14 Result(s)
within
Computer Science
Artificial Intelligence
Computer Systems Organization and Communication Networks
**zhi Li
Conference Paper
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Chapter and Conference Paper
Rethinking Feature Context in Learning Image-Guided Depth Completion
Depth completion (DC) is a classical computer vision task, which aims to estimate the 3D structure of the observed scene by utilizing the sparse depth from the Lidar and the RGB image from the camera. Treating...
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Chapter and Conference Paper
A Full-Level Based Network to Detect Every Aircraft in Airport Scene
The rapid development of civil aviation has led to increasingly crowded airports. The complex airport environment and large number of aircraft make airport object detection a difficult task. Due to the large e...
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Chapter and Conference Paper
Multisymplectic Unscented Kalman Filter for Geometrically Exact Beams
This paper introduces an unscented Kalman filter for the dynamics of geometrically exact beams based on multisymplectic geometry and Hamel’s formalism for classical field theories. The presented approach is a ...
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Chapter and Conference Paper
Semantic Relation Transfer for Non-overlapped Cross-domain Recommendations
Although cross-domain recommender systems (CDRSs) are promising approaches to solving the cold-start problem, most CDRSs require overlapped users, which significantly limits their applications. To remove the o...
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Chapter and Conference Paper
5G Wireless Network Digital Twin System Based on High Precision Simulation
For a long time, the wireless signals of the communication network are invisible and intangible, which brings difficulties in recognizing and maintaining the network
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Chapter and Conference Paper
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF
Recognizing useful named entities plays a vital role in medical information processing, which helps drive the development of medical area research. Deep learning methods have achieved good results in medical n...
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Chapter and Conference Paper
An Improved Particle Swarm Optimization with Dual Update Strategies Collaboration Based Task Allocation
The task allocation problem is a hot topic in the field of multiple unmanned aerial vehicle (UAV). In this paper, we consider the task allocation in rescue scenarios and establish the optimization model. Then,...
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Chapter and Conference Paper
Learning the Implicit Semantic Representation on Graph-Structured Data
Existing representation learning methods in graph convolutional networks are mainly designed by describing the neighborhood of each node as a perceptual whole, while the implicit semantic associations behind h...
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Chapter and Conference Paper
Building of Chemical Reaction Modules and Design of Chaotic Oscillatory System Based on DNA Strand Displacement
DNA strand displacement as a new type of technology has provided different ways to build complex circuits. Research on chemical kinetics is helpful for exploiting the inherent potential property of biomolecula...
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Chapter and Conference Paper
Risk Prediction of Esophageal Cancer Using SOM Clustering, SVM and GA-SVM
In order to find the blood indicators significantly associated with the survival of esophageal cancer and predict the classification of patients’ risk levels in an affordable, convenient, and accurate manner, ...
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Chapter and Conference Paper
Designing, Modeling and Testing of the Flexible Space Probe-Cone Docking and Refueling Mechanism
According to the requirements of docking and refueling satellites for deep space exploration, the paper presents a docking and refueling mechanism under a weak impact rendezvous and docking conditions. The fle...
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Chapter and Conference Paper
Efficient and Accurate Iris Detection and Segmentation Based on Multi-scale Optimized Mask R-CNN
Iris segmentation plays an important role in iris recognition. However, traditional iris segmentation performance decreases dramatically on non-constrained conditions, which stops iris recognition system from...
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Chapter and Conference Paper
Conceptual Design of Ejection, Aerostat and Rolling Group Detectors
Floating exploration in near Mars is a new mode between orbiting detection and landing detection, synthesized with the advantages of orbiter’s global coverage and rover’s high image definition. Rolling explora...
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Chapter and Conference Paper
Research on Spatial Target Classification and Recognition Technology Based on Deep Learning
With the progress of human space technology, mankind stepped into more distant space. Due to the long distance from the earth in deep space exploration, higher requirements were put forward for intelligent cog...
