pivotal in supporting the automation of screening, diagnosis, follow-up, and relat...
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GAMNet: a gated attention mechanism network for grading myopic traction maculopathy in OCT images
Myopic traction maculopathy (MTM) is a retinal disease caused by tractional forces on the macula, serving as a major contributor to irreversible visual impairment in highly myopic eyes. Given the clinical dive...
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Multi-class feature selection via Sparse Softmax with a discriminative regularization
Feature selection plays a critical role in many machine learning applications as it effectively addresses the challenges posed by “the curse of dimensionality” and enhances the generalization capability of tra...
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A Novel Method for Human-Vehicle Recognition Based on Wireless Sensing and Deep Learning Technologies
Currently, human-vehicle recognition (HVR) method has been applied in road monitoring, congestion control, and safety protection situations. However, traditional vision-based HVR methods suffer from problems s...
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Few-Shot Stereo Matching with High Domain Adaptability Based on Adaptive Recursive Network
Deep learning based stereo matching algorithms have been extensively researched in areas such as robot vision and autonomous driving due to their promising performance. However, these algorithms require a larg...
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Autonomous gait switching method and experiments of a hexapod walking robot for Mars environment with multiple terrains
Mars exploration significantly advances our understanding of planetary evolution, the origin of life, and possibilities for Earth’s future. It also holds potential for discovering new mineral resources, energy...
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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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A Causal Inspired Early-Branching Structure for Domain Generalization
Learning domain-invariant semantic representations is crucial for achieving domain generalization (DG), where a model is required to perform well on unseen target domains. One critical challenge is that standa...
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ProRLearn: boosting prompt tuning-based vulnerability detection by reinforcement learning
Software vulnerability detection is a critical step in ensuring system security and data protection. Recent research has demonstrated the effectiveness of deep learning in automated vulnerability detection. Ho...
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Feature distribution normalization network for multi-view stereo
As a key technique in 3D reconstruction, research in multi-view stereo (MVS) has made significant progress with the development of deep learning. However, MVS faces challenges due to inconsistent feature distr...
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Open AccessEfficient Visual Metaphor Image Generation Based on Metaphor Understanding
Metaphor has significant implications for revealing cognitive and thinking mechanisms. Visual metaphor image generation not only presents metaphorical connotations intuitively but also reflects AI’s understand...
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QEAN: quaternion-enhanced attention network for visual dance generation
The study of music-generated dance is a novel and challenging image generation task. It aims to input a piece of music and seed motions, then generate natural dance movements for the subsequent music. Transfor...
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RSGNN: residual structure graph neural network
Compared to conventional artificial neural networks, Graph Neural Networks (GNNs) better handle graph-structured data. Graph topology plays an important role in learning graph representations and impacts the p...
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Equilibrium optimizer with generalized opposition-based learning for multiple unmanned aerial vehicle path planning
Multiple unmanned aerial vehicle (UAV) path planning is the benchmark problem of multiple UAV application, which belongs to the non-deterministic polynomial problem. Its objective is to require multiple UAV to...
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DDTCN: Decomposed dimension time-domain convolutional neural network along spatial dimensions for multiple long-term series forecasting
Time series analysis is widely applied in action recognition, anomaly detection, and weather forecasting. Time series forecasting remains a key challenge due to the complexity of temporal patterns, overlap**...
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Deep Neural-Fuzzy System Algorithms with Improved Interpretability for Classification Problems
The adaptive neuro-fuzzy inference system (ANFIS), an efficient soft computing approach, has both high interpretability and self-learning ability. ANFIS can effectively handle the both classification and regre...
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Evaluation model of aluminum electrolysis cell condition based on multi-source heterogeneous data fusion
Industrial process data have the characteristics of heterogeneity, dimensional inconsistency and multi time scales, which increase the difficulty of condition evaluation in industrial process using multi-sourc...
