118 Result(s)
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Article
Augmented Reality Based on Network Physics and 6G for Immersive Experience of Digital Media Art
To improve how digital media art is delivered and experienced, this study proposed a novel way to combine the unique capabilities of 6G networks with the effective Hybrid Neural Network Augmented Physics-based...
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Article
Image encryption algorithms based on two-dimensional discrete hyperchaotic systems and parallel compressive sensing
In this paper, a new two-dimensional discrete hyperchaotic system is proposed. Verification using the phase-track map, bifurcation map and Lyapunov exponent of the chaotic system shows that the chaotic system ...
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Article
GHB: a cost-effective and energy-efficient data center network structure with greater incremental scalability
Designing a cost-effective, energy-efficient and highly scalable network for data centers that can deliver sufficient bandwidth has drawn tremendous attentions recently. The data center networks constructed by...
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Chapter and Conference Paper
SPC-Net: Structure-Aware Pixel-Level Contrastive Learning Network for OCTA A/V Segmentation and Differentiation
Recent studies have indicated that morphological changes in retinal vessels are associated with many ophthalmic diseases, which have different impacts on arteries and veins (A/V) respectively. To this end, ret...
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Article
Open AccessCollaborative on-demand dynamic deployment via deep reinforcement learning for IoV service in multi edge clouds
In vehicular edge computing, the low-delay services are invoked by the vehicles from the edge clouds while the vehicles moving on the roads. Because of the insufficiency of computing capacity and storage resou...
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Article
Open AccessA new method for mining information of gut microbiome with probabilistic topic models
Microbiome is closely related to many major human diseases, but it is generally analyzed by the traditional statistical methods such as principal component analysis, principal coordinate analysis, etc. These m...
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Article
A multi-objective evolutionary algorithm based on mixed encoding for community detection
Community structure is one of the most significant features in complex networks and community detection is a crucial method to analyze community structure. Existing representations in community detection have ...
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Chapter and Conference Paper
A Data-Driven Algorithm for Large-Scale Multi-camera Calibration
Multi-camera calibration, which is the establishment of a map** relationship between the 2D coordinates of individual cameras and the 3D world coordinates, has been a major challenge in computer vision techn...
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Chapter and Conference Paper
Charge Own Job: Saliency Map and Visual Word Encoder for Image-Level Semantic Segmentation
Significant advances in weakly-supervised semantic segmentation (WSSS) methods with image-level labels have been made, but they have several key limitations: incomplete object regions, object boundary mismatch...
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Chapter and Conference Paper
Community Detection Based on Surrogate Network
This paper presents a novel methodology to detect communities in complex networks based on evolutionary computation. In the proposed method, a surrogate network with a more detectable community structure than ...
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Chapter and Conference Paper
Prediction of the Water Cut with the Hybrid Optimized SVR
The moisture content identification of a water drive oilfield is related to how to formulate and adjust the development plan of the oil field. However, traditional prediction methods for the water cut usually...
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Article
Triple-band perfect absorber based on the gold-Al2O3-grating structure in visible and near-infrared wavelength range
In this paper, a metal-dielectric-metal (MDM) structure consisting of the top gold-grating and Al2O3-grating compounded layer and the bottom gold substrate is proposed to realize the triple-band perfect absorptio...
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Article
Cross-view kernel collaborative representation classification for person re-identification
Currently, person re-identification (re-ID) has been applied in many public security applications. Yet owing to the big visual appearance changes of the same identity under different views, re-ID still faces m...
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Article
Analysis of interference on mirror-aided non-LOS backhaul data transmission in VLC attocell networks
Visible light communication (VLC) is a promising technology that addresses the bandwidth bottleneck of radio-frequency based indoor wireless networks. Optical attocell networks using VLC backhaul links have be...
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Chapter and Conference Paper
An Improved El Nino Index Forecasting Method Based on Parameters Optimization
El Nino is an important research issue in meteorology. In this paper, we propose a time series model to predict the NINO index. In this model, variational mode decomposition (VMD) is applied to extract multipl...
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Chapter and Conference Paper
BSO-CMA-ES: Brain Storm Optimization Based Covariance Matrix Adaptation Evolution Strategy for Multimodal Optimization
Recently, covariance matrix adaption evolution strategy (CMA-ES) and its variants have achieved great success in the continuous unimodal optimization tasks owing to its strong local search capabilities. Howeve...
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Chapter and Conference Paper
An Analysis of Routing Simulation Technology of Unmanned Cluster Based on OPNET
The military strategic guideline under the new situation points out that the base point of future war preparation is to win the informationized war mainly from the direction of unmanned cluster
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Chapter and Conference Paper
Graph Ensemble Networks for Semi-supervised Embedding Learning
Recently, semi-supervised graph learning has attracted growing research interests. Since the Graph Convolutional Network (GCN) was formulated, some studies argue that shallow architectures fall through over-fi...
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Chapter and Conference Paper
Robotic Brain Storm Optimization: A Multi-target Collaborative Searching Paradigm for Swarm Robotics
Swarm intelligence optimization algorithms can be adopted in swarm robotics for target searching tasks in a 2-D or 3-D space by treating the target signal strength as fitness values. Many current works in the ...
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Chapter and Conference Paper
A Hybrid Wind Speed Prediction Model Based on Signal Decomposition and Deep 1DCNN
Wind speed prediction is a typical time series prediction and is of great importance in power generation. In order to deal with those problems of heavy resource consumption and complex hyperparameter selection...
