Theoretical Computer Science
38th National Conference, NCTCS 2020, Nanning, China, November 13–15, 2020, Revised Selected Papers
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43 Result(s)
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Article
Adversarial-based refinement dual-branch network for semi-supervised salient object detection of strip steel surface defects
The detection of surface defects on strip steel poses significant challenges due to factors such as background noise and interference. Moreover, the lack of labeled defect data in practical scenarios makes it ...
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Article
Modular Soft Robotic Crawlers Based on Fluidic Prestressed Composite Actuators
Soft robotic crawlers have limited payload capacity and crawling speed. This study proposes a high-performance inchworm-like modular robotic crawler based on fluidic prestressed composite (FPC) actuators. The ...
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Article
A multi-color and multistage collaborative network guided by refined transmission prior for underwater image enhancement
Due to the attenuation and scattering properties of light in underwater scenes, underwater images are generally subject to color deviations and low contrast, which is not conducive to the follow-up algorithms....
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Chapter and Conference Paper
Study on the Influencing Factors of Primary School Students’ Self-regulated Learning in the Smart Classroom: An Environmental Perspective
Smart classrooms provide a blended and autonomous learning experience for students and greatly promote their learning. In particular, it can support students’ self-regulated learning (SRL) process. However, fe...
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Chapter and Conference Paper
Improved YOLOv5 Algorithm for Small Object Detection in Drone Images
The object detection in the context of drone is a hot topic in the field of computer vision in recent years. In response to the challenge of limited image feature information and the presence of numerous small...
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Article
Energy and synchronization between two neurons with nonlinear coupling
Consensus and synchronous firing in neural activities are relative to the physical properties of synaptic connections. For coupled neural circuits, the physical properties of coupling channels control the sync...
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Article
Multi-task learning based on geometric invariance discriminative features
Multi-task learning (MTL) aims at tackling multiple tasks through one single network while guarantee all tasks can reach good performance. The main challenge in MTL is how to extract task-specific feature effe...
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Chapter and Conference Paper
Methods for Solving the Change Data Capture Problem
Change data capture (CDC) is an important strategic part of the data integration infrastructure. Obtaining change data from the source data system is the key to the incremental maintenance of data warehouse an...
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Chapter and Conference Paper
MCVIE: An Effective Batch-Mode Active Learning for Multi-label Text Classification
Data labeling for multi-label text is a challenging task in natural language processing, and active learning has emerged as a promising approach to reduce annotation effort while improving model performance. T...
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Chapter and Conference Paper
Research on the Influence of Aging Information System Optimization Based on Big Data on China’s Rural Revitalization
The strategy of rural revitalization is an important part of resolving the main contradictions of China’s current development, and it is of great significance to China's rural development. However, the long-te...
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Chapter and Conference Paper
Analysis of Hainan Tourism Carbon Balance Information System Based on Big Data
In the context of big data, this paper applies advanced intelligent technologies such as cloud computing and big data and green computing, based on the time series data related to tourism in Hainan Province 20...
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Article
Open AccessFabrication of Durable Superhydrophobic Stainless Steel Mesh with Nano/Micro Flower-Like Morphologies for Self-Cleaning and Efficient Oil/Water Separation
How to fabricate durable superhydrophobic materials for cyclic oil/water separation to solve oil-induced pollutions is still a problem. Herein, we fabricated a durable Superhydrophobic Stainless Steel Mesh (SH...
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Chapter and Conference Paper
Distill-AER: Fine-Grained Address Entity Recognition from Spoken Dialogue via Knowledge Distillation
Fine-grained address entity recognition from spoken dialogue is an important but challenging task because there are multiple types of address entities distributed across the multi-round dialogue context. Exist...
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Chapter and Conference Paper
MR Image Denoising Based on Improved Multipath Matching Pursuit Algorithm
Magnetic resonance images are accompanied by random Rician noise due to the influence of uncertain factors in the process of imaging, storage, which brings a lot of inconvenience to the subsequent processing o...
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Chapter and Conference Paper
Analysis of the Degree of Information Exchange Among Team Members in a Ccontrol Cabin
The communication and collaboration of team members is essential for the effective implementation of the work within a ccontrol room. In this study, a 1-h navigation mission for six positions (sound operator, ...
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Article
A Marker-Free 2D Image-Guided Method for Robot-Assisted Fracture Reduction Surgery
The closed fracture reduction is the first step of the minimally invasive treatment for long bone fractures, while it remains a challenging task due to heavy physical burden, excessive radiation exposure and p...
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Article
FuseRec: fusing user and item homophily modeling with temporal recommender systems
Recommender systems can benefit from a plethora of signals influencing user behavior such as her past interactions, her social connections, as well as the similarity between different items. However, existing ...
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Book and Conference Proceedings
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Chapter and Conference Paper
Design and Analysis of Power Grid Marketing Data Atlas
The grid marketing and grid dispatching systems store four grid structures: stations, lines, transformers, and households. However, because the standards and functional focus of each system data are not unifie...
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Chapter and Conference Paper
Contextualise Entities and Relations: An Interaction Method for Knowledge Graph Completion
The incompleteness of Knowledge Graph (KG) stimulates substantial research on knowledge graph completion, however, current state-of-the-art embedding based methods represent entities and relations in a semanti...
