15 Result(s)
within
Aiwen **e
Computer Science
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Article
ELANet: Effective Lightweight Attention-Guided Network for Real-Time Semantic Segmentation
Deep neural networks have greatly facilitated the applications of semantic segmentation. However, most of the existing neural networks bring massive calculations with lots of model parameters for achieving a h...
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Chapter and Conference Paper
A Dense Prediction ViT Network for Single Image Bokeh Rendering
Rendering bokeh effects has become a research hotspot in the field of computational photography. Its essence is to focus on foreground area of interest, and blur other background areas for vision aesthetic req...
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Chapter and Conference Paper
A Differential Evolution Algorithm for Multi-objective Mixed-Variable Optimization Problems
Multi-objective mixed-variable optimization problems (MO-MVOPs) are common and complex practical design optimization problems. MO-MVOPs often include multiple complex functions, constraints and mixed types of ...
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Chapter and Conference Paper
TOPS: Transition-Based Volatility-Reduced Policy Search
Existing risk-averse reinforcement learning approaches still face several challenges, including the lack of global optimality guarantee and the necessity of learning from long-term consecutive trajectories. Lo...
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Article
Deliberation on object-aware video style transfer network with long–short temporal and depth-consistent constraints
Video style transfer, as a natural extension of image style transfer, has recently gained much interests. It has much important applications on non-photorealistic rendering and computer games. However, existin...
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Chapter and Conference Paper
Agricultural Products Risk Assessment Model Based on Enhanced RNN
In recent years, with the improvement of the people’s living conditions and the arousal of consumers’ consciousness, the problem of Agricultural Product Quality Safety becomes a hot topic that more and more pe...
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Chapter and Conference Paper
Recommendation Based on Attention Degree and Entropy
With the development of the Internet, the problem of information overload becomes more and more serious. The personalized recommendation technology can establish user profiles through the user’s behavior and o...
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Chapter and Conference Paper
Multi-sensor Data Fusion Based on Weighted Credibility Interval
The Dempster-Shafter combination rule often get wrong results when dealing with severely conflicting information. The existing typical improvement methods are mostly based on the similarity of attributes such ...
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Chapter and Conference Paper
Progressive Feature Fusion Network for Realistic Image Dehazing
Single image dehazing is a challenging ill-posed restoration problem. Various prior-based and learning-based methods have been proposed. Most of them follow a classic atmospheric scattering model which is an e...
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Article
Learning discriminative representations for semantical crossmodal retrieval
Heterogeneous gap among different modalities emerges as one of the critical issues in multimedia retrieval areas. Unlike traditional unimodal cases, where raw features are extracted and directly measured, the ...
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Chapter and Conference Paper
An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks
Recent works on single-image super-resolution are concentrated on improving performance through enhancing spatial encoding between convolutional layers. In this paper, we focus on modeling the correlations bet...
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Article
Global research trends of geographical information system from 1961 to 2010: a bibliometric analysis
A bibliometric analysis of published geographical information system (GIS) research was performed to evaluate current research trends, quantitatively and qualitatively, over the period 1961–2010, based on SCIE...
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Article
Global trends in DEM-related research from 1994 to 2013: a bibliometric analysis
Using the science citation index and the social sciences citation index databases, we performed a bibliometric analysis of the global studies on the digital evaluation model (DEM) that were conducted between 1...
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Chapter and Conference Paper
Research on Risk Management Technology of Complex Products SBA Life-Cycle
SBA of complex products is a system engineering, which includes collaboration of personnel/organization, management and technology. All the activities involved in equipment system and the life-cycle require th...
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Chapter and Conference Paper
Self-tuning PID Control of Hydro-turbine Governor Based on Genetic Neural Networks
A genetic neural networks (GNN) control strategy for hydro-turbine governor is proposed in this paper. Considering the complex dynamic characteristic and uncertainty of the hydro-turbine governor model and tak...
